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ORCIDNick Craswell
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2020 – today
- 2024
[c156]Haolun Wu
, Bhaskar Mitra, Nick Craswell:
Towards Group-aware Search Success. ICTIR 2024: 123-131- [c155]Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas, Charles L. A. Clarke, Mohammad Aliannejadi, Clemencia Siro, Guglielmo Faggioli:
LLMJudge: LLMs for Relevance Judgments. LLM4Eval@SIGIR 2024: 1-3 - [c154]Paul Thomas, Gabriella Kazai, Nick Craswell, Seth Spielman:
What Matters in a Measure? A Perspective from Large-Scale Search Evaluation. SIGIR 2024: 282-292 - [c153]Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra:
Large Language Models can Accurately Predict Searcher Preferences. SIGIR 2024: 1930-1940 - [c152]Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos:
Synthetic Test Collections for Retrieval Evaluation. SIGIR 2024: 2647-2651 - [c151]Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
LLM4Eval: Large Language Model for Evaluation in IR. SIGIR 2024: 3040-3043 - [c150]Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang:
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) 2024: 292-301 - [e3]Clemencia Siro, Mohammad Aliannejadi, Hossein A. Rahmani, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024) co-located with 10th International Conference on Online Publishing (SIGIR 2024), Washington D.C., USA, July 18, 2024. CEUR Workshop Proceedings 3752, CEUR-WS.org 2024 [contents] - [i45]Haolun Wu, Bhaskar Mitra, Nick Craswell:
Towards Group-aware Search Success. CoRR abs/2404.17313 (2024) - [i44]Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang:
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR abs/2405.07526 (2024) - [i43]Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos:
Synthetic Test Collections for Retrieval Evaluation. CoRR abs/2405.07767 (2024) - [i42]Shivani Upadhyay, Ronak Pradeep, Nandan Thakur, Nick Craswell, Jimmy Lin:
UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor. CoRR abs/2406.06519 (2024) - [i41]Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, Eric Zhang, Ryan Nguyen, Daniel Campos, Nick Craswell, Jimmy Lin:
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track. CoRR abs/2406.16828 (2024) - [i40]Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024. CoRR abs/2408.05388 (2024) - [i39]Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas, Charles L. A. Clarke, Mohammad Aliannejadi, Clemencia Siro, Guglielmo Faggioli:
LLMJudge: LLMs for Relevance Judgments. CoRR abs/2408.08896 (2024) - [i38]Hossein A. Rahmani, Xi Wang, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas:
SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval. CoRR abs/2408.16312 (2024) - [i37]Shivani Upadhyay, Ronak Pradeep, Nandan Thakur, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin:
A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look. CoRR abs/2411.08275 (2024) - [i36]Ronak Pradeep, Nandan Thakur, Shivani Upadhyay, Daniel Campos, Nick Craswell, Jimmy Lin:
Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework. CoRR abs/2411.09607 (2024) - 2023
- [b2]Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell:
Neural Approaches to Conversational Information Retrieval. The Information Retrieval Series 44, Springer 2023, ISBN 978-3-031-23079-0, pp. 1-192 - [c149]Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand:
Patterns of Gender-Specializing Query Reformulation. SIGIR 2023: 2241-2245 - [c148]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Hossein A. Rahmani, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff:
Overview of the TREC 2023 Deep Learning Track. TREC 2023 - [c147]Ali Montazeralghaem, Nick Craswell, Ryen W. White, Ahmed Hassan Awadallah, Byungki Byun:
Algorithmic Vibe in Information Retrieval. WWW 2023: 3278-3287 - [c146]Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai:
Zero-shot Clarifying Question Generation for Conversational Search. WWW 2023: 3288-3298 - [i35]Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai:
Zero-shot Clarifying Question Generation for Conversational Search. CoRR abs/2301.12660 (2023) - [i34]Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand:
Patterns of gender-specializing query reformulation. CoRR abs/2304.13129 (2023) - [i33]Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra:
Large language models can accurately predict searcher preferences. CoRR abs/2309.10621 (2023) - 2022
- [c145]Paul Thomas, Gabriella Kazai, Ryen White, Nick Craswell:
The Crowd is Made of People: Observations from Large-Scale Crowd Labelling. CHIIR 2022: 25-35 - [c144]Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell, Linjun Yang:
Less is Less: When are Snippets Insufficient for Human vs Machine Relevance Estimation? ECIR (2) 2022: 153-162 - [c143]Xinyi Yan, Chengxi Luo, Charles L. A. Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells:
Human Preferences as Dueling Bandits. SIGIR 2022: 567-577 - [c142]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. SIGIR 2022: 2939-2948 - [c141]Ellen M. Voorhees, Nick Craswell, Jimmy Lin:
Too Many Relevants: Whither Cranfield Test Collections? SIGIR 2022: 2970-2980 - [c140]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff:
Overview of the TREC 2022 Deep Learning Track. TREC 2022 - [i32]Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell:
Neural Approaches to Conversational Information Retrieval. CoRR abs/2201.05176 (2022) - [i31]Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell, Linjun Yang:
Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation? CoRR abs/2201.08721 (2022) - [i30]Xinyi Yan, Chengxi Luo, Charles L. A. Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells:
Human Preferences as Dueling Bandits. CoRR abs/2204.10362 (2022) - [i29]Sebastian Hofstätter, Nick Craswell, Bhaskar Mitra, Hamed Zamani, Allan Hanbury:
Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems. CoRR abs/2206.12993 (2022) - 2021
- [j17]Alex Okeson, Rich Caruana, Nick Craswell, Kori Inkpen, Scott M. Lundberg, Harsha Nori, Hanna M. Wallach, Jennifer Wortman Vaughan:
Summarize with Caution: Comparing Global Feature Attributions. IEEE Data Eng. Bull. 44(4): 14-27 (2021) - [j16]Damiano Spina, Johanne R. Trippas, Paul Thomas, Hideo Joho, Katriina Byström, Leigh Clark, Nick Craswell, Mary Czerwinski, David Elsweiler, Alexander Frummet, Souvick Ghosh, Johannes Kiesel, Irene Lopatovska, Daniel McDuff, Selina Meyer, Ahmed Mourad, Paul Owoicho, Sachin Pathiyan Cherumanal, Daniel Russell, Laurianne Sitbon:
Report on the future conversations workshop at CHIIR 2021. SIGIR Forum 55(1): 6:1-6:22 (2021) - [j15]Paul Thomas, Mary Czerwinski, Daniel McDuff, Nick Craswell:
Theories of Conversation for Conversational IR. ACM Trans. Inf. Syst. 39(4): 39:1-39:23 (2021) - [c139]Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswell:
Analysing Mixed Initiatives and Search Strategies during Conversational Search. CIKM 2021: 16-26 - [c138]Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury:
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. SIGIR 2021: 1349-1358 - [c137]Daniel McDuff, Paul Thomas, Nick Craswell, Kael Rowan, Mary Czerwinski:
Do Affective Cues Validate Behavioural Metrics for Search? SIGIR 2021: 1544-1553 - [c136]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. SIGIR 2021: 1566-1576 - [c135]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. SIGIR 2021: 1697-1702 - [c134]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. SIGIR 2021: 2283-2287 - [c133]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff:
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. SIGIR 2021: 2369-2375 - [c132]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
Overview of the TREC 2021 Deep Learning Track. TREC 2021 - [i28]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 deep learning track. CoRR abs/2102.07662 (2021) - [i27]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. CoRR abs/2102.12887 (2021) - [i26]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. CoRR abs/2104.09393 (2021) - [i25]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff:
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. CoRR abs/2104.09399 (2021) - [i24]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. CoRR abs/2105.04021 (2021) - [i23]Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury:
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. CoRR abs/2105.09816 (2021) - [i22]Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswell:
Analysing Mixed Initiatives and Search Strategies during Conversational Search. CoRR abs/2109.05955 (2021) - 2020
- [b1]David Hawking, Bodo Billerbeck, Paul Thomas, Nick Craswell:
Simulating Information Retrieval Test Collections. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2020, ISBN 978-3-031-01195-5 - [j14]Paul Thomas, Bodo Billerbeck, Nick Craswell, Ryen W. White:
Investigating Searchers' Mental Models to Inform Search Explanations. ACM Trans. Inf. Syst. 38(1): 10:1-10:25 (2020) - [c131]Leif Azzopardi, Ryen W. White, Paul Thomas, Nick Craswell:
Data-Driven Evaluation Metrics for Heterogeneous Search Engine Result Pages. CHIIR 2020: 213-222 - [c130]Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck:
ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search. CIKM 2020: 2983-2989 - [c129]Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, Nick Craswell:
MIMICS: A Large-Scale Data Collection for Search Clarification. CIKM 2020: 3189-3196 - [c128]Paul Thomas, Daniel McDuff, Mary Czerwinski, Nick Craswell:
Expressions of Style in Information Seeking Conversation with an Agent. SIGIR 2020: 1171-1180 - [c127]Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais:
Analyzing and Learning from User Interactions for Search Clarification. SIGIR 2020: 1181-1190 - [c126]Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury:
Local Self-Attention over Long Text for Efficient Document Retrieval. SIGIR 2020: 2021-2024 - [c125]Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. SIGIR 2020: 2101-2104 - [c124]Hamed Zamani, Nick Craswell:
Macaw: An Extensible Conversational Information Seeking Platform. SIGIR 2020: 2193-2196 - [c123]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 Deep Learning Track. TREC 2020 - [c122]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. TREC 2020 - [c121]Hamed Zamani, Susan T. Dumais, Nick Craswell, Paul N. Bennett, Gord Lueck:
Generating Clarifying Questions for Information Retrieval. WWW 2020: 418-428 - [c120]Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett:
Leading Conversational Search by Suggesting Useful Questions. WWW 2020: 1160-1170 - [i21]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees:
Overview of the TREC 2019 deep learning track. CoRR abs/2003.07820 (2020) - [i20]Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. CoRR abs/2004.13486 (2020) - [i19]Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury:
Local Self-Attention over Long Text for Efficient Document Retrieval. CoRR abs/2005.04908 (2020) - [i18]Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais:
Analyzing and Learning from User Interactions for Search Clarification. CoRR abs/2006.00166 (2020) - [i17]Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck:
ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search. CoRR abs/2006.05324 (2020) - [i16]Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, Nick Craswell:
MIMICS: A Large-Scale Data Collection for Search Clarification. CoRR abs/2006.10174 (2020) - [i15]Bodo Billerbeck, Justin Zobel, Nicholas Lester, Nick Craswell:
Scalable Methods for Calculating Term Co-Occurrence Frequencies. CoRR abs/2007.08709 (2020) - [i14]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence for Document Retrieval. CoRR abs/2007.10434 (2020) - [i13]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. CoRR abs/2011.07368 (2020)
2010 – 2019
- 2019
- [c119]Xiaolu Lu, Oren Kurland, J. Shane Culpepper, Nick Craswell, Ofri Rom:
Relevance Modeling with Multiple Query Variations. ICTIR 2019: 27-34 - [c118]Binsheng Liu, Nick Craswell, Xiaolu Lu, Oren Kurland, J. Shane Culpepper:
A Comparative Analysis of Human and Automatic Query Variants. ICTIR 2019: 47-50 - [c117]Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary:
Generic Intent Representation in Web Search. SIGIR 2019: 65-74 - [c116]Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary:
An Axiomatic Approach to Regularizing Neural Ranking Models. SIGIR 2019: 981-984 - [c115]Gabriella Kazai, Paul Thomas, Nick Craswell:
The Emotion Profile of Web Search. SIGIR 2019: 1097-1100 - [c114]Bhaskar Mitra, Nick Craswell:
DUET AT TREC 2019 DEEP LEARNING TRACK. TREC 2019 - [i12]Bhaskar Mitra, Nick Craswell:
An Updated Duet Model for Passage Re-ranking. CoRR abs/1903.07666 (2019) - [i11]Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary:
An Axiomatic Approach to Regularizing Neural Ranking Models. CoRR abs/1904.06808 (2019) - [i10]Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz:
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks. CoRR abs/1907.03693 (2019) - [i9]Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary:
Generic Intent Representation in Web Search. CoRR abs/1907.10710 (2019) - [i8]Bhaskar Mitra, Nick Craswell:
Duet at TREC 2019 Deep Learning Track. CoRR abs/1912.04471 (2019) - [i7]Hamed Zamani, Nick Craswell:
Macaw: An Extensible Conversational Information Seeking Platform. CoRR abs/1912.08904 (2019) - 2018
- [j13]Bhaskar Mitra, Nick Craswell:
An Introduction to Neural Information Retrieval. Found. Trends Inf. Retr. 13(1): 1-126 (2018) - [j12]Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra:
Neural information retrieval: introduction to the special issue. Inf. Retr. J. 21(2-3): 107-110 (2018) - [c113]Paul Thomas, Alistair Moffat, Peter Bailey, Falk Scholer, Nick Craswell:
Better Effectiveness Metrics for SERPs, Cards, and Rankings. ADCS 2018: 1:1-1:8 - [c112]Paul Thomas, Mary Czerwinski, Daniel McDuff, Nick Craswell, Gloria Mark:
Style and Alignment in Information-Seeking Conversation. CHIIR 2018: 42-51 - [c111]Manisha Verma, Emine Yilmaz, Nick Craswell:
Study of Relevance and Effort across Devices. CHIIR 2018: 309-312 - [c110]Leif Azzopardi, Paul Thomas, Nick Craswell:
Measuring the Utility of Search Engine Result Pages: An Information Foraging Based Measure. SIGIR 2018: 605-614 - [c109]Hamed Zamani, Mostafa Dehghani, Fernando Diaz, Hang Li, Nick Craswell:
SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval. SIGIR 2018: 1439-1440 - [c108]Laura Dietz, Ben Gamari, Jeff Dalton, Nick Craswell:
TREC Complex Answer Retrieval Overview. TREC 2018 - [c107]Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary:
Neural Ranking Models with Multiple Document Fields. WSDM 2018: 700-708 - [r14]Nick Craswell:
Bpref. Encyclopedia of Database Systems (2nd ed.) 2018 - [r13]Nick Craswell:
Mean Reciprocal Rank. Encyclopedia of Database Systems (2nd ed.) 2018 - [r12]Nick Craswell:
Precision at n. Encyclopedia of Database Systems (2nd ed.) 2018 - [r11]Nick Craswell:
Precision-Oriented Effectiveness Measures. Encyclopedia of Database Systems (2nd ed.) 2018 - [r10]Nick Craswell:
R-Precision. Encyclopedia of Database Systems (2nd ed.) 2018 - [r9]Nick Craswell:
Success at n. Encyclopedia of Database Systems (2nd ed.) 2018 - [r8]Nick Craswell, Stephen Robertson:
Average Precision at n. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j11]Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra:
Report on the Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17). SIGIR Forum 51(3): 152-158 (2017) - [c106]Filip Radlinski, Nick Craswell:
A Theoretical Framework for Conversational Search. CHIIR 2017: 117-126 - [c105]Kanika Narang, Susan T. Dumais, Nick Craswell, Daniel J. Liebling, Qingyao Ai:
Large-Scale Analysis of Email Search and Organizational Strategies. CHIIR 2017: 215-223 - [c104]Daniel McDuff, Paul Thomas, Mary Czerwinski, Nick Craswell:
Multimodal analysis of vocal collaborative search: a public corpus and results. ICMI 2017: 456-463 - [c103]Jin Young Kim, Nick Craswell, Susan T. Dumais, Filip Radlinski, Fang Liu:
Understanding and Modeling Success in Email Search. SIGIR 2017: 265-274 - [c102]Bhaskar Mitra, Fernando Diaz, Nick Craswell:
Luandri: A Clean Lua Interface to the Indri Search Engine. SIGIR 2017: 1221-1223 - [c101]Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra:
SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17). SIGIR 2017: 1431-1432 - [c100]Laura Dietz, Manisha Verma, Filip Radlinski, Nick Craswell:
TREC Complex Answer Retrieval Overview. TREC 2017 - [c99]Evangelos Kanoulas, Emine Yilmaz, Rishabh Mehrotra, Ben Carterette, Nick Craswell, Peter Bailey:
TREC 2017 Tasks Track Overview. TREC 2017 - [c98]Nick Craswell:
Neural Models for Full Text Search. WSDM 2017: 251 - [c97]Bhaskar Mitra, Nick Craswell:
Neural Text Embeddings for Information Retrieval. WSDM 2017: 813-814 - [c96]Bhaskar Mitra, Fernando Diaz, Nick Craswell:
Learning to Match using Local and Distributed Representations of Text for Web Search. WWW 2017: 1291-1299 - [c95]Qingyao Ai, Susan T. Dumais, Nick Craswell, Daniel J. Liebling:
Characterizing Email Search using Large-scale Behavioral Logs and Surveys. WWW 2017: 1511-1520 - [i6]Bhaskar Mitra, Fernando Diaz, Nick Craswell:
Luandri: a Clean Lua Interface to the Indri Search Engine. CoRR abs/1702.05042 (2017) - [i5]Bhaskar Mitra, Nick Craswell:
Neural Models for Information Retrieval. CoRR abs/1705.01509 (2017) - [i4]