Bhaskar Mitra

Orcid: 0000-0002-5270-5550

Affiliations:
  • Microsoft, Montréal, Canada
  • University College London, UK


According to our database1, Bhaskar Mitra authored at least 77 papers between 2014 and 2024.

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Bibliography

2024
Search and Society: Reimagining Information Access for Radical Futures.
CoRR, 2024

Structured Entity Extraction Using Large Language Models.
CoRR, 2024

Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems.
CoRR, 2024

The Search Futures Workshop.
Proceedings of the Advances in Information Retrieval, 2024

2023
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation.
ACM Trans. Inf. Syst., April, 2023

A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers.
CoRR, 2023

KBFormer: A Diffusion Model for Structured Entity Completion.
CoRR, 2023

Co-audit: tools to help humans double-check AI-generated content.
CoRR, 2023

Large language models can accurately predict searcher preferences.
CoRR, 2023

Recall as a Measure of Ranking Robustness.
CoRR, 2023

Patterns of Gender-Specializing Query Reformulation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

De-biasing Relevance Judgements for Fair Ranking.
Proceedings of the Advances in Information Retrieval, 2023

Taking Search to Task.
Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

2022
Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems.
CoRR, 2022

Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems.
CoRR, 2022

Exposing Query Identification for Search Transparency.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Overview of the TREC 2022 Deep Learning Track.
Proceedings of the Thirty-First Text REtrieval Conference, 2022

Joint Multisided Exposure Fairness for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases.
Proceedings of the 25th International Conference on Extending Database Technology, 2022

Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness.
Proceedings of the Advances in Information Retrieval, 2022

Less is Less: When are Snippets Insufficient for Human vs Machine Relevance Estimation?
Proceedings of the Advances in Information Retrieval, 2022

2021
Report on the 44th international ACM SIGIR conference on research and development in information retrieval (SIGIR 2021).
SIGIR Forum, 2021

Neural methods for effective, efficient, and exposure-aware information retrieval.
SIGIR Forum, 2021

Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation.
CoRR, 2021

Overview of the TREC 2021 Deep Learning Track.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MS MARCO: Benchmarking Ranking Models in the Large-Data Regime.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification.
Proceedings of the CHIIR '21: ACM SIGIR Conference on Human Information Interaction and Retrieval, 2021

2020
Semantic Product Search for Matching Structured Product Catalogs in E-Commerce.
CoRR, 2020

Conformer-Kernel with Query Term Independence for Document Retrieval.
CoRR, 2020

ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search.
CoRR, 2020

Overview of the TREC 2019 deep learning track.
CoRR, 2020

Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Overview of the TREC 2020 Deep Learning Track.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Analyzing and Learning from User Interactions for Search Clarification.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

On the Reliability of Test Collections for Evaluating Systems of Different Types.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Local Self-Attention over Long Text for Efficient Document Retrieval.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Evaluating Stochastic Rankings with Expected Exposure.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Report on the First HIPstIR Workshop on the Future of Information Retrieval.
SIGIR Forum, 2019

Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks.
CoRR, 2019

An Updated Duet Model for Passage Re-ranking.
CoRR, 2019

DUET AT TREC 2019 DEEP LEARNING TRACK.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

An Axiomatic Approach to Regularizing Neural Ranking Models.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018
Neural information retrieval: introduction to the special issue.
Inf. Retr. J., 2018

An Introduction to Neural Information Retrieval.
Found. Trends Inf. Retr., 2018

A Line in the Sand: Recommendation or Ad-hoc Retrieval?
CoRR, 2018

Neural Ranking Models with Multiple Document Fields.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Optimizing Query Evaluations Using Reinforcement Learning for Web Search.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Cross Domain Regularization for Neural Ranking Models using Adversarial Learning.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

A Line in the Sand: Recommendation or Ad-hoc Retrieval? Overview of RecSys Challenge 2018 Submission by Team BachPropagate.
Proceedings of the ACM Recommender Systems Challenge, 2018

2017
Report on the Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17).
SIGIR Forum, 2017

Toward Incorporation of Relevant Documents in word2vec.
CoRR, 2017

Neural Models for Information Retrieval.
CoRR, 2017

Learning to Match using Local and Distributed Representations of Text for Web Search.
Proceedings of the 26th International Conference on World Wide Web, 2017

Neural Text Embeddings for Information Retrieval.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Luandri: A Clean Lua Interface to the Indri Search Engine.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Neural Networks for Information Retrieval.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17).
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Benchmark for Complex Answer Retrieval.
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

Reply With: Proactive Recommendation of Email Attachments.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Report on the SIGIR 2016 Workshop on Neural Information Retrieval (Neu-IR).
SIGIR Forum, 2016

A Dual Embedding Space Model for Document Ranking.
CoRR, 2016

Improving Document Ranking with Dual Word Embeddings.
Proceedings of the 25th International Conference on World Wide Web, 2016

Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Query Expansion with Locally-Trained Word Embeddings.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Exploring Session Context using Distributed Representations of Queries and Reformulations.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Query Auto-Completion for Rare Prefixes.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
On user interactions with query auto-completion.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

An Eye-tracking Study of User Interactions with Query Auto Completion.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014


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