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ORCIDBhaskar Mitra 0001
Person information
- affiliation: Microsoft, Montréal, Canada
- affiliation: University College London, UK
Other persons with the same name
- Bhaskar Mitra 0002
![[0000-0001-5584-1390]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5584-1390")
— Idaho National Laboratory, Idaho Falls, ID, USA (and 1 more) - Bhaskar Mitra 0003 — Drs. Tribedi and Roy Diagnostic Laboratory, Kolkata, India
- Bhaskar Mitra 0004 — Pacific Northwest National Laboratory, Richland, WA, USA
- Bhaskar Mitra 0005 — Indian Institute of Technology Delhi, New Delhi, India
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2020 – today
- 2023
[j8]Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu:
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. ACM Trans. Inf. Syst. 41(2): 47:1-47:29 (2023)- [c48]Chirag Shah, Ryen White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin:
Taking Search to Task. CHIIR 2023: 1-13 - [c47]Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri:
De-biasing Relevance Judgements for Fair Ranking. ECIR (2) 2023: 350-358 - [c46]Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand:
Patterns of Gender-Specializing Query Reformulation. SIGIR 2023: 2241-2245 - [i48]Chirag Shah, Ryen W. White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin:
Taking Search to Task. CoRR abs/2301.05046 (2023) - [i47]Fernando Diaz, Bhaskar Mitra:
Recall as a Measure of Ranking Robustness. CoRR abs/2302.11370 (2023) - [i46]Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand:
Patterns of gender-specializing query reformulation. CoRR abs/2304.13129 (2023) - [i45]Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra:
Large language models can accurately predict searcher preferences. CoRR abs/2309.10621 (2023) - 2022
- [c45]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 - [c44]Nicola Neophytou, Bhaskar Mitra, Catherine Stinson:
Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness. ECIR (1) 2022: 641-654 - [c43]Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri:
Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases. EDBT 2022: 2:435-2:439 - [c42]Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. SIGIR 2022: 703-714 - [c41]Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff:
Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. SIGIR 2022: 2572-2577 - [c40]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 - [c39]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 - [c38]Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega:
Exposing Query Identification for Search Transparency. WWW 2022: 3662-3672 - [i44]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) - [i43]Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. CoRR abs/2205.00048 (2022) - [i42]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) - [i41]Ida Larsen-Ledet, Bhaskar Mitra, Siân Lindley:
Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems. CoRR abs/2209.03819 (2022) - 2021
- [j7]Bhaskar Mitra:
Neural methods for effective, efficient, and exposure-aware information retrieval. SIGIR Forum 55(1): 19:1-19:2 (2021) - [j6]Chirag Shah, Torsten Suel, Fernando Diaz, Bhaskar Mitra, Bárbara Poblete, Hussein Suleman, Suzan Verberne:
Report on the 44th international ACM SIGIR conference on research and development in information retrieval (SIGIR 2021). SIGIR Forum 55(2): 8:1-8:14 (2021) - [c37]Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, Fernando Diaz:
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. CHIIR 2021: 5-14 - [c36]Negar Arabzadeh, Bhaskar Mitra, Ebrahim Bagheri:
MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries. CIKM 2021: 4426-4435 - [c35]Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff:
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. SIGIR 2021: 654-664 - [c34]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 - [c33]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. SIGIR 2021: 1566-1576 - [c32]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. SIGIR 2021: 1697-1702 - [c31]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 - [c30]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 - [c29]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
Overview of the TREC 2021 Deep Learning Track. TREC 2021 - [i40]Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, Fernando Diaz:
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. CoRR abs/2101.07124 (2021) - [i39]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 deep learning track. CoRR abs/2102.07662 (2021) - [i38]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) - [i37]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. CoRR abs/2104.09393 (2021) - [i36]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) - [i35]Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu:
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation. CoRR abs/2105.02951 (2021) - [i34]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) - [i33]Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff:
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. CoRR abs/2105.04651 (2021) - [i32]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) - [i31]Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega:
Exposing Query Identification for Search Transparency. CoRR abs/2110.07701 (2021) - [i30]Nicola Neophytou, Bhaskar Mitra, Catherine Stinson:
Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness. CoRR abs/2110.08353 (2021) - 2020
- [c28]Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette:
Evaluating Stochastic Rankings with Expected Exposure. CIKM 2020: 275-284 - [c27]Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck:
ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search. CIKM 2020: 2983-2989 - [c26]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 - [c25]Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury:
Local Self-Attention over Long Text for Efficient Document Retrieval. SIGIR 2020: 2021-2024 - [c24]Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. SIGIR 2020: 2101-2104 - [c23]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 Deep Learning Track. TREC 2020 - [c22]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. TREC 2020 - [i29]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees:
Overview of the TREC 2019 deep learning track. CoRR abs/2003.07820 (2020) - [i28]Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette:
Evaluating Stochastic Rankings with Expected Exposure. CoRR abs/2004.13157 (2020) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence for Document Retrieval. CoRR abs/2007.10434 (2020) - [i22]Jason Ingyu Choi, Surya Kallumadi, Bhaskar Mitra, Eugene Agichtein, Faizan Javed:
Semantic Product Search for Matching Structured Product Catalogs in E-Commerce. CoRR abs/2008.08180 (2020) - [i21]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) - [i20]Bhaskar Mitra:
Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval. CoRR abs/2012.11685 (2020)
2010 – 2019
- 2019
- [j5]Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni:
Report on the First HIPstIR Workshop on the Future of Information Retrieval. SIGIR Forum 53(2): 62-75 (2019) - [c21]Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary:
An Axiomatic Approach to Regularizing Neural Ranking Models. SIGIR 2019: 981-984 - [c20]Bhaskar Mitra, Nick Craswell:
DUET AT TREC 2019 DEEP LEARNING TRACK. TREC 2019 - [i19]Bhaskar Mitra, Nick Craswell:
An Updated Duet Model for Passage Re-ranking. CoRR abs/1903.07666 (2019) - [i18]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) - [i17]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) - [i16]Bhaskar Mitra, Nick Craswell:
Duet at TREC 2019 Deep Learning Track. CoRR abs/1912.04471 (2019) - [i15]Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni:
Report on the First HIPstIR Workshop on the Future of Information Retrieval. CoRR abs/1912.09910 (2019) - 2018
- [j4]Bhaskar Mitra, Nick Craswell:
An Introduction to Neural Information Retrieval. Found. Trends Inf. Retr. 13(1): 1-126 (2018) - [j3]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) - [c19]Surya Kallumadi, Bhaskar Mitra, Tereza Iofciu:
A Line in the Sand: Recommendation or Ad-hoc Retrieval? Overview of RecSys Challenge 2018 Submission by Team BachPropagate. RecSys Challenge 2018: 7:1-7:6 - [c18]Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft:
Cross Domain Regularization for Neural Ranking Models using Adversarial Learning. SIGIR 2018: 1025-1028 - [c17]Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary:
Optimizing Query Evaluations Using Reinforcement Learning for Web Search. SIGIR 2018: 1193-1196 - [c16]Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary:
Neural Ranking Models with Multiple Document Fields. WSDM 2018: 700-708 - [c15]Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra:
Neural Networks for Information Retrieval. WSDM 2018: 779-780 - [i14]Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra:
Neural Networks for Information Retrieval. CoRR abs/1801.02178 (2018) - [i13]Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary:
Optimizing Query Evaluations using Reinforcement Learning for Web Search. CoRR abs/1804.04410 (2018) - [i12]Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft:
Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning. CoRR abs/1805.03403 (2018) - [i11]Surya Kallumadi, Bhaskar Mitra, Tereza Iofciu:
A Line in the Sand: Recommendation or Ad-hoc Retrieval? CoRR abs/1807.08061 (2018) - 2017
- [j2]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) - [c14]Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda:
Reply With: Proactive Recommendation of Email Attachments. CIKM 2017: 327-336 - [c13]Federico Nanni, Bhaskar Mitra, Matt Magnusson, Laura Dietz:
Benchmark for Complex Answer Retrieval. ICTIR 2017: 293-296 - [c12]Bhaskar Mitra, Fernando Diaz, Nick Craswell:
Luandri: A Clean Lua Interface to the Indri Search Engine. SIGIR 2017: 1221-1223 - [c11]Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra:
Neural Networks for Information Retrieval. SIGIR 2017: 1403-1406 - [c10]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 - [c9]Bhaskar Mitra, Nick Craswell:
Neural Text Embeddings for Information Retrieval. WSDM 2017: 813-814 - [c8]Bhaskar Mitra, Fernando Diaz, Nick Craswell:
Learning to Match using Local and Distributed Representations of Text for Web Search. WWW 2017: 1291-1299 - [i10]Bhaskar Mitra, Fernando Diaz, Nick Craswell:
Luandri: a Clean Lua Interface to the Indri Search Engine. CoRR abs/1702.05042 (2017) - [i9]Bhaskar Mitra, Nick Craswell:
Neural Models for Information Retrieval. CoRR abs/1705.01509 (2017) - [i8]Federico Nanni, Bhaskar Mitra, Matt Magnusson, Laura Dietz:
Benchmark for Complex Answer Retrieval. CoRR abs/1705.04803 (2017) - [i7]Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra:
Neural Networks for Information Retrieval. CoRR abs/1707.04242 (2017) - [i6]Navid Rekabsaz, Bhaskar Mitra, Mihai Lupu, Allan Hanbury:
Toward Incorporation of Relevant Documents in word2vec. CoRR abs/1707.06598 (2017) - [i5]Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda:
Reply With: Proactive Recommendation of Email Attachments. CoRR abs/1710.06061 (2017) - [i4]Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary:
Neural Ranking Models with Multiple Document Fields. CoRR abs/1711.09174 (2017) - 2016
- [j1]Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke:
Report on the SIGIR 2016 Workshop on Neural Information Retrieval (Neu-IR). SIGIR Forum 50(2): 96-103 (2016) - [c7]Fernando Diaz, Bhaskar Mitra, Nick Craswell:
Query Expansion with Locally-Trained Word Embeddings. ACL (1) 2016 - [c6]Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke:
Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval. SIGIR 2016: 1245-1246 - [c5]Eric T. Nalisnick, Bhaskar Mitra, Nick Craswell, Rich Caruana:
Improving Document Ranking with Dual Word Embeddings. WWW (Companion Volume) 2016: 83-84 - [i3]Bhaskar Mitra, Eric T. Nalisnick, Nick Craswell, Rich Caruana:
A Dual Embedding Space Model for Document Ranking. CoRR abs/1602.01137 (2016) - [i2]Fernando Diaz, Bhaskar Mitra, Nick Craswell:
Query Expansion with Locally-Trained Word Embeddings. CoRR abs/1605.07891 (2016) - [i1]Bhaskar Mitra, Fernando Diaz, Nick Craswell:
Learning to Match Using Local and Distributed Representations of Text for Web Search. CoRR abs/1610.08136 (2016) - 2015
- [c4]Bhaskar Mitra, Nick Craswell:
Query Auto-Completion for Rare Prefixes. CIKM 2015: 1755-1758 - [c3]Bhaskar Mitra:
Exploring Session Context using Distributed Representations of Queries and Reformulations. SIGIR 2015: 3-12 - 2014
- [c2]Katja Hofmann, Bhaskar Mitra, Filip Radlinski, Milad Shokouhi:
An Eye-tracking Study of User Interactions with Query Auto Completion. CIKM 2014: 549-558 - [c1]Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, Katja Hofmann:
On user interactions with query auto-completion. SIGIR 2014: 1055-1058
Coauthor Index
[c46] [i46] [i45] [c45] [c40] [c39] [i44] [i42] [c34] [c33] [c32] [c31] [c30] [c29] [i39] [i38] [i37] [i36] [i34] [i32] [c27] [c26] [c25] [c24] [c23] [c22] [i29] [i27] [i26] [i25] [i24] [i23] [i21] [c21] [c20] [i19] [i18] [i17] [i16] [j4] [j3] [c16] [j2] [c12] [c10] [c9] [c8] [i10] [i9] [i4] [j1] [c7] [c6] [c5] [i3] [i2] [i1] [c4]
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