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Bhaskar Mitra 0001
Person information
- affiliation: Microsoft, Montréal, Canada
- affiliation: University College London, UK
Other persons with the same name
- Bhaskar Mitra 0002
— 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
- 2024
- [j10]Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren, Mohammad Aliannejadi, Negar Arabzadeh, Raman Chandrasekar, Maarten de Rijke, Panagiotis Eustratiadis, William R. Hersh, Jin Huang, Evangelos Kanoulas, Jasmin Kareem, Yongkang Li, Simon Lupart, Kidist Amde Mekonnen, Adam Roegiest, Ian Soboroff, Fabrizio Silvestri, Suzan Verberne, David Vos, Eugene Yang, Yuyue Zhao:
Report on the Search Futures Workshop at ECIR 2024. SIGIR Forum 58(1): 1-41 (2024) - [j9]Haolun Wu
Result Diversification in Search and Recommendation: A Survey. IEEE Trans. Knowl. Data Eng. 36(10): 5354-5373 (2024) - [c59]Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren:
The Search Futures Workshop. ECIR (5) 2024: 422-425 - [c58]Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra:
Learning to Extract Structured Entities Using Language Models. EMNLP 2024: 6817-6834 - [c57]Anna Gausen
A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers. FAccT 2024: 207-220 - [c56]Haolun Wu
Towards Group-aware Search Success. ICTIR 2024: 123-131 - [c55]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 - [c54]Paul Thomas
Large Language Models can Accurately Predict Searcher Preferences. SIGIR 2024: 1930-1940 - [c53]Hossein A. Rahmani
Synthetic Test Collections for Retrieval Evaluation. SIGIR 2024: 2647-2651 - [c52]Hossein A. Rahmani
LLM4Eval: Large Language Model for Evaluation in IR. SIGIR 2024: 3040-3043 - [c51]Maik Fröbe
ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval. SIGIR 2024: 3051-3054 - [e2]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] - [i60]Karina Cortiñas-Lorenzo, Siân Lindley, Ida Larsen-Ledet, Bhaskar Mitra:
Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems. CoRR abs/2401.09410 (2024) - [i59]Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra:
Structured Entity Extraction Using Large Language Models. CoRR abs/2402.04437 (2024) - [i58]Bhaskar Mitra:
Search and Society: Reimagining Information Access for Radical Futures. CoRR abs/2403.17901 (2024) - [i57]Haolun Wu, Bhaskar Mitra, Nick Craswell:
Towards Group-aware Search Success. CoRR abs/2404.17313 (2024) - [i56]Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos:
Synthetic Test Collections for Retrieval Evaluation. CoRR abs/2405.07767 (2024) - [i55]Bhaskar Mitra, Henriette Cramer, Olya Gurevich:
Sociotechnical Implications of Generative Artificial Intelligence for Information Access. CoRR abs/2405.11612 (2024) - [i54]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) - [i53]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) - [i52]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) - 2023
- [j8]Haolun Wu
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. ACM Trans. Inf. Syst. 41(2): 47:1-47:29 (2023) - [c50]Chirag Shah
Taking Search to Task. CHIIR 2023: 1-13 - [c49]Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri:
De-biasing Relevance Judgements for Fair Ranking. ECIR (2) 2023: 350-358 - [c48]Amifa Raj
Patterns of Gender-Specializing Query Reformulation. SIGIR 2023: 2241-2245 - [c47]Jaime Arguello, Samarth Bhargav, Fernando Diaz, Evangelos Kanoulas, Bhaskar Mitra:
Overview of the TREC 2023 Tip-of-the-Tongue Track. TREC 2023 - [c46]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 - [e1]Debasis Ganguly, Srijoni Majumdar, Bhaskar Mitra, Parth Gupta, Surupendu Gangopadhyay, Prasenjit Majumder:
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2023, Panjim, India, December 15-18, 2023. ACM 2023 [contents] - [i51]Chirag Shah
Taking Search to Task. CoRR abs/2301.05046 (2023) - [i50]Fernando Diaz, Bhaskar Mitra:
Recall as a Measure of Ranking Robustness. CoRR abs/2302.11370 (2023) - [i49]Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand:
Patterns of gender-specializing query reformulation. CoRR abs/2304.13129 (2023) - [i48]Paul Thomas, Seth Spielman
Large language models can accurately predict searcher preferences. CoRR abs/2309.10621 (2023) - [i47]Andrew D. Gordon, Carina Negreanu, José Cambronero, Rasika Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson, Advait Sarkar, Stephanie Simmons, Jack Williams, Ben Zorn:
Co-audit: tools to help humans double-check AI-generated content. CoRR abs/2310.01297 (2023) - [i46]Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra:
KBFormer: A Diffusion Model for Structured Entity Completion. CoRR abs/2312.05253 (2023) - [i45]Anna Gausen, Bhaskar Mitra, Siân Lindley:
A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers. CoRR abs/2312.10076 (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
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
- [b1]Bhaskar Mitra:
Neural methods for effective, efficient, and exposure-aware information retrieval. University College London (University of London), UK, 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
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
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
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
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
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
[c56] [c55] [c54] [c53] [c52] [e2] [i57] [i56] [i54] [i53] [i52] [c48] [c46] [i49] [i48] [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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