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Barry Smyth
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- affiliation: University College Dublin, Insight Centre for Data Analytics, Ireland
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2020 – today
- 2024
- [c315]Neil Hurley
, Erika Duriakova
, James Geraci
, Diarmuid O'Reilly-Morgan
, Elias Z. Tragos
, Barry Smyth
, Aonghus Lawlor
:
ALS Algorithm for Robust and Communication-Efficient Federated Learning. EuroMLSys@EuroSys 2024: 56-64 - [c314]Diarmuid O'Reilly-Morgan
, Elias Z. Tragos
, James Geraci
, Qinqin Wang
, Neil Hurley
, Barry Smyth
, Aonghus Lawlor
:
A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. EuroMLSys@EuroSys 2024: 161-168 - [c313]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
A Case-Based Reasoning Approach to Post-injury Training Recommendations for Marathon Runners. ICCBR 2024: 338-353 - [c312]Heleen Muijlwijk
, Martijn C. Willemsen
, Barry Smyth
, Wijnand A. IJsselsteijn
:
Benefits of Human-AI Interaction for Expert Users Interacting with Prediction Models: a Study on Marathon Running. IUI 2024: 245-258 - [i21]Rian Dolphin, Barry Smyth, Ruihai Dong:
Contrastive Learning of Asset Embeddings from Financial Time Series. CoRR abs/2407.18645 (2024) - 2023
- [j69]Nina Hagemann
, Michael P. O'Mahony, Barry Smyth:
Visual Module Exploration: A Live-User Evaluation. Künstliche Intell. 37(2): 213-225 (2023) - [c311]Edoardo D'Amico
, Khalil Muhammad
, Elias Z. Tragos
, Barry Smyth
, Neil Hurley
, Aonghus Lawlor
:
Item Graph Convolution Collaborative Filtering for Inductive Recommendations. ECIR (1) 2023: 249-263 - [c310]Rian Dolphin, Barry Smyth, Ruihai Dong:
A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation. ICCBR 2023: 375-390 - [c309]Elias Z. Tragos, Diarmuid O'Reilly-Morgan, James Geraci, Bichen Shi, Barry Smyth, Cailbhe Doherty
, Aonghus Lawlor, Neil Hurley:
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework. IJCAI 2023: 6237-6245 - [c308]Ciara Feely
, Brian Caulfield
, Aonghus Lawlor
, Barry Smyth
:
Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations. UMAP 2023: 183-193 - [i20]Edoardo D'Amico, Khalil Muhammad, Elias Z. Tragos, Barry Smyth, Neil Hurley, Aonghus Lawlor:
Item Graph Convolution Collaborative Filtering for Inductive Recommendations. CoRR abs/2303.15946 (2023) - [i19]Rian Dolphin, Barry Smyth, Ruihai Dong:
Industry Classification Using a Novel Financial Time-Series Case Representation. CoRR abs/2305.00245 (2023) - [i18]Eoghan Cunningham, Derek Greene, Barry Smyth:
The Role of Document Embedding in Research Paper Recommender Systems: To Breakdown or to Bolster Disciplinary Borders? CoRR abs/2309.14984 (2023) - 2022
- [j68]Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos
, Neil Hurley, Barry Smyth, Aonghus Lawlor
, Ruihai Dong
:
Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems. IEEE Access 10: 71961-71972 (2022) - [j67]Eoghan Cunningham, Barry Smyth, Derek Greene:
Author multidisciplinarity and disciplinary roles in field of study networks. Appl. Netw. Sci. 7(1): 78 (2022) - [j66]Barry Smyth
, Aonghus Lawlor, Jakim Berndsen, Ciara Feely:
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners. User Model. User Adapt. Interact. 32(5): 787-838 (2022) - [c307]Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. AAAI 2022: 11604-11612 - [c306]Rian Dolphin
, Barry Smyth
, Ruihai Dong
:
A Machine Learning Approach to Industry Classification in Financial Markets. AICS 2022: 81-94 - [c305]Barry Smyth
, Mark T. Keane
:
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. ICCBR 2022: 18-32 - [c304]William Blanzeisky, Barry Smyth, Pádraig Cunningham
:
Algorithmic Bias and Fairness in Case-Based Reasoning. ICCBR 2022: 48-62 - [c303]Greta Warren
, Barry Smyth
, Mark T. Keane
:
"Better" Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI). ICCBR 2022: 63-78 - [c302]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
An Extended Case-Based Approach to Race-Time Prediction for Recreational Marathon Runners. ICCBR 2022: 335-349 - [c301]Qinqin Wang, Khalil Muhammad, Diarmuid O'Reilly-Morgan, Barry Smyth, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley, Ruihai Dong:
MARF: User-Item Mutual Aware Representation with Feedback. ICWE 2022: 3-15 - [c300]Qinqin Wang, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong:
Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation. UMAP 2022: 79-88 - [i17]Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. CoRR abs/2201.01770 (2022) - [i16]Rian Dolphin, Barry Smyth, Ruihai Dong:
Stock Embeddings: Learning Distributed Representations for Financial Assets. CoRR abs/2202.08968 (2022) - [i15]Eoghan Cunningham, Barry Smyth, Derek Greene:
Author Multidisciplinarity and Disciplinary Roles in Field of Study Networks. CoRR abs/2203.12504 (2022) - 2021
- [j65]Bichen Shi, Elias Z. Tragos
, Makbule Gulcin Ozsoy
, Ruihai Dong
, Neil Hurley, Barry Smyth, Aonghus Lawlor
:
DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. IEEE Access 9: 83340-83354 (2021) - [j64]Barry Smyth:
Estimating the Fatality Burden of SARS-CoV2. Digit. Gov. Res. Pract. 2(2): 21:1-21:8 (2021) - [j63]Barry Smyth:
Estimating Exposure Risk to Guide Behaviour During the SARS-COV2 Pandemic. Frontiers Digit. Health 3: 655745 (2021) - [j62]Mansura A. Khan
, Barry Smyth, David Coyle
:
Addressing the complexity of personalized, context-aware and health-aware food recommendations: an ensemble topic modelling based approach. J. Intell. Inf. Syst. 57(2): 229-269 (2021) - [c299]Linyi Yang, Jiazheng Li
, Padraig Cunningham
, Yue Zhang, Barry Smyth, Ruihai Dong:
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. ACL/IJCNLP (1) 2021: 306-316 - [c298]Erika Duriakova, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, Neil Hurley:
Boosting the Training Time of Weakly Coordinated Distributed Machine Learning. IEEE BigData 2021: 1023-1029 - [c297]Eoghan Cunningham, Barry Smyth, Derek Greene:
Navigating Multidisciplinary Research Using Field of Study Networks. COMPLEX NETWORKS 2021: 104-115 - [c296]Rian Dolphin
, Barry Smyth
, Yang Xu
, Ruihai Dong
:
Measuring Financial Time Series Similarity with a View to Identifying Profitable Stock Market Opportunities. ICCBR 2021: 64-78 - [c295]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries. ICCBR 2021: 79-93 - [c294]Mohammed Temraz
, Eoin M. Kenny, Elodie Ruelle
, Laurence Shalloo, Barry Smyth, Mark T. Keane:
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. ICCBR 2021: 216-231 - [c293]Gechuan Zhang
, Dairui Liu
, Barry Smyth
, Ruihai Dong
:
Deciphering Ancient Chinese Oracle Bone Inscriptions Using Case-Based Reasoning. ICCBR 2021: 309-324 - [c292]Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth:
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. IJCAI 2021: 4466-4474 - [c291]Nina Hagemann, Michael P. O'Mahony, Barry Smyth:
A Live-User Evaluation of a Visual Module Recommender and Advisory System for Undergraduate Students. SGAI Conf. 2021: 299-312 - [i14]Barry Smyth, Mark T. Keane:
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. CoRR abs/2101.09056 (2021) - [i13]Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth:
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. CoRR abs/2103.01035 (2021) - [i12]Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane:
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. CoRR abs/2104.04008 (2021) - [i11]Mark T. Keane, Eoin M. Kenny, Mohammed Temraz, Derek Greene, Barry Smyth:
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation. CoRR abs/2104.14461 (2021) - [i10]Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong:
Fact Check: Analyzing Financial Events from Multilingual News Sources. CoRR abs/2106.15221 (2021) - [i9]Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong:
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. CoRR abs/2106.15231 (2021) - [i8]Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong:
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities. CoRR abs/2107.03926 (2021) - [i7]Eoghan Cunningham, Barry Smyth, Derek Greene:
Collaboration in the Time of COVID: A Scientometric Analysis of Multidisciplinary SARS-CoV-2 Research. CoRR abs/2108.13370 (2021) - [i6]Mansura A. Khan, Khalil Muhammad, Barry Smyth, David Coyle:
Investigating Health-Aware Smart-Nudging with Machine Learning to Help People Pursue Healthier Eating-Habits. CoRR abs/2110.07045 (2021) - 2020
- [j61]Makbule Gulcin Ozsoy
, Diarmuid O'Reilly-Morgan, Panagiotis Symeonidis, Elias Z. Tragos
, Neil Hurley, Barry Smyth, Aonghus Lawlor
:
MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks. IEEE Access 8: 181835-181847 (2020) - [j60]Barry Smyth
:
Lockdowns & Rebounds: A Data Analysis of What Happens Next. Digit. Gov. Res. Pract. 1(4): 27:1-27:7 (2020) - [c290]Jiazheng Li
, Linyi Yang, Barry Smyth, Ruihai Dong:
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. CIKM 2020: 3063-3070 - [c289]Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong:
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. COLING 2020: 6150-6160 - [c288]Ciara Feely, Brian Caulfield, Aonghus Lawlor
, Barry Smyth:
Using Case-Based Reasoning to Predict Marathon Performance and Recommend Tailored Training Plans. ICCBR 2020: 67-81 - [c287]Barry Smyth, Martijn C. Willemsen
:
Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning. ICCBR 2020: 112-126 - [c286]Mark T. Keane, Barry Smyth:
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). ICCBR 2020: 163-178 - [c285]Jakim Berndsen, Barry Smyth, Aonghus Lawlor
:
A Collaborative Filtering Approach to Successfully Completing The Marathon. ICMLA 2020: 653-658 - [c284]Khalil Muhammad
, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Neil Hurley, James Geraci, Aonghus Lawlor
:
FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. KDD 2020: 1234-1242 - [c283]Jakim Berndsen, Barry Smyth, Aonghus Lawlor
:
Mining Marathon Training Data to Generate Useful User Profiles. MLSA@PKDD/ECML 2020: 113-125 - [c282]Erika Duriakova, Weipéng Huáng
, Elias Z. Tragos, Aonghus Lawlor
, Barry Smyth, James Geraci, Neil Hurley:
An Algorithmic Framework for Decentralised Matrix Factorisation. ECML/PKDD (2) 2020: 307-323 - [c281]Francisco J. Peña, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor
:
Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. RecSys 2020: 438-443 - [c280]Jakim Berndsen, Barry Smyth, Aonghus Lawlor
:
Fit to Run: Personalised Recommendations for Marathon Training. RecSys 2020: 480-485 - [c279]Ciara Feely, Brian Caulfield, Aonghus Lawlor
, Barry Smyth:
Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners. RecSys 2020: 539-544 - [c278]Linyi Yang, Tin Lok James Ng
, Barry Smyth, Ruihai Dong:
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. WWW 2020: 441-451 - [i5]Mark T. Keane, Barry Smyth:
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). CoRR abs/2005.13997 (2020) - [i4]Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong:
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. CoRR abs/2010.12512 (2020)
2010 – 2019
- 2019
- [c277]Barry Smyth:
Recommender Systems: A Healthy Obsession. AAAI 2019: 9790-9794 - [c276]Joeran Beel, Barry Smyth, Andrew Collins:
RARD II: The 94 Million Related-Article Recommendation Dataset. AMIR@ECIR 2019: 39-55 - [c275]Barry Smyth
:
A Tale of Two Communities: An Analysis of Three Decades of Case-Based Reasoning Research. ICCBR 2019: 343-357 - [c274]Cathal McConnell, Barry Smyth
:
Going Further with Cases: Using Case-Based Reasoning to Recommend Pacing Strategies for Ultra-Marathon Runners. ICCBR 2019: 358-372 - [c273]Nina Hagemann, Michael P. O'Mahony, Barry Smyth:
Visualising module dependencies in academic recommendations. IUI Companion 2019: 77-78 - [c272]Mansura A. Khan, Ellen Rushe, Barry Smyth, David Coyle:
Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach. HealthRecSys@RecSys 2019: 4-10 - [c271]Jakim Berndsen, Barry Smyth, Aonghus Lawlor
:
Pace my race: recommendations for marathon running. RecSys 2019: 246-250 - [c270]Erika Duriakova, Elias Z. Tragos, Barry Smyth, Neil Hurley, Francisco J. Peña, Panagiotis Symeonidis, James Geraci, Aonghus Lawlor
:
PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy. RecSys 2019: 457-461 - [c269]Bichen Shi, Makbule Gulcin Ozsoy
, Neil Hurley, Barry Smyth, Elias Z. Tragos, James Geraci, Aonghus Lawlor
:
PyRecGym: a reinforcement learning gym for recommender systems. RecSys 2019: 491-495 - [i3]Mansura A. Khan, Ellen Rushe, Barry Smyth, David Coyle:
Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach. CoRR abs/1908.00148 (2019) - 2018
- [c268]Khalil Muhammad, Aonghus Lawlor, Barry Smyth:
A Multi-Domain Analysis of Explanation-Based Recommendation using User-Generated Reviews. FLAIRS 2018: 474-477 - [c267]Barry Smyth
, Pádraig Cunningham
:
An Analysis of Case Representations for Marathon Race Prediction and Planning. ICCBR 2018: 369-384 - [c266]Barry Smyth, Padraig Cunningham
:
Marathon Race Planning: A Case-Based Reasoning Approach. IJCAI 2018: 5364-5368 - [c265]Nina Hagemann, Michael P. O'Mahony, Barry Smyth:
Module Advisor: Guiding Students with Recommendations. ITS 2018: 319-325 - [c264]Yichao Lu, Ruihai Dong, Barry Smyth:
Convolutional Matrix Factorization for Recommendation Explanation. IUI Companion 2018: 34:1-34:2 - [c263]Yichao Lu, Ruihai Dong, Barry Smyth:
Why I like it: multi-task learning for recommendation and explanation. RecSys 2018: 4-12 - [c262]Nina Hagemann, Michael P. O'Mahony, Barry Smyth:
Module advisor: a hybrid recommender system for elective module exploration. RecSys 2018: 498-499 - [c261]Nava Tintarev, Shahin Rostami, Barry Smyth:
Knowing the unknown: visualising consumption blind-spots in recommender systems. SAC 2018: 1396-1399 - [c260]Barry Smyth:
Running Recommendations: Personalisation Opportunities for Health and Fitness. UMAP 2018: 1 - [c259]Yichao Lu, Ruihai Dong, Barry Smyth:
Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews. WWW 2018: 773-782 - [p9]Peter Brusilovsky
, Barry Smyth, Bracha Shapira
:
Social Search. Social Information Access 2018: 213-276 - [p8]Michael P. O'Mahony
, Barry Smyth:
From Opinions to Recommendations. Social Information Access 2018: 480-509 - [i2]Jöran Beel, Barry Smyth, Andrew Collins:
RARD II: The 2nd Related-Article Recommendation Dataset. CoRR abs/1807.06918 (2018) - 2017
- [c258]Khalil Muhammad, Aonghus Lawlor
, Barry Smyth:
On the Pros and Cons of Explanation-Based Ranking. ICCBR 2017: 227-241 - [c257]Barry Smyth, Pádraig Cunningham
:
Running with Cases: A CBR Approach to Running Your Best Marathon. ICCBR 2017: 360-374 - [c256]Ruihai Dong, Barry Smyth:
User-Based Opinion-based Recommendation. IJCAI 2017: 4821-4825 - [c255]Severin Gsponer, Barry Smyth, Georgiana Ifrim
:
Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space. ECML/PKDD (2) 2017: 37-52 - [c254]Jakim Berndsen, Aonghus Lawlor, Barry Smyth:
Running with Recommendation. HealthRecSys@RecSys 2017: 18-21 - [c253]Barry Smyth, Pádraig Cunningham
:
A Novel Recommender System for Helping Marathoners to Achieve a New Personal-Best. RecSys 2017: 116-120 - 2016
- [j59]David B. Leake, Barry Smyth, Rosina Weber
:
Guest editors' introduction: special issue on case-based reasoning. J. Intell. Inf. Syst. 46(2): 235-236 (2016) - [j58]Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy
, Barry Smyth:
Combining similarity and sentiment in opinion mining for product recommendation. J. Intell. Inf. Syst. 46(2): 285-312 (2016) - [c252]Khalil Muhammad, Aonghus Lawlor, Barry Smyth:
Explanation-based Ranking in Opinionated Recommender Systems. AICS 2016: 128-139 - [c251]Khalil Muhammad, Aonghus Lawlor, Barry Smyth:
On the Use of Opinionated Explanations to Rank and Justify Recommendations. FLAIRS 2016: 554-559 - [c250]Ruihai Dong, Barry Smyth:
Personalized Opinion-Based Recommendation. ICCBR 2016: 93-107 - [c249]Khalil Ibrahim Muhammad, Aonghus Lawlor
, Barry Smyth:
A Live-User Study of Opinionated Explanations for Recommender Systems. IUI 2016: 256-260 - [c248]Yichao Lu, Ruihai Dong, Barry Smyth:
Context-Aware Sentiment Detection from Ratings. SGAI Conf. 2016: 87-101 - [c247]Barry Smyth, Rachael Rafter, Sam Banks:
Harnessing Crowdsourced Recommendation Preference Data from Casual Gameplay. UMAP 2016: 95-104 - [c246]Ruihai Dong, Barry Smyth:
From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews. UMAP 2016: 309-310 - 2015
- [c245]Barry Smyth, Rachael Rafter, Sam Banks:
A Game with a Purpose for Recommender Systems. HCOMP 2015: 38-39 - [c244]Barry Smyth:
From Small Sensors to Big Data. HT 2015: 101 - [c243]Khalil Muhammad, Aonghus Lawlor
, Rachael Rafter, Barry Smyth:
Great Explanations: Opinionated Explanations for Recommendations. ICCBR 2015: 244-258 - [c242]Sam Banks, Rachael Rafter, Barry Smyth:
The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data. RecSys 2015: 305-308 - [c241]Aonghus Lawlor
, Khalil Muhammad, Rachael Rafter, Barry Smyth:
Opinionated Explanations for Recommendation Systems. SGAI Conf. 2015: 331-344 - [c240]Doychin Doychev, Rachael Rafter, Aonghus Lawlor
, Barry Smyth:
News Recommenders: Real-Time, Real-Life Experiences. UMAP 2015: 337-342 - [c239]Khalil Muhammad, Aonghus Lawlor, Rachael Rafter, Barry Smyth:
Generating Personalised and Opinionated Review Summaries. UMAP Workshops 2015 - [p7]Ruihai Dong, Michael P. O'Mahony, Kevin McCarthy
, Barry Smyth:
Case-Studies in Mining User-Generated Reviews for Recommendation. Advances in Social Media Analysis 2015: 105-127 - [r1]Barry Smyth, Maurice Coyle, Peter Briggs, Kevin McNally, Michael P. O'Mahony:
Collaboration, Reputation and Recommender Systems in Social Web Search. Recommender Systems Handbook 2015: 569-608 - 2014
- [j57]Kevin McNally, Michael P. O'Mahony
, Barry Smyth:
A comparative study of collaboration-based reputation models for social recommender systems. User Model. User Adapt. Interact. 24(3): 219-260 (2014) - [c238]Ruihai Dong, Michael P. O'Mahony, Barry Smyth:
Further Experiments in Opinionated Product Recommendation. ICCBR 2014: 110-124 - 2013
- [j56]Daniel Kelly, Barry Smyth, Brian Caulfield:
Uncovering Measurements of Social and Demographic Behavior From Smartphone Location Data. IEEE Trans. Hum. Mach. Syst. 43(2): 188-198 (2013) - [c237]Owen Phelan, Kevin McCarthy
, Barry Smyth:
Towards a Novel and Timely Search and Discovery System Using the Real-Time Social Web. APWeb 2013: 746-757 - [c236]Ruihai Dong, Markus Schaal, Michael P. O'Mahony
, Kevin McCarthy
, Barry Smyth:
Opinionated Product Recommendation. ICCBR 2013: 44-58 - [c235]Ruihai Dong, Markus Schaal, Michael P. O'Mahony
, Kevin McCarthy
, Barry Smyth:
Mining Features and Sentiment from Review Experiences. ICCBR 2013: 59-73 - [c234]Kevin McNally, Michael P. O'Mahony, Barry Smyth:
A Model of Collaboration-based Reputation for the Social Web. ICWSM 2013 - [c233]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Barry Smyth:
Topic Extraction from Online Reviews for Classification and Recommendation. IJCAI 2013: 1310-1316 - [c232]Sandra Garcia Esparza, Michael P. O'Mahony
, Barry Smyth:
CatStream: categorising tweets for user profiling and stream filtering. IUI 2013: 25-36 - [c231]Steven Bourke, Michael P. O'Mahony
, Rachael Rafter, Barry Smyth:
Ranking in information streams. IUI Companion 2013: 99-100 - [c230]Zurina Saaya
, Rachael Rafter, Markus Schaal, Barry Smyth:
The curated web: a recommendation challenge. RecSys 2013: 101-104 - [c229]Ruihai Dong, Michael P. O'Mahony
, Markus Schaal, Kevin McCarthy
, Barry Smyth:
Sentimental product recommendation. RecSys 2013: 411-414 - [c228]Barry Smyth:
Opinionated Product Recommendation: Mining User-Generated Reviews for Recommendation Knowledge. RSWeb@RecSys 2013 - [c227]Zurina Saaya
, Markus Schaal, Rachael Rafter, Barry Smyth:
Recommending Topics for Web Curation. UMAP 2013: 242-253 - 2012
- [j55]Sandra Garcia Esparza, Michael P. O'Mahony
, Barry Smyth:
Mining the real-time web: A novel approach to product recommendation. Knowl. Based Syst. 29: 3-11 (2012) - [j54]Maria Salamó
, Kevin McCarthy
, Barry Smyth:
Generating recommendations for consensus negotiation in group personalization services. Pers. Ubiquitous Comput. 16(5): 597-610 (2012) - [c226]Eoin Hurrell, Alan F. Smeaton, Barry Smyth:
Interactivity and Multimedia in Case-Based Recommendation. FLAIRS 2012 - [c225]Ruihai Dong, Markus Schaal, Michael P. O'Mahony
, Kevin McCarthy
, Barry Smyth:
Harnessing the Experience Web to Support User-Generated Product Reviews. ICCBR 2012: 62-76 - [c224]Zurina Saaya
, Markus Schaal, Maurice Coyle, Peter Briggs, Barry Smyth:
Exploiting Extended Search Sessions for Recommending Search Experiences in the Social Web. ICCBR 2012: 369-383 - [c223]Ruihai Dong, Kevin McCarthy
, Michael P. O'Mahony
, Markus Schaal, Barry Smyth:
Towards an intelligent reviewer's assistant: recommending topics to help users to write better product reviews. IUI 2012: 159-168 - [c222]Ruihai Dong, Kevin McCarthy
, Michael P. O'Mahony
, Markus Schaal, Barry Smyth:
First demonstration of the intelligent reviewer's assistant. IUI 2012: 337-338 - [c221]Markus Schaal, Barry Smyth, Roland M. Müller, Rutger MacLean:
Information quality dimensions for the social web. MEDES 2012: 53-58 - [c220]Derek Greene
, Gavin Sheridan, Barry Smyth, Pádraig Cunningham
:
Aggregating content and network information to curate twitter user lists. RSWeb@RecSys 2012: 29-36 - [c219]Barry Smyth, Maurice Coyle, Peter Briggs:
HeyStaks: a real-world deployment of social search. RecSys 2012: 289-292 - [c218]Ruihai Dong, Markus Schaal, Michael P. O'Mahony
, Kevin McCarthy
, Barry Smyth:
The demonstration of the reviewer's assistant. RecSys 2012: 297-298 - [c217]Owen Phelan, Kevin McCarthy
, Barry Smyth:
Yokie: explorations in curated real-time search & discovery using twitter. RecSys 2012: 307-308 - [c216]Zurina Saaya, Markus Schaal, Maurice Coyle, Peter Briggs, Barry Smyth:
A Comparison of Machine Learning Techniques for Recommending Search Experiences in Social Search. SGAI Conf. 2012: 195-200 - [c215]Sandra Garcia Esparza, Michael P. O'Mahony, Barry Smyth:
Towards the Profiling of Twitter Users for Topic-Based Filtering. SGAI Conf. 2012: 273-286 - [c214]John Hannon, Kevin McCarthy, Barry Smyth:
Content vs. Tags for Friend Recommendation. SGAI Conf. 2012: 289-302 - [c213]Steven Bourke, Michael P. O'Mahony, Rachael Rafter, Kevin McCarthy, Barry Smyth:
Collaborative Filtering For Recommendation In Online Social Networks. SGAI Conf. 2012: 303-316 - [c212]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
Unsupervised Topic Extraction for the Reviewer's Assistant. SGAI Conf. 2012: 317-330 - [c211]Markus Schaal, John O'Donovan, Barry Smyth:
An Analysis of Topical Proximity in the Twitter Social Graph. SocInfo 2012: 232-245 - [c210]John Hannon, Kevin McCarthy
, Michael P. O'Mahony
, Barry Smyth:
A Multi-faceted User Model for Twitter. UMAP 2012: 303-309 - [i1]Derek Greene, Gavin Sheridan, Barry Smyth, Pádraig Cunningham
:
Aggregating Content and Network Information to Curate Twitter User Lists. CoRR abs/1206.1728 (2012) - 2011
- [j53]Barry Smyth, Jill Freyne, Maurice Coyle, Peter Briggs:
Recommendation as Collaboration in Web Search. AI Mag. 32(3): 35-45 (2011) - [j52]Kevin McNally, Michael P. O'Mahony
, Maurice Coyle, Peter Briggs, Barry Smyth:
A Case Study of Collaboration and Reputation in Social Web Search. ACM Trans. Intell. Syst. Technol. 3(1): 4:1-4:29 (2011) - [j51]John Riedl, Barry Smyth:
Introduction to special issue on recommender systems. ACM Trans. Web 5(1): 1:1-1:2 (2011) - [c209]Barry Smyth:
Web Search: Social & Collaborative. CORIA 2011: 3 - [c208]Owen Phelan, Kevin McCarthy, Mike Bennett, Barry Smyth:
Terms of a Feather: Content-Based News Recommendation and Discovery Using Twitter. ECIR 2011: 448-459 - [c207]John Hannon, Kevin McCarthy, Barry Smyth:
Finding Useful Users on Twitter: Twittomender the Followee Recommender. ECIR 2011: 784-787 - [c206]Barry Smyth:
Social Information Discovery. EDM 2011: 3 - [c205]John Hannon, Evgeny Knutov, Paul De Bra, Mykola Pechenizkiy, Kevin McCarthy, Barry Smyth:
Bridging Recommendation and Adaptation: Generic Adaptation Framework - Twittomender compliance case-study. DAH@HT 2011: 1-9 - [c204]Zurina Saaya
, Barry Smyth, Maurice Coyle, Peter Briggs:
Recommending Case Bases: Applications in Social Web Search. ICCBR 2011: 274-288 - [c203]Mike Bennett, Kevin McCarthy
, Sile O'Modhrain, Barry Smyth:
SimpleFlow: Enhancing Gestural Interaction with Gesture Prediction, Abbreviation and Autocompletion. INTERACT (1) 2011: 591-608 - [c202]Steven Bourke, Kevin McCarthy
, Barry Smyth:
The social camera: a case-study in contextual image recommendation. IUI 2011: 13-22 - [c201]John Hannon, Kevin McCarthy
, James Lynch, Barry Smyth:
Personalized and automatic social summarization of events in video. IUI 2011: 335-338 - [c200]Kevin McNally, Michael P. O'Mahony
, Barry Smyth, Maurice Coyle, Peter Briggs:
Social and collaborative web search: an evaluation study. IUI 2011: 387-390 - [c199]Steven Bourke, Kevin McCarthy
, Barry Smyth:
Power to the people: exploring neighbourhood formations in social recommender system. RecSys 2011: 337-340 - [c198]Kevin McNally, Michael P. O'Mahony
, Barry Smyth:
Models of Web Page Reputation in Social Search. SocialCom/PASSAT 2011: 435-442 - [c197]Zurina Saaya
, Barry Smyth, Maurice Coyle, Peter Briggs:
Recognising and Recommending Context in Social Web Search. UMAP 2011: 293-304 - [c196]Barry Smyth:
Search with a Little Help from Your Friends - Making Web Search More Collaborative. WEBIST 2011 - [c195]Barry Smyth:
Making Mainstream Web Search Engines More Collaborative. WEBIST (Selected Papers) 2011: 17-31 - [c194]Brian Caulfield, Jason Blood, Barry Smyth, Daniel Kelly:
Rehabilitation exercise feedback on Android platform. Wireless Health 2011: 18 - [c193]Owen Phelan, Kevin McCarthy
, Mike Bennett, Barry Smyth:
On using the real-time web for news recommendation & discovery. WWW (Companion Volume) 2011: 103-104 - [p6]Barry Smyth, Maurice Coyle, Peter Briggs:
Communities, Collaboration, and Recommender Systems in Personalized Web Search. Recommender Systems Handbook 2011: 579-614 - 2010
- [j50]Derek Greene
, Jill Freyne, Barry Smyth, Pádraig Cunningham
:
An Analysis of Current Trends in CBR Research Using Multi-View Clustering. AI Mag. 31(2): 45-62 (2010) - [j49]Jill Freyne, Lorcan Coyle, Barry Smyth, Padraig Cunningham
:
Relative status of journal and conference publications in computer science. Commun. ACM 53(11): 124-132 (2010) - [j48]Oisín Boydell
, Barry Smyth:
Social summarization in collaborative web search. Inf. Process. Manag. 46(6): 782-798 (2010) - [j47]Pierre-Antoine Champin, Peter Briggs, Maurice Coyle, Barry Smyth:
Coping with noisy search experiences. Knowl. Based Syst. 23(4): 287-294 (2010) - [j46]Michael P. O'Mahony
, Barry Smyth:
A classification-based review recommender. Knowl. Based Syst. 23(4): 323-329 (2010) - [c192]Barry Smyth:
Web Search Futures: Personal, Collaborative, Social. ECIR 2010: 10 - [c191]Michael P. O'Mahony, Barry Smyth:
The Readability of Helpful Product Reviews. FLAIRS 2010 - [c190]Jill Freyne, Barry Smyth:
Visualization for the Masses: Learning from the Experts. ICCBR 2010: 111-125 - [c189]Kevin McCarthy
, Yasser Salem, Barry Smyth:
Experience-Based Critiquing: Reusing Critiquing Experiences to Improve Conversational Recommendation. ICCBR 2010: 480-494 - [c188]Kevin McNally, Michael P. O'Mahony
, Barry Smyth, Maurice Coyle, Peter Briggs:
Towards a reputation-based model of social web search. IUI 2010: 179-188 - [c187]Guangyu Wu, Derek Greene
, Barry Smyth, Pádraig Cunningham
:
Distortion as a validation criterion in the identification of suspicious reviews. SOMA@KDD 2010: 10-13 - [c186]Karen Church, Josep M. Pujol, Barry Smyth, Noshir S. Contractor:
MobileHCI'10 workshop summary: social mobile web. Mobile HCI 2010: 509-512 - [c185]John Hannon, Mike Bennett, Barry Smyth:
Recommending twitter users to follow using content and collaborative filtering approaches. RecSys 2010: 199-206 - [c184]Sandra Garcia Esparza, Michael P. O'Mahony
, Barry Smyth:
On the real-time web as a source of recommendation knowledge. RecSys 2010: 305-308 - [c183]Michael P. O'Mahony, Barry Smyth:
Using readability tests to predict helpful product reviews. RIAO 2010: 164-167 - [c182]Sandra Garcia Esparza, Michael P. O'Mahony, Barry Smyth:
Effective Product Recommendation using the Real-Time Web. SGAI Conf. 2010: 5-18
2000 – 2009
- 2009
- [c181]Jill Freyne, Barry Smyth:
Creating Visualizations: A Case-Based Reasoning Perspective. AICS 2009: 82-91 - [c180]Michael P. O'Mahony
, Padraig Cunningham
, Barry Smyth:
An Assessment of Machine Learning Techniques for Review Recommendation. AICS 2009: 241-250 - [c179]Owen Phelan, Kevin McCarthy
, Barry Smyth:
Buzzer - Online Real-Time Topical News Article and Source Recommender. AICS 2009: 251-261 - [c178]Brendan O'Huiginn, Barry Smyth, Garrett Coughlan, Diarmaid Fitzgerald, Brian Caulfield:
Therapeutic Exergaming. BSN 2009: 273-277 - [c177]John O'Donovan, Brynjar Gretarsson, Svetlin Bostandjiev, Tobias Höllerer, Barry Smyth:
A Visual Interface for Social Information Filtering. CSE (4) 2009: 74-81 - [c176]Barry Smyth, Maurice Coyle, Peter Briggs:
The Altruistic Searcher. CSE (4) 2009: 360-367 - [c175]Jill Freyne, Adam J. Brennan, Barry Smyth, Daragh Byrne, Alan F. Smeaton
, Gareth J. F. Jones
:
Automated Murmurs: The Social Mobile Tourist Application. CSE (4) 2009: 1021-1026 - [c174]Barry Smyth, Peter Briggs, Maurice Coyle, Michael P. O'Mahony
:
A Case-Based Perspective on Social Web Search. ICCBR 2009: 494-508 - [c173]Karen Church, Barry Smyth:
Understanding the intent behind mobile information needs. IUI 2009: 247-256 - [c172]Michael P. O'Mahony
, Barry Smyth:
Learning to recommend helpful hotel reviews. RecSys 2009: 305-308 - [c171]Owen Phelan, Kevin McCarthy
, Barry Smyth:
Using twitter to recommend real-time topical news. RecSys 2009: 385-388 - [c170]Pierre-Antoine Champin, Peter Briggs, Maurice Coyle, Barry Smyth:
Coping with Noisy Search Experiences. SGAI Conf. 2009: 5-18 - [c169]Michael P. O'Mahony, Barry Smyth:
A Classification-based Review Recommender. SGAI Conf. 2009: 49-62 - [c168]Barry Smyth, Peter Briggs, Maurice Coyle, Michael P. O'Mahony
:
Google Shared. A Case-Study in Social Search. UMAP 2009: 283-294 - [c167]Rachael Rafter, Michael P. O'Mahony
, Neil J. Hurley
, Barry Smyth:
What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective. UMAP 2009: 355-360 - 2008
- [j45]Barry Smyth, Paul Cotter, Stephen Oman:
Intelligent Content Discovery on the Mobile Internet: Experiences and Lessons Learned. AI Mag. 29(1): 29-40 (2008) - [j44]Mark T. Keane, Maeve O'Brien, Barry Smyth:
Are people biased in their use of search engines? Commun. ACM 51(2): 49-52 (2008) - [j43]Lucy E. Dunne, Pauline Walsh, Sonja Hermann, Barry Smyth, Brian Caulfield:
Wearable Monitoring of Seated Spinal Posture. IEEE Trans. Biomed. Circuits Syst. 2(2): 97-105 (2008) - [c166]Maurice Coyle, Jill Freyne, Peter Brusilovsky
, Barry Smyth:
Social Information Access for the Rest of Us: An Exploration of Social YouTube. AH 2008: 93-102 - [c165]Maurice Coyle, Barry Smyth:
(Web Search)shared: Social Aspects of a Collaborative, Community-Based Search Network. AH 2008: 103-112 - [c164]John O'Donovan, Barry Smyth, Brynjar Gretarsson, Svetlin Bostandjiev, Tobias Höllerer:
PeerChooser: visual interactive recommendation. CHI 2008: 1085-1088 - [c163]Derek Greene
, Jill Freyne, Barry Smyth, Padraig Cunningham
:
An Analysis of Research Themes in the CBR Conference Literature. ECCBR 2008: 18-43 - [c162]Peter Briggs, Barry Smyth:
Provenance, Trust, and Sharing in Peer-to-Peer Case-Based Web Search. ECCBR 2008: 89-103 - [c161]Karen Church, Barry Smyth:
Who, what, where & when: a new approach to mobile search. IUI 2008: 309-312 - [c160]Karen Church, Barry Smyth, Keith Bradley, Paul Cotter:
A large scale study of European mobile search behaviour. Mobile HCI 2008: 13-22 - [c159]Karen Church, Barry Smyth:
Understanding mobile information needs. Mobile HCI 2008: 493-494 - [p5]Barry Smyth:
Personalization-Privacy Tradeoffs in Adaptive Information Access. Personalization Techniques and Recommender Systems 2008: 3-32 - 2007
- [j42]Michael P. O'Mahony
, Barry Smyth:
Collaborative web search: a robustness analysis. Artif. Intell. Rev. 28(1): 69-86 (2007) - [j41]Karen Church, Barry Smyth:
Improving mobile search using content enrichment. Artif. Intell. Rev. 28(1): 87-102 (2007) - [j40]Barry Smyth:
A Community-Based Approach to Personalizing Web Search. Computer 40(8): 42-50 (2007) - [j39]Barry Smyth:
Adaptive Information Access: Personalization and Privacy. Int. J. Pattern Recognit. Artif. Intell. 21(2): 183-205 (2007) - [j38]Maurice Coyle, Barry Smyth:
Supporting intelligent Web search. ACM Trans. Internet Techn. 7(4): 20 (2007) - [j37]Karen Church, Barry Smyth, Paul Cotter, Keith Bradley:
Mobile information access: A study of emerging search behavior on the mobile Internet. ACM Trans. Web 1(1): 4 (2007) - [c158]Barry Smyth, Paul Cotter, Stephen Oman:
Enabling Intelligent Content Discovery on the Mobile Internet. AAAI 2007: 1744-1751 - [c157]Barry Smyth:
Case-Based Recommendation. The Adaptive Web 2007: 342-376 - [c156]Anthony Jameson, Barry Smyth:
Recommendation to Groups. The Adaptive Web 2007: 596-627 - [c155]Lucy E. Dunne, Pauline Walsh, Barry Smyth, Brian Caulfield:
A System for Wearable Monitoring of Seated Posture in Computer Users. BSN 2007: 203-207 - [c154]Lucy E. Dunne, Barry Smyth:
Psychophysical elements of wearability. CHI 2007: 299-302 - [c153]Maurice Coyle, Barry Smyth:
Information Recovery and Discovery in Collaborative Web Search. ECIR 2007: 356-367 - [c152]Peter Briggs, Barry Smyth:
Harnessing Trust in Social Search. ECIR 2007: 525-532 - [c151]Rosta Farzan, Maurice Coyle, Jill Freyne, Peter Brusilovsky
, Barry Smyth:
ASSIST: adaptive social support for information space traversal. Hypertext 2007: 199-208 - [c150]Edwin Costello, Lorraine McGinty, Matt Burland, Barry Smyth:
The Role of Recommendation for Flavor Innovation and Discovery. IC-AI 2007: 463-469 - [c149]Kevin McCarthy, Lorraine McGinty, Barry Smyth:
Case-Based Group Recommendation: Compromising for Success. ICCBR 2007: 299-313 - [c148]Oisín Boydell, Barry Smyth:
Enhancing Case-Based, Collaborative Web Search. ICCBR 2007: 329-343 - [c147]John O'Donovan, Barry Smyth, Vesile Evrim, Dennis McLeod:
Extracting and Visualizing Trust Relationships from Online Auction Feedback Comments. IJCAI 2007: 2826-2831 - [c146]Lucy E. Dunne, Barry Smyth, Brian Caulfield:
A Comparative Evaluation of Bend Sensors for Wearable Applications. ISWC 2007: 121-122 - [c145]Lucy E. Dunne, Barry Smyth, Brian Caulfield:
Evaluating the Impact of Garment Structure on Wearable Sensor Performance. ISWC 2007: 123-124 - [c144]Oisín Boydell
, Barry Smyth:
From social bookmarking to social summarization: an experiment in community-based summary generation. IUI 2007: 42-51 - [c143]Jill Freyne, Rosta Farzan, Peter Brusilovsky
, Barry Smyth, Maurice Coyle:
Collecting community wisdom: integrating social search & social navigation. IUI 2007: 52-61 - [c142]Karen Church, Barry Smyth:
Mobile content enrichment. IUI 2007: 112-121 - [c141]Maurice Coyle, Barry Smyth:
On the community-based explanation of search results. IUI 2007: 282-285 - [c140]James Reilly, Jiyong Zhang
, Lorraine McGinty, Pearl Pu, Barry Smyth:
A comparison of two compound critiquing systems. IUI 2007: 317-320 - [c139]Peter Briggs, Barry Smyth:
Trusted search communities. IUI 2007: 337-340 - [c138]Jill Freyne, Emil Varga, Daragh Byrne, Alan F. Smeaton, Barry Smyth, Gareth J. F. Jones:
Realising Context-Sensitive Mobile Messaging. OTM Workshops (1) 2007: 407-416 - [c137]Barry Smyth:
Adventures in Personalized Information Access. ECML/PKDD 2007: 5 - [c136]Michael P. O'Mahony
, Barry Smyth:
A recommender system for on-line course enrolment: an initial study. RecSys 2007: 133-136 - [c135]Barry Smyth:
Adventures in Personalized Web Search. SGAI Conf. 2007: 3 - [c134]James Reilly, Jiyong Zhang
, Lorraine McGinty, Pearl Pu, Barry Smyth:
Evaluating compound critiquing recommenders: a real-user study. EC 2007: 114-123 - [e3]Joseph A. Konstan, John Riedl, Barry Smyth:
Proceedings of the 2007 ACM Conference on Recommender Systems, RecSys 2007, Minneapolis, MN, USA, October 19-20, 2007. ACM 2007, ISBN 978-1-59593-730-8 [contents] - 2006
- [j36]Peter Briggs, Barry Smyth:
On the role of trust in collaborative Web search. Artif. Intell. Rev. 25(1-2): 97-117 (2006) - [j35]Martin Halvey
, Mark T. Keane, Barry Smyth:
Mobile web surfing is the same as web surfing. Commun. ACM 49(3): 76-81 (2006) - [j34]John O'Donovan, Barry Smyth:
Mining Trust Values from Recommendation Errors. Int. J. Artif. Intell. Tools 15(6): 945-962 (2006) - [j33]Lorraine McGinty, Barry Smyth:
Adaptive Selection: An Analysis of Critiquing and Preference-Based Feedback in Conversational Recommender Systems. Int. J. Electron. Commer. 11(2): 35-57 (2006) - [j32]Barry Smyth, Evelyn Balfe:
Anonymous personalization in collaborative web search. Inf. Retr. 9(2): 165-190 (2006) - [j31]Hyowon Lee, Alan F. Smeaton
, Noel E. O'Connor, Barry Smyth:
User evaluation of Físchlár-News: An automatic broadcast news delivery system. ACM Trans. Inf. Syst. 24(2): 145-189 (2006) - [c133]Jill Freyne, Barry Smyth:
Cooperating Search Communities. AH 2006: 101-110 - [c132]Martin Halvey, Mark T. Keane, Barry Smyth:
Temporal Rules for Predicting User Navigation in the Mobile Web. AH 2006: 111-120 - [c131]Lucy E. Dunne, Sarah Brady, Richard Tynan, Kim Lau, Barry Smyth, Dermot Diamond, Gregory M. P. O'Hare:
Garment-based body sensing using foam sensors. AUIC 2006: 165-171 - [c130]Martin Halvey, Mark T. Keane, Barry Smyth:
Time based patterns in mobile-internet surfing. CHI 2006: 31-34 - [c129]Oisín Boydell
, Barry Smyth:
Capturing community search expertise for personalized web search using snippet-indexes. CIKM 2006: 277-286 - [c128]Sarah Jane Delany, Padraig Cunningham, Barry Smyth:
ECUE: A Spam Filter that Uses Machine Leaming to Track Concept Drift. ECAI 2006: 627- - [c127]Oisín Boydell
, Barry Smyth:
Title and Snippet Based Result Re-ranking in Collaborative Web Search. ECIR 2006: 484-487 - [c126]Pauline Walsh, Lucy E. Dunne, Brian Caulfield, Barry Smyth:
Marker-Based Monitoring of Seated Spinal Posture Using a Calibrated Single-Variable Threshold Model. EMBC 2006: 5370-5373 - [c125]Lorcan Coyle, Evelyn Balfe, Graeme Stevenson, Steve Neely, Simon Dobson, Paddy Nixon, Barry Smyth:
Supplementing Case-based Recommenders with Context Data. CACOA 2006 - [c124]Kevin McCarthy, Lorraine McGinty, Barry Smyth, Maria Salamó:
The Needs of the Many: A Case-Based Group Recommender System. ECCBR 2006: 196-210 - [c123]Jill Freyne, Barry Smyth:
Further Experiments in Case-Based Collaborative Web Search. ECCBR 2006: 256-270 - [c122]Maurice Coyle, Barry Smyth:
On the Use of Selective Ensembles for Relevance Classification in Case-Based Web Search. ECCBR 2006: 370-384 - [c121]Barry Smyth:
Personalizing Web Search: Communities and Collaboration. FLAIRS 2006: 20-24 - [c120]Kevin McCarthy, Maria Salamó, Lorcan Coyle, Lorraine McGinty, Barry Smyth, Paddy Nixon:
CATS: A Synchronous Approach to Collaborative Group Recommendation. FLAIRS 2006: 86-91 - [c119]John Doody, Edwin Costello, Lorraine McGinty, Barry Smyth:
Combining Visualization and Feedback for Eyewear Recommendation. FLAIRS 2006: 135-140 - [c118]Barry Smyth:
Social and personal: communities and collaboration in adaptive web search. IIiX 2006: 3-5 - [c117]Lucy E. Dunne, Pauline Walsh, Barry Smyth, Brian Caulfield:
Design and Evaluation of a Wearable Optical Sensor for Monitoring Seated Spinal Posture. ISWC 2006: 65-68 - [c116]John O'Donovan, Barry Smyth:
Is trust robust?: an analysis of trust-based recommendation. IUI 2006: 101-108 - [c115]Kevin McCarthy
, Maria Salamó
, Lorcan Coyle, Lorraine McGinty, Barry Smyth, Paddy Nixon:
Group recommender systems: a critiquing based approach. IUI 2006: 267-269 - [c114]Edwin Costello, John Doody, Lorraine McGinty, Barry Smyth:
iCARE: intelligent customer assistance for recommending eyewear. IUI 2006: 282-284 - [c113]Oisín Boydell, Barry Smyth:
Community-based snippet-indexes for pseudo-anonymous personalization in web search. SIGIR 2006: 617-618 - [c112]John O'Donovan, Vesile Evrim, Barry Smyth, Dennis McLeod, Paddy Nixon:
Personalizing Trust in Online Auctions. STAIRS 2006: 72-83 - [c111]Karen Church, Barry Smyth, Mark T. Keane:
Evaluating interfaces for intelligent mobile search. W4A 2006: 69-78 - [c110]Martin Halvey, Mark T. Keane, Barry Smyth:
Temporal rules for mobile web personalization. WWW 2006: 839-840 - [c109]Maeve O'Brien, Mark T. Keane, Barry Smyth:
Predictive modeling of first-click behavior in web-search. WWW 2006: 1031-1032 - [e2]Vincent P. Wade, Helen Ashman, Barry Smyth:
Adaptive Hypermedia and Adaptive Web-Based Systems, 4th International Conference, AH 2006, Dublin, Ireland, June 21-23, 2006, Proceedings. Lecture Notes in Computer Science 4018, Springer 2006, ISBN 3-540-34696-1 [contents] - 2005
- [j30]James Reilly, Kevin McCarthy
, Lorraine McGinty, Barry Smyth:
Explaining Compound Critiques. Artif. Intell. Rev. 24(2): 199-220 (2005) - [j29]Rachael Rafter, Barry Smyth:
Conversational Collaborative Recommendation - An Experimental Analysis. Artif. Intell. Rev. 24(3-4): 301-318 (2005) - [j28]Kevin McCarthy
, James Reilly, Barry Smyth, Lorraine McGinty:
Generating Diverse Compound Critiques. Artif. Intell. Rev. 24(3-4): 339-357 (2005) - [j27]Derry O'Sullivan, Barry Smyth, David C. Wilson:
Understanding Case Based Recommendation: A Similarity Knowledge Perspective. Int. J. Artif. Intell. Tools 14(1-2): 215-232 (2005) - [j26]James Reilly, Kevin McCarthy
, Lorraine McGinty, Barry Smyth:
Incremental critiquing. Knowl. Based Syst. 18(4-5): 143-151 (2005) - [j25]Ramón López de Mántaras, David McSherry, Derek G. Bridge, David B. Leake, Barry Smyth, Susan Craw
, Boi Faltings, Mary Lou Maher, Michael T. Cox, Kenneth D. Forbus, Mark T. Keane, Agnar Aamodt, Ian D. Watson:
Retrieval, reuse, revision and retention in case-based reasoning. Knowl. Eng. Rev. 20(3): 215-240 (2005) - [j24]Derek G. Bridge, Mehmet H. Göker, Lorraine McGinty, Barry Smyth:
Case-based recommender systems. Knowl. Eng. Rev. 20(3): 315-320 (2005) - [c108]Kevin McCarthy, Lorraine McGinty, Barry Smyth, James Reilly:
On the Evaluation of Dynamic Critiquing: A Large-Scale User Study. AAAI 2005: 535-540 - [c107]Roy Sterritt, Barry Smyth, Martin M. Bradle:
PACT: Personal Autonomic Computing Tools. ECBS 2005: 519-527 - [c106]Evelyn Balfe, Barry Smyth:
An Analysis of Query Similarity in Collaborative Web Search. ECIR 2005: 330-344 - [c105]Oisín Boydell, Cathal Gurrin, Alan F. Smeaton, Barry Smyth:
Manipulating the Relevance Models of Existing Search Engines. ECIR 2005: 540-542 - [c104]Maurice Coyle, Barry Smyth:
Enhancing Web Search Result Lists Using Interaction Histories. ECIR 2005: 543-545 - [c103]Karen Church, Mark T. Keane, Barry Smyth:
An Evaluation of Gisting in Mobile Search. ECIR 2005: 546-548 - [c102]Kevin McCarthy, James Reilly, Lorraine McGinty, Barry Smyth:
An Analysis of Critique Diversity in Case-Based Recommendation. FLAIRS 2005: 123-128 - [c101]John O'Donovan, Barry Smyth:
Eliciting Trust Values from Recommendation Errors. FLAIRS 2005: 289-294 - [c100]Peter Briggs, Barry Smyth:
Implicit Feedback in Collaborative Web Search. IC-AI 2005: 742-746 - [c99]Lorraine McGinty, Denise Shanley, Barry Smyth:
Using Recommendation Summaries for Retrieval in Conversational Recommenders. IC-AI 2005: 802-808 - [c98]Barry Smyth, Kevin McCarthy, James Reilly, Derry O'Sullivan, Lorraine McGinty, David C. Wilson:
Case Studies in Association Rule Mining for Recommender Systems. IC-AI 2005: 809-815 - [c97]Evelyn Balfe, Barry Smyth:
A Comparative Analysis of Query Similarity Metrics for Community-Based Web Search. ICCBR 2005: 63-77 - [c96]Kevin McCarthy, Lorraine McGinty, Barry Smyth, James Reilly:
A Live-User Evaluation of Incremental Dynamic Critiquing. ICCBR 2005: 339-352 - [c95]James Reilly, Barry Smyth, Lorraine McGinty, Kevin McCarthy:
Critiquing with Confidence. ICCBR 2005: 436-450 - [c94]Barry Smyth, Evelyn Balfe, Oisín Boydell, Keith Bradley, Peter Briggs, Maurice Coyle, Jill Freyne:
A Live-User Evaluation of Collaborative Web Search. IJCAI 2005: 1419-1424 - [c93]Maurice Coyle, Barry Smyth:
Explaining Search Results. IJCAI 2005: 1553-1555 - [c92]Oisín Boydell, Barry Smyth, Cathal Gurrin, Alan F. Smeaton:
A Study of Selection Noise in Collaborative Web Search. IJCAI 2005: 1595-1597 - [c91]John O'Donovan, Barry Smyth:
Trust No One: Evaluating Trust-based Filtering for Recommenders. IJCAI 2005: 1663-1665 - [c90]Karen Church, Mark T. Keane, Barry Smyth:
Towards More Intelligent Mobile Search. IJCAI 2005: 1675-1676 - [c89]Sarah Brady, Lucy E. Dunne, Richard Tynan, Dermot Diamond
, Barry Smyth, Gregory M. P. O'Hare
:
Garment-Based Monitoring of Respiration Rate Using a Foam Pressure Sensor. ISWC 2005: 214-215 - [c88]Barry Smyth:
Adaptive information access and the quest for the personalization-privacy sweetspot. IUI 2005: 2 - [c87]John O'Donovan, Barry Smyth:
Trust in recommender systems. IUI 2005: 167-174 - [c86]Kevin McCarthy
, James Reilly, Lorraine McGinty, Barry Smyth:
Experiments in dynamic critiquing. IUI 2005: 175-182 - [c85]Martin Halvey, Mark T. Keane, Barry Smyth:
Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files. MLDM 2005: 174-183 - [c84]Maria Salamó, James Reilly, Lorraine McGinty, Barry Smyth:
Knowledge Discovery from User Preferences in Conversational Recommendation. PKDD 2005: 228-239 - [c83]Oisín Boydell
, Barry Smyth, Cathal Gurrin
, Alan F. Smeaton
:
Evaluating the impact of selection noise in community-based web search. SIGIR 2005: 591-592 - [c82]Martin Halvey, Mark T. Keane, Barry Smyth:
Time Based Segmentation of Log Data for User Navigation Prediction in Personalization. Web Intelligence 2005: 636-640 - [c81]Martin Halvey, Mark T. Keane, Barry Smyth:
Predicting navigation patterns on the mobile-internet using time of the week. WWW (Special interest tracks and posters) 2005: 958-959 - 2004
- [j23]Jill Freyne, Barry Smyth, Maurice Coyle, Evelyn Balfe, Peter Briggs:
Further Experiments on Collaborative Ranking in Community-Based Web Search. Artif. Intell. Rev. 21(3-4): 229-252 (2004) - [j22]Derry O'Sullivan, Barry Smyth, David C. Wilson:
Preserving recommender accuracy and diversity in sparse datasets. Int. J. Artif. Intell. Tools 13(1): 219-235 (2004) - [j21]Derry O'Sullivan, Barry Smyth, David C. Wilson, Kieran McDonald, Alan F. Smeaton
:
Improving the Quality of the Personalized Electronic Program Guide. User Model. User Adapt. Interact. 14(1): 5-36 (2004) - [j20]Barry Smyth, Evelyn Balfe, Jill Freyne, Peter Briggs, Maurice Coyle, Oisín Boydell
:
Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine. User Model. User Adapt. Interact. 14(5): 383-423 (2004) - [c80]Jill Freyne, Barry Smyth:
An Experiment in Social Search. AH 2004: 95-103 - [c79]Kevin McCarthy, James Reilly, Lorraine McGinty, Barry Smyth:
On the Dynamic Generation of Compound Critiques in Conversational Recommender Systems. AH 2004: 176-184 - [c78]Maurice Coyle, Barry Smyth:
SearchGuide: Beyond the Results Page. AH 2004: 296-299 - [c77]Peter Briggs, Barry Smyth:
On the Use of Collaborative Filtering Techniques for the Prediction of Web Search Result Rank. AH 2004: 380-383 - [c76]Evelyn Balfe, Barry Smyth:
Improving Web Search through Collaborative Query Recommendation. ECAI 2004: 268-272 - [c75]Maurice Coyle, Barry Smyth:
Different Strokes for Different Folks: An Analysis of Similarity and Diversity in Web Search. ECAI 2004: 981-982 - [c74]Evelyn Balfe, Barry Smyth:
Case-Based Collaborative Web Search. ECCBR 2004: 489-503 - [c73]Keith Bradley, Barry Smyth:
An Architecture for Case-Based Personalised Search. ECCBR 2004: 518-532 - [c72]Derry O'Sullivan, Barry Smyth, David C. Wilson:
Analysing Similarity Essence for Case Based Recommendation. ECCBR 2004: 717-731 - [c71]James Reilly, Kevin McCarthy, Lorraine McGinty, Barry Smyth:
Dynamic Critiquing. ECCBR 2004: 763-777 - [c70]Derry O'Sullivan, Barry Smyth, David C. Wilson:
In-Depth Analysis of Similarity Knowledge and Metric Contributions to Recommender Performance. FLAIRS 2004: 184-189 - [c69]Jill Freyne, Barry Smyth:
Query-Based Indexing in Collaorative Search. ICWI 2004: 461-468 - [c68]Maurice Coyle, Barry Smyth:
On the Importance of Being Diverse: Analysing Similarity and Diversity in Web Search. Intelligent Information Processing 2004: 341-350 - [c67]Alan F. Smeaton, Cathal Gurrin, Hyowon Lee, Kieran McDonald, Noel Murphy, Noel E. O'Connor, David Wilson, Derry O'Sullivan, Barry Smyth:
The Físchlár-News-Stories System: Personalised Access to an Archive of TV News. RIAO 2004: 3-17 - [c66]James Reilly, Kevin McCarthy, Lorraine McGinty, Barry Smyth:
Incremental Critiquing. SGAI Conf. 2004: 101-114 - [c65]Jill Freyne, Barry Smyth:
Collaborative Search: Deployment Experiences. SGAI Conf. (Applications) 2004: 121-134 - [c64]Stephen Blott, Fabrice Camous, Paul Ferguson, Georgina Gaughan, Cathal Gurrin, Gareth J. F. Jones, Noel Murphy, Noel E. O'Connor, Alan F. Smeaton, Peter Wilkins, Oisín Boydell, Barry Smyth:
Experiments in Terabyte Searching, Genomic Retrieval and Novelty Detection for TREC 2004. TREC 2004 - [c63]Barry Smyth, Lorraine McGinty, James Reilly, Kevin McCarthy
:
Compound Critiques for Conversational Recommender Systems. Web Intelligence 2004: 145-151 - [c62]Evelyn Balfe, Barry Smyth:
Query Mining for Community Based Web Search. Web Intelligence 2004: 594-598 - [p4]Barry Smyth, Paul Cotter:
Case-Studies on the Evolution of the Personalized Electronic Program Guide. Personalized Digital Television 2004: 53-71 - [p3]Derry O'Sullivan, Barry Smyth, David Wilson, Kieran McDonald, Alan F. Smeaton:
Interactive Television Personalization. Personalized Digital Television 2004: 73-91 - [p2]Barry Smyth, Paul Cotter:
MP3 - Mobile Portals, Profiles and Personalization. Web Dynamics 2004: 411-434 - 2003
- [j19]David C. Wilson, Barry Smyth, Derry O'Sullivan:
Sparsity Reduction in Collaborative Recommendation: A Case-Based Approach. Int. J. Pattern Recognit. Artif. Intell. 17(5): 863-884 (2003) - [j18]Keith Bradley, Barry Smyth:
Personalized information ordering: a case study in online recruitment. Knowl. Based Syst. 16(5-6): 269-275 (2003) - [c61]Derry O'Sullivan, David C. Wilson, Barry Smyth:
Preserving Recommender Accuracy and Diversity in Sparse Datasets. FLAIRS 2003: 139-143 - [c60]Lorraine McGinty, Barry Smyth:
On the Role of Diversity in Conversational Recommender Systems. ICCBR 2003: 276-290 - [c59]Lorraine McGinty, Barry Smyth:
Improving the Performance of Recommender Systems That Use Critiquing. ITWP 2003: 114-132 - [c58]Barry Smyth, Lorraine McGinty:
The Power of Suggestion. IJCAI 2003: 127-132 - [c57]Barry Smyth, Kevin McCarthy
, James Reilly:
Mobile Portal Personalization: Tools and Techniques. ITWP 2003: 255-271 - [c56]Derry O'Sullivan, Barry Smyth, David C. Wilson:
Explicit vs Implicit Profiling - A Case-Study in Electronic Programme Guides. IJCAI 2003: 1351- - [c55]Barry Smyth, Evelyn Balfe, Peter Briggs, Maurice Coyle, Jill Freyne:
Collaborative Web Search. IJCAI 2003: 1417-1419 - [c54]Rachael Rafter, Barry Smyth:
Item Selection Strategies for Collaborative Filtering. IJCAI 2003: 1437-1439 - [c53]Barry Smyth:
Intelligent Navigation on the Mobile Internet. KES 2003: 17-18 - [c52]Barry Smyth, Jill Freyne, Maurice Coyle, Peter Briggs, Evelyn Balfe:
I-SPY - Anonymous, Community-Based Personalization by Collaborative Meta-Search. SGAI Conf. 2003: 367-380 - 2002
- [j17]Barry Smyth, Keith Bradley, Rachael Rafter:
Personalization techniques for online recruitment services. Commun. ACM 45(5): 39-40 (2002) - [c51]Barry Smyth, Paul Cotter:
The Plight of the Navigator: Solving the Navigation Problem for Wireless Portals. AH 2002: 328-337 - [c50]J. P. McGowan, Nicholas Kushmerick, Barry Smyth:
Who Do You Want to Be Today? Web Personae for Personalised Information Access. AH 2002: 514-517 - [c49]Barry Smyth, David C. Wilson, Derry O'Sullivan:
Data Mining Support for Case-Based Collaborative Recommendation. AICS 2002: 111-118 - [c48]Lorraine McGinty, Barry Smyth:
Evaluating Preference-Based Feedback in Recommender Systems. AICS 2002: 209-214 - [c47]Barry Smyth, Paul Cotter:
Personalized Adaptive Navigation for Mobile Portals. ECAI 2002: 608-612 - [c46]Aidan Finn, Nicholas Kushmerick, Barry Smyth:
Genre Classification and Domain Transfer for Information Filtering. ECIR 2002: 353-362 - [c45]Keith Bradley, Barry Smyth:
Information Ordering vs Information Filtering. ECCBR Workshops 2002: 13-14 - [c44]Lorraine McGinty, Barry Smyth:
Preference-Based Feedback for Recommendation. ECCBR Workshops 2002: 24-25 - [c43]Barry Smyth:
Personalizing Navigation Structures in a Mobile Portal. ECCBR Workshops 2002: 29-30 - [c42]Derry O'Sullivan, David C. Wilson, Barry Smyth:
Improving Case-Based Recommendation: A Collaborative Filtering Approach. ECCBR 2002: 278-291 - [c41]Lorraine McGinty, Barry Smyth:
Comparison-Based Recommendation. ECCBR 2002: 575-589 - [c40]Lorraine McGinty, Barry Smyth:
Shared Experiences in Personalized Route Planning. FLAIRS 2002: 111-115 - [c39]Derry O'Sullivan, David C. Wilson, Barry Smyth:
Using Collaborative Filtering Data in Case-Based Recommendation. FLAIRS 2002: 121-125 - 2001
- [j16]Barry Smyth, Elizabeth McKenna, Maria Angela Ferrario:
ECAI 2000. AI Commun. 14(2): 111-114 (2001) - [j15]Barry Smyth, Paul Cotter:
Personalized Electronic Program Guides for Digital TV. AI Mag. 22(2): 89-98 (2001) - [j14]Elizabeth McKenna, Barry Smyth:
An Interactive Visualisation Tool for Case-Based Reasoners. Appl. Intell. 14(1): 95-114 (2001) - [j13]David B. Leake, Barry Smyth, David C. Wilson, Qiang Yang:
Introduction to the Special Issue on Maintaining Case-Based Reasoning Systems. Comput. Intell. 17(2): 193-195 (2001) - [j12]Barry Smyth, Elizabeth McKenna:
Competence Models and the Maintenance Problem. Comput. Intell. 17(2): 235-249 (2001) - [j11]Maria Angela Ferrario
, Barry Smyth:
Distributing Case-Base Maintenance: The Collaborative Maintenance Approach. Comput. Intell. 17(2): 315-330 (2001) - [j10]Barry Smyth, Elizabeth McKenna:
Competence guided incremental footprint-based retrieval. Knowl. Based Syst. 14(3-4): 155-161 (2001) - [j9]Mehmet H. Göker, Barry Smyth:
Delivering Personalized Information: What You Get Is What You Want. Künstliche Intell. 15(1): 17-21 (2001) - [j8]Padraig Cunningham, Ralph Bergmann, Sascha Schmitt, Ralph Traphöner, Sean Breen, Barry Smyth:
WEBSELL: Intelligent Sales Assistants for the World Wide Web. Künstliche Intell. 15(1): 28-32 (2001) - [j7]Paul Cotter, Barry Smyth:
Personalised Electronic Programmes Guides - Enabling Technologies for Digital TV. Künstliche Intell. 15(1): 37-40 (2001) - [j6]Barry Smyth, Mark T. Keane, Padraig Cunningham
:
Hierarchical Case-Based Reasoning Integrating Case-Based and Decompositional Problem-Solving Techniques for Plant-Control Software Design. IEEE Trans. Knowl. Data Eng. 13(5): 793-812 (2001) - [c38]Aidan Finn, Nicholas Kushmerick, Barry Smyth:
Fact or Fiction: Content Classification for Digital Libraries. DELOS 2001 - [c37]Clodagh Moriarty, Nicholas Kushmerick, Barry Smyth:
Personalised Intelligent Tutoring for Digital Libraries. DELOS 2001 - [c36]Barry Smyth:
Adventures in Personalization (Keynote Speech). DELOS 2001 - [c35]Conor Hayes, Padraig Cunningham
, Barry Smyth:
A Case-Based Reasoning View of Automated Collaborative Filtering. ICCBR 2001: 234-248 - [c34]Barry Smyth, Paul McClave:
Similarity vs. Diversity. ICCBR 2001: 347-361 - [c33]Lorraine McGinty, Barry Smyth:
Collaborative Case-Based Reasoning: Applications in Personalised Route Planning. ICCBR 2001: 362-376 - [p1]Mark T. Keane, Barry Smyth, Joseph O'Sullivan:
Dynamic similarity: a processing perspective on similarity. Similarity and Categorization 2001 - 2000
- [j5]Barry Smyth, Paul Cotter:
Enabling technologies: a personalized television listings service. Commun. ACM 43(8): 107-111 (2000) - [j4]Barry Smyth, Paul Cotter:
A personalised TV listings service for the digital TV age. Knowl. Based Syst. 13(2-3): 53-59 (2000) - [c32]Paul Cotter, Barry Smyth:
PTV: Intelligent Personalised TV Guides. AAAI/IAAI 2000: 957-964 - [c31]Keith Bradley, Rachael Rafter, Barry Smyth:
Case-Based User Profiling for Content Personalisation. AH 2000: 62-72 - [c30]Paul Cotter, Barry Smyth:
WAP ing the Web: Content Personalisation for WAP-Enabled Devices. AH 2000: 98-108 - [c29]Maria Angela Ferrario, Keith Waters, Barry Smyth:
Collaborative Maintenance in ULYSSES. AH 2000: 301-304 - [c28]Rachael Rafter, Keith Bradley, Barry Smyth:
Automated Collaborative Filtering Applications for Online Recruitment Services. AH 2000: 363-368 - [c27]Elizabeth McKenna, Barry Smyth:
Competence-guided Editing Methods for Lazy Learning. ECAI 2000: 60-64 - [c26]Barry Smyth, Mark Mullins, Elizabeth McKenna:
Picture Perfect: Visualisation Techniques for Case-based Reasoning. ECAI 2000: 65-72 - [c25]Paul Cotter, Barry Smyth:
Personalisation Technologies for the Digital TV World. ECAI 2000: 701-705 - [c24]Barry Smyth, Elizabeth McKenna:
An Efficient and Effective Procedure for Updating a Competence Model for Case-Based Reasoners. ECML 2000: 357-368 - [c23]Barry Smyth:
Competence Model and Their Applications. EWCBR 2000: 1-2 - [c22]Elizabeth McKenna, Barry Smyth:
Competence-Guided Case-Base Editing Techniques. EWCBR 2000: 186-197 - [c21]Maria Angela Ferrario, Barry Smyth:
Collaborative Maintenance - A Distributed, Interactive Case-Base Maintenance Strategy. EWCBR 2000: 393-405 - [c20]Lorraine McGinty, Barry Smyth:
Personalized Route Planning: A Case-Based Approach. EWCBR 2000: 431-442 - [c19]Cara O'Boyle, Barry Smyth, Franz Geiselbrechtinger:
An Automatic Configuration System for Handwriting Recognition Problems. IEA/AIE 2000: 512-521 - [c18]Lorraine McGinty, Barry Smyth:
TURAS: A Personalised Route Planning System. PRICAI 2000: 791
1990 – 1999
- 1999
- [c17]Barry Smyth, Elizabeth McKenna:
Building Compact Competent Case-Bases. ICCBR 1999: 329-342 - [c16]Barry Smyth, Elizabeth McKenna:
Footprint-Based Retrieval. ICCBR 1999: 343-357 - [c15]Barry Smyth, Paul Cotter:
Surfing the Digital Wave. ICCBR 1999: 561-571 - 1998
- [j3]Barry Smyth, Mark T. Keane:
Adaptation-Guided Retrieval: Questioning the Similarity Assumption in Reasoning. Artif. Intell. 102(2): 249-293 (1998) - [j2]Padraig Cunningham
, Barry Smyth, Andrea Bonzano:
An incremental retrieval mechanism for case-based electronic fault diagnosis. Knowl. Based Syst. 11(3-4): 239-248 (1998) - [c14]Barry Smyth, Elizabeth McKenna:
Modelling the Competence of Case-Bases. EWCBR 1998: 208-220 - [c13]Wolfgang Wilke, Barry Smyth, Padraig Cunningham
:
Using Configuration Techniques for Adaptation. Case-Based Reasoning Technology 1998: 139-168 - [c12]Barry Smyth:
Case-Base Maintenance. IEA/AIE (Vol. 2) 1998: 507-516 - [e1]Barry Smyth, Padraig Cunningham
:
Advances in Case-Based Reasoning, 4th European Workshop, EWCBR-98, Dublin, Ireland, September 1998, Proceedings. Lecture Notes in Computer Science 1488, Springer 1998, ISBN 3-540-64990-5 [contents] - 1997
- [c11]Andrea Bonzano, Padraig Cunningham
, Barry Smyth:
Learning Feature Weights for CBR: Global versus Local. AI*IA 1997: 417-426 - [c10]Andrea Bonzano, Padraig Cunningham
, Barry Smyth:
Using Introspective Learning to Improve Retrieval in CBR: A Case Study in Air Traffic Control. ICCBR 1997: 291-302 - 1996
- [j1]Barry Smyth, Mark T. Keane:
Using adaptation knowledge to retrieve and adapt design cases. Knowl. Based Syst. 9(2): 127-135 (1996) - [c9]Barry Smyth, Padraig Cunningham
:
The Utility Problem Analysed: A Case-Based Reasoning Perspective. EWCBR 1996: 392-399 - 1995
- [c8]Barry Smyth, Mark T. Keane:
Experiments On Adaptation-Guided Retrieval In Case-Based Design. ICCBR 1995: 313-324 - [c7]Padraig Cunningham
, Barry Smyth, Neil J. Hurley:
On the use of CBR in optimisation problems such as the TSP. ICCBR 1995: 401-410 - [c6]Kathleen Hanney, Mark T. Keane, Barry Smyth, Padraig Cunningham
:
Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies. ICCBR 1995: 461-470 - [c5]Barry Smyth, Mark T. Keane:
Remembering To Forget: A Competence-Preserving Case Deletion Policy for Case-Based Reasoning Systems. IJCAI 1995: 377-383 - 1994
- [c4]Padraig Cunningham
, Barry Smyth, Tony Veale
:
On the Limitations of Memory Based Reasoning. EWCBR 1994: 75-86 - [c3]Barry Smyth, Padraig Cunningham
:
A Comparison of Incremental Case-Based Reasoning and Inductive Learning. EWCBR 1994: 151-164 - 1993
- [c2]Barry Smyth, Mark T. Keane:
Retrieving Adaptable Cases: The Role of Adaptation Knowledge in Case Retrieval. EWCBR 1993: 209-220 - 1992
- [c1]Barry Smyth, Padraig Cunningham:
Déjà Vu: A Hierarchical Case-Based Reasoning System for Software Design. ECAI 1992: 587-589
Coauthor Index
aka: Pádraig Cunningham
aka: Neil Hurley
aka: Khalil Ibrahim Muhammad
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