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ORCIDVito Walter Anelli
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- affiliation: Politecnico di Bari, Italy
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2020 – today
- 2024
[c73]Markus Schedl
, Vito Walter Anelli, Elisabeth Lex:
Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives. UMAP (Adjunct Publication) 2024- 2023
- [j10]Shoujin Wang, Yan Wang, Fikret Sivrikaya, Sahin Albayrak, Vito Walter Anelli:
Data science for next-generation recommender systems. Int. J. Data Sci. Anal. 16(2): 135-145 (2023) - [j9]Giandomenico Cornacchia, Vito Walter Anelli, Giovanni Maria Biancofiore, Fedelucio Narducci, Claudio Pomo, Azzurra Ragone, Eugenio Di Sciascio:
Auditing fairness under unawareness through counterfactual reasoning. Inf. Process. Manag. 60(2): 103224 (2023) - [j8]Antonio Ferrara, Vito Walter Anelli, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio:
KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs. Trans. Recomm. Syst. 1(4): 1-30 (2023) - [c72]Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia:
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CIKM 2023: 2013-2023 - [c71]Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio:
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness Under Unawareness Setting. ECAI 2023: 477-484 - [c70]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo:
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering. ECIR (1) 2023: 33-48 - [c69]Potito Aghilar, Vito Walter Anelli, Michelantonio Trizio, Tommaso Di Noia:
Scalable Cloud-Native Pipeline for Efficient 3D Model Reconstruction from Monocular Smartphone Images. ECSA 2023: 266-282 - [c68]Dario Di Palma, Vito Walter Anelli, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo, Yashar Deldjoo, Tommaso Di Noia:
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective. IIR 2023: 79-84 - [c67]Vito Walter Anelli, Eros Brienza, Marco Recupero, Francesco Greco, Andrea De Maria, Tommaso Di Noia, Eugenio Di Sciascio:
Navigating the Legal Landscape: Developing Italy's Official Legal Knowledge Graph for Enhanced Legislative and Public Services. Ital-IA 2023: 223-228 - [c66]Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio:
Counterfactual Reasoning for Responsible AI Assessment. Ital-IA 2023: 347-352 - [c65]Vincenzo Paparella, Alberto Carlo Maria Mancino, Antonio Ferrara, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia:
Knowledge Graph Datasets for Recommendation. KaRS@RecSys 2023: 109-117 - [c64]Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogín, Eugenio Di Sciascio, Tommaso Di Noia:
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. RecSys 2023: 350-361 - [c63]Vincenzo Paparella, Vito Walter Anelli, Ludovico Boratto, Tommaso Di Noia:
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives. RecSys 2023: 467-478 - [c62]Vincenzo Paparella, Dario Di Palma, Vito Walter Anelli, Tommaso Di Noia:
Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy. RecSys 2023: 1139-1145 - [c61]Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco M. Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys 2023: 1259-1262 - [c60]Markus Schedl, Vito Walter Anelli, Elisabeth Lex:
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives. RecSys 2023: 1288-1290 - [c59]Alessandro De Bellis, Giovanni Maria Biancofiore, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Semantic Interpretation of BERT Embeddings with Knowledge Graphs. SEBD 2023: 181-191 - [c58]Felice Antonio Merra, Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Alberto Carlo Maria Mancino:
Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries. SIGIR 2023: 1924-1928 - [c57]Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia, Antonio Ferrara:
An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework. UMAP (Adjunct Publication) 2023: 12-15 - [c56]Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio:
Counterfactual Reasoning for Decision Model Fairness Assessment. WWW (Companion Volume) 2023: 229-233 - [e6]Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. CEUR Workshop Proceedings 3560, CEUR-WS.org 2023 [contents] - [i26]Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio:
Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning. CoRR abs/2302.08158 (2023) - [i25]Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio:
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness setting. CoRR abs/2302.08204 (2023) - [i24]Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia:
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CoRR abs/2306.12165 (2023) - [i23]Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogín, Tommaso Di Noia, Eugenio Di Sciascio:
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. CoRR abs/2308.00404 (2023) - [i22]Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Alberto Carlo Maria Mancino, Eugenio Di Sciascio, Tommaso Di Noia:
A Topology-aware Analysis of Graph Collaborative Filtering. CoRR abs/2308.10778 (2023) - [i21]Dario Di Palma, Giovanni Maria Biancofiore, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio:
Evaluating ChatGPT as a Recommender System: A Rigorous Approach. CoRR abs/2309.03613 (2023) - 2022
- [j7]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
User-controlled federated matrix factorization for recommender systems. J. Intell. Inf. Syst. 58(2): 287-309 (2022) - [j6]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta:
Semantic Interpretation of Top-N Recommendations. IEEE Trans. Knowl. Data Eng. 34(5): 2416-2428 (2022) - [c55]Vito Walter Anelli, Giovanni Maria Biancofiore, Alessandro De Bellis, Tommaso Di Noia, Eugenio Di Sciascio:
Interpretability of BERT Latent Space through Knowledge Graphs. CIKM 2022: 3806-3810 - [c54]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo:
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews. DL4SR@CIKM 2022 - [c53]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo:
An Analysis of Local Explanation with LIME-RS. IIR 2022 - [c52]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino:
Addressing Privacy in Recommender Systems with Federated Learning. IIR 2022 - [c51]Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys 2022: 663-666 - [c50]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo:
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering. MORS@RecSys 2022 - [c49]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino:
Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs. SEBD 2022: 505-513 - [c48]Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Eugenio Di Sciascio, Tommaso Di Noia:
The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models. SEBD 2022: 514-521 - [c47]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo:
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. UMAP 2022: 121-131 - [e5]Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, September 22nd, 2022. CEUR Workshop Proceedings 3294, CEUR-WS.org 2022 [contents] - [r1]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Adversarial Recommender Systems: Attack, Defense, and Advances. Recommender Systems Handbook 2022: 335-379 - [i20]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo:
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. CoRR abs/2203.01155 (2022) - 2021
- [j5]Vito Walter Anelli, Pierpaolo Basile, Toine Bogers, Tommaso Di Noia, Francesco Maria Donini, Bamshad Mobasher, Cataldo Musto, Fedelucio Narducci, Casper Petersen, Maria Soledad Pera, Markus Zanker:
Report on the 3rd workshop of knowledge-aware and conversational recommender systems (KARS/ComplexRec) at RecSys 2021. SIGIR Forum 55(2): 17:1-17:9 (2021) - [j4]Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia:
A flexible framework for evaluating user and item fairness in recommender systems. User Model. User Adapt. Interact. 31(3): 457-511 (2021) - [c46]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders. CIKM 2021: 2852-2856 - [c45]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
FedeRank: User Controlled Feedback with Federated Recommender Systems. ECIR (1) 2021: 32-47 - [c44]Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. FLAIRS 2021 - [c43]Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Eugenio Di Sciascio, Tommaso Di Noia:
How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation. IIR 2021 - [c42]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino:
Sparse Embeddings for Recommender Systems with Knowledge Graphs. IIR 2021 - [c41]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo:
Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper). KaRS/ComplexRec@RecSys 2021 - [c40]Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi:
The 2021 RecSys Challenge Dataset: Fairness is not optional. RecSys Challenge 2021: 1-6 - [c39]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Daniele Malitesta, Felice Antonio Merra:
Adversarial Attacks against Visual Recommendation: an Investigation on the Influence of Items' Popularity. OHARS@RecSys 2021: 33-44 - [c38]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino:
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs. RecSys 2021: 154-165 - [c37]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo:
Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization. RecSys 2021: 521-529 - [c36]Vito Walter Anelli, Tommaso Di Noia, Felice Antonio Merra:
The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning. RecSys 2021: 730-735 - [c35]Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia:
V-Elliot: Design, Evaluate and Tune Visual Recommender Systems. RecSys 2021: 768-771 - [c34]Vito Walter Anelli, Pierpaolo Basile, Tommaso Di Noia, Francesco M. Donini, Cataldo Musto, Fedelucio Narducci, Markus Zanker:
Third Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys 2021: 806-809 - [c33]Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Jonathan Hunt, Michael M. Bronstein, Wenzhe Shi:
RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline. RecSys 2021: 819-824 - [c32]Vito Walter Anelli, Luca Belli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci, Claudio Pomo:
Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications. RecSys 2021: 838-841 - [c31]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
How to put users in control of their data in federated top-N recommendation with learning to rank. SAC 2021: 1359-1362 - [c30]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
Federated Recommender Systems with Learning to Rank. SEBD 2021: 71-82 - [c29]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images. SIGIR 2021: 1094-1103 - [c28]Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia:
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. SIGIR 2021: 2405-2414 - [e4]Vito Walter Anelli, Tommaso Di Noia, Nicola Ferro, Fedelucio Narducci:
Proceedings of the 11th Italian Information Retrieval Workshop 2021, Bari, Italy, September 13-15, 2021. CEUR Workshop Proceedings 2947, CEUR-WS.org 2021 [contents] - [e3]Vito Walter Anelli, Pierpaolo Basile, Tommaso Di Noia, Francesco Maria Donini, Cataldo Musto, Fedelucio Narducci, Markus Zanker, Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Pera:
Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Virtual Event, Amsterdam, The Netherlands, September 25, 2021. CEUR Workshop Proceedings 2960, CEUR-WS.org 2021 [contents] - [i19]Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Tommaso Di Noia:
Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. CoRR abs/2103.02590 (2021) - [i18]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo:
Reenvisioning Collaborative Filtering vs Matrix Factorization. CoRR abs/2107.13472 (2021) - [i17]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality. CoRR abs/2107.13876 (2021) - [i16]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino:
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs. CoRR abs/2107.14290 (2021) - [i15]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo:
Adherence and Constancy in LIME-RS Explanations for Recommendation. CoRR abs/2109.00818 (2021) - [i14]Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi:
The 2021 RecSys Challenge Dataset: Fairness is not optional. CoRR abs/2109.08245 (2021) - 2020
- [j3]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara:
Prioritized multi-criteria federated learning. Intelligenza Artificiale 14(2): 183-200 (2020) - [j2]Vito Walter Anelli, Renato De Leone, Tommaso Di Noia, Thomas Lukasiewicz, Jessica Rosati:
Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting. Semantic Web 11(3): 391-419 (2020) - [c27]Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
Assessing Perceptual and Recommendation Mutation of Adversarially-Poisoned Visual Recommenders (short paper). DP@AI*IA 2020: 49-56 - [c26]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta:
Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario. EAIS 2020: 1-8 - [c25]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra:
SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs. ESWC 2020: 307-323 - [c24]Vito Walter Anelli, Amra Delic, Gabriele Sottocornola, Jessie Smith, Nazareno Andrade, Luca Belli, Michael M. Bronstein, Akshay Gupta, Sofia Ira Ktena, Alexandre Lung-Yut-Fong, Frank Portman, Alykhan Tejani, Yuanpu Xie, Xiao Zhu, Wenzhe Shi:
RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline. RecSys 2020: 623-627 - [c23]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code. RecSys 2020: 738-741 - [c22]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra, Giuseppe Acciani, Eugenio Di Sciascio:
Knowledge-enhanced Shilling Attacks for Recommendation. SEBD 2020: 310-317 - [p1]Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio:
Knowledge-Aware Interpretable Recommender Systems. Knowledge Graphs for eXplainable Artificial Intelligence 2020: 101-124 - [e2]Vito Walter Anelli, Tommaso Di Noia:
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, co-located with 28th ACM International Conference on Information and Knowledge Management, KaRS@CIKM 2019, Beijing, China, November 7, 2019. CEUR Workshop Proceedings 2601, CEUR-WS.org 2020 [contents] - [i13]Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fong, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael M. Bronstein, Amra Delic, Gabriele Sottocornola, Vito Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi:
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline. CoRR abs/2004.13715 (2020) - [i12]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara:
Prioritized Multi-Criteria Federated Learning. CoRR abs/2007.08893 (2020) - [i11]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
How to Put Users in Control of their Data via Federated Pair-Wise Recommendation. CoRR abs/2008.07192 (2020) - [i10]Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders. CoRR abs/2010.00984 (2020) - [i9]Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. CoRR abs/2010.01329 (2020) - [i8]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
FedeRank: User Controlled Feedback with Federated Recommender Systems. CoRR abs/2012.11328 (2020)
2010 – 2019
- 2019
- [j1]Ignacio Fernández-Tobías, Iván Cantador, Paolo Tomeo, Vito Walter Anelli, Tommaso Di Noia:
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization. User Model. User Adapt. Interact. 29(2): 443-486 (2019) - [c21]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara:
Towards Effective Device-Aware Federated Learning. AI*IA 2019: 477-491 - [c20]Vito Walter Anelli, Tommaso Di Noia:
2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRS. CIKM 2019: 3001-3002 - [c19]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta:
Local Popularity and Time in top-N Recommendation. ECIR (1) 2019: 861-868 - [c18]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Claudio Pomo:
Semantic interpretability of latent factors for recommendation. IIR 2019: 43-44 - [c17]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Claudio Pomo, Azzurra Ragone:
On the discriminative power of hyper-parameters in cross-validation and how to choose them. RecSys 2019: 447-451 - [c16]Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín Kouki, Tommaso Di Noia:
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. RMSE@RecSys 2019 - [c15]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta:
The importance of being dissimilar in recommendation. SAC 2019: 816-821 - [c14]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone:
Anna: A Virtual Assistant to Interact with Puglia Digital Library. SEBD 2019 - [c13]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta:
How to Make Latent Factors Interpretable by Feeding Factorization Machines with Knowledge Graphs. ISWC (1) 2019: 38-56 - [e1]Vito Walter Anelli, Tommaso Di Noia, Pasquale Lops, Cataldo Musto, Markus Zanker, Pierpaolo Basile, Derek G. Bridge, Fedelucio Narducci:
Proceedings of the Workshop on Knowledge-aware and Conversational Recommender Systems 2018 co-located with 12th ACM Conference on Recommender Systems, KaRS@RecSys 2018, Vancouver, Canada, October 7, 2018. CEUR Workshop Proceedings 2290, CEUR-WS.org 2019 [contents] - [i7]Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia:
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. CoRR abs/1908.06708 (2019) - [i6]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara:
Towards Effective Device-Aware Federated Learning. CoRR abs/1908.07420 (2019) - [i5]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Claudio Pomo, Azzurra Ragone:
On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them. CoRR abs/1909.02523 (2019) - [i4]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta:
How to make latent factors interpretable by feeding Factorization machines with knowledge graphs. CoRR abs/1909.05038 (2019) - 2018
- [c12]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Pasquale Lops, Joseph Trotta:
Moving from Item Rating to Features Relevance in Top-N Recommendation. IIR 2018 - [c11]Vito Walter Anelli, Pierpaolo Basile, Derek G. Bridge, Tommaso Di Noia, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Markus Zanker:
Knowledge-aware and conversational recommender systems. RecSys 2018: 521-522 - [c10]Vito Walter Anelli, Tommaso Di Noia, Andrea Maurino, Matteo Palmonari, Anisa Rula:
Ontology-based Linked Data Summarization in Semantics-aware Recommender Systems. SEBD 2018 - [i3]Vito Walter Anelli, Joseph Trotta, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone:
Time and Local Popularity in top-N Recommendation. CoRR abs/1807.04204 (2018) - [i2]Vito Walter Anelli, Joseph Trotta, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone:
The importance of being dissimilar in Recommendation. CoRR abs/1807.04207 (2018) - 2017
- [c9]Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Wanda La Bruna, Paolo Tomeo, Eugenio Di Sciascio:
On the Role of Time and Sessions in Diversifying Recommendation Results. IIR 2017: 92-96 - [c8]Vito Walter Anelli, Tommaso Di Noia, Pasquale Lops, Eugenio Di Sciascio:
Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance. RecSysKTL 2017: 16-21 - [c7]Vito Bellini, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio:
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios. DLRS@RecSys 2017: 60-66 - [c6]Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Wanda La Bruna, Paolo Tomeo, Eugenio Di Sciascio:
An Analysis on Time- and Session-aware Diversification in Recommender Systems. UMAP 2017: 270-274 - [c5]Vito Walter Anelli, Vito Bellini, Andrea Calì, Giuseppe De Santis, Tommaso Di Noia, Eugenio Di Sciascio:
Querying deep web data sources as linked data. WIMS 2017: 32:1-32:7 - [c4]Ester Pantaleo, Vito Walter Anelli, Tommaso Di Noia, Gilles Sérasset:
Etytree: A Graphical and Interactive Etymology Dictionary based on Wiktionary. WWW (Companion Volume) 2017: 1635-1640 - [i1]Vito Bellini, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio:
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios. CoRR abs/1706.07956 (2017) - 2016
- [c3]