Qingyao Ai

Zhichao Xu

CoRR, 2021

Maximizing Marginal Fairness for Dynamic Learning to Rank.

[BibT_eX]

[DOI]

Tao Yang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Controlling the Risk of Conversational Search via Reinforcement Learning.

[BibT_eX]

[DOI]

Zhenduo Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Beyond Probability Ranking Principle: Modeling the Dependencies among Documents.

[BibT_eX]

[DOI]

Liang Pang

Jun Xu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation.

[BibT_eX]

[DOI]

Zhichao Xu

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Asking Clarifying Questions Based on Negative Feedback in Conversational Search.

[BibT_eX]

[DOI]

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Session details: Session 1A - Ranking (1).

[BibT_eX]

[DOI]

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

A Zero Attentive Relevance Matching Network for Review Modeling in Recommendation System.

[BibT_eX]

[DOI]

Zhichao Xu

Proceedings of the Advances in Information Retrieval, 2021

ULTRA: An Unbiased Learning To Rank Algorithm Toolbox.

[BibT_eX]

[DOI]

Anh Tran

Tao Yang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search.

[BibT_eX]

[DOI]

Lakshmi Narayanan Ramasamy

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Explainable Product Search with a Dynamic Relation Embedding Model.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2020

A Deep Look into neural ranking models for information retrieval.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2020

A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Review Regularized Neural Collaborative Filtering.

[BibT_eX]

[DOI]

Zhimeng Pan

Wenzheng Tao

CoRR, 2020

A Review-based Transformer Model for Personalized Product Search.

[BibT_eX]

[DOI]

CoRR, 2020

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Transformer-based Embedding Model for Personalized Product Search.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

E-commerce Recommendation with Weighted Expected Utility.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Neural generative models and representation learning for information retrieval.

[BibT_eX]

[DOI]

SIGIR Forum, 2019

Investigating Weak Supervision in Deep Ranking.

[BibT_eX]

[DOI]

Data Inf. Manag., 2019

WWW'19 Tutorial on Explainable Recommendation and Search.

[BibT_eX]

[DOI]

Yongfeng Zhang

Jiaxin Mao

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

SIGIR 2019 Tutorial on Explainable Recommendation and Search.

[BibT_eX]

[DOI]

Yongfeng Zhang

Jiaxin Mao

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2019

Improving Web Image Search with Contextual Information.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Correcting for Recency Bias in Job Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Conversational Product Search Based on Negative Feedback.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

A Zero Attention Model for Personalized Product Search.

[BibT_eX]

[DOI]

Daniel N. Hill

S. V. N. Vishwanathan

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Revisiting Iterative Relevance Feedback for Document and Passage Retrieval.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Groupwise Scoring Functions Using Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Learning over Knowledge-Base Embeddings for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation.

[BibT_eX]

[DOI]

Algorithms, 2018

Unbiased Learning to Rank with Unbiased Propensity Estimation.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning a Deep Listwise Context Model for Ranking Refinement.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

A Neural Passage Model for Ad-hoc Document Retrieval.

[BibT_eX]

[DOI]

Brendan O'Connor

Proceedings of the Advances in Information Retrieval, 2018

Towards Conversational Search and Recommendation: System Ask, User Respond.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Unbiased Learning to Rank: Theory and Practice.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Enhancing click models with mouse movement information.

[BibT_eX]

[DOI]

Inf. Retr. J., 2017

Characterizing Email Search using Large-scale Behavioral Logs and Surveys.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

UMass at TREC 2017 Common Core Track.

[BibT_eX]

[DOI]

Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Personalized Key Frame Recommendation.

[BibT_eX]

[DOI]

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

Learning a Hierarchical Embedding Model for Personalized Product Search.

[BibT_eX]

[DOI]

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

Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Large-Scale Analysis of Email Search and Organizational Strategies.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, 2017

2016

Adaptability of Neural Networks on Varying Granularity IR Tasks.

[BibT_eX]

[DOI]

Daniel Cohen