Yongfeng Zhang

CoRR, 2021

Deconfounded Causal Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2021

Counterfactual Evaluation for Explainable AI.

[BibT_eX]

[DOI]

CoRR, 2021

Variation Control and Evaluation for Generative SlateRecommendations.

[BibT_eX]

[DOI]

CoRR, 2021

Learning to Explain Recommendations.

[BibT_eX]

[DOI]

CoRR, 2021

Discrete Knowledge Graph Embedding based on Discrete Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Generate Natural Language Explanations for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Variation Control and Evaluation for Generative Slate Recommendations.

[BibT_eX]

[DOI]

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

Efficient Non-Sampling Knowledge Graph Embedding.

[BibT_eX]

[DOI]

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

User-oriented Fairness in Recommendation.

[BibT_eX]

[DOI]

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

Neural Collaborative Reasoning.

[BibT_eX]

[DOI]

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

The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021).

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Towards Long-term Fairness in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

WSDM 2021 Tutorial on Conversational Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

CSR 2021: The 1st International Workshop on Causality in Search and Recommendation.

[BibT_eX]

[DOI]

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

Counterfactual Data-Augmented Sequential Recommendation.

[BibT_eX]

[DOI]

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

FedCT: Federated Collaborative Transfer for Recommendation.

[BibT_eX]

[DOI]

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

EXTRA: Explanation Ranking Datasets for Explainable Recommendation.

[BibT_eX]

[DOI]

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

Tutorial on Fairness of Machine Learning in Recommender Systems.

[BibT_eX]

[DOI]

Yunqi Li

Yingqiang Ge

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

Towards Personalized Fairness based on Causal Notion.

[BibT_eX]

[DOI]

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

HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation.

[BibT_eX]

[DOI]

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

EX3: Explainable Attribute-aware Item-set Recommendations.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Faithfully Explainable Recommendation via Neural Logic Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

IUI 2021 Tutorial on Conversational Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Counterfactual Review-based Recommendation.

[BibT_eX]

[DOI]

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

Counterfactual Explainable Recommendation.

[BibT_eX]

[DOI]

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

Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems.

[BibT_eX]

[DOI]

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

CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems.

[BibT_eX]

[DOI]

Yunqi Li

Yingqiang Ge

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

Personalized Transformer for Explainable Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Efficient Neural Matrix Factorization without Sampling for Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2020

Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2020

Explainable Product Search with a Dynamic Relation Embedding Model.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2020

Explainable Recommendation: A Survey and New Perspectives.

[BibT_eX]

[DOI]

Xu Chen

Found. Trends Inf. Retr., 2020

COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce.

[BibT_eX]

[DOI]

CoRR, 2020

Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Post-Hoc Causal Explanations for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Controllable Explanation Generation for Recommender Systems via Neural Template.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search.

[BibT_eX]

[DOI]

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

Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation.

[BibT_eX]

[DOI]

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

Understanding Echo Chambers in E-commerce Recommender Systems.

[BibT_eX]

[DOI]

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

Learning Personalized Risk Preferences for Recommendation.

[BibT_eX]

[DOI]

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

Fairness-Aware Explainable Recommendation over Knowledge Graphs.

[BibT_eX]

[DOI]

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

Tutorial on Conversational Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

HID: Hierarchical Multiscale Representation Learning for Information Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 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

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation.

[BibT_eX]

[DOI]

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

Neural Logic Reasoning.

[BibT_eX]

[DOI]

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

Generate Neural Template Explanations for Recommendation.

[BibT_eX]

[DOI]

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

Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adversarial Distillation for Efficient Recommendation with External Knowledge.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2019

Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2019

Neural Logic Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Personalized Context-aware Re-ranking for E-commerce Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems.

[BibT_eX]

[DOI]

CoRR, 2019

WWW'19 Tutorial on Explainable Recommendation and Search.

[BibT_eX]

[DOI]

Jiaxin Mao

Qingyao Ai

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

Value-aware Recommendation based on Reinforcement Profit Maximization.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Maximizing Marginal Utility per Dollar for Economic Recommendation.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search.

[BibT_eX]

[DOI]

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

SIGIR 2019 Tutorial on Explainable Recommendation and Search.

[BibT_eX]

[DOI]

Jiaxin Mao

Qingyao Ai

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

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation.

[BibT_eX]

[DOI]

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

Hierarchical Matching Network for Crime Classification.

[BibT_eX]

[DOI]

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

Unified Collaborative Filtering over Graph Embeddings.

[BibT_eX]

[DOI]

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

BERT with History Answer Embedding for Conversational Question Answering.

[BibT_eX]

[DOI]

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

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation.

[BibT_eX]

[DOI]

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

Personalized re-ranking for recommendation.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Adaptive Feature Sampling for Recommendation with Missing Content Feature Values.

[BibT_eX]

[DOI]

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

Attentive History Selection for Conversational Question Answering.

[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

User Intent Prediction in Information-seeking Conversations.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

Answer Interaction in Non-factoid Question Answering Systems.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

Dynamic Explainable Recommendation Based on Neural Attentive Models.

[BibT_eX]

[DOI]

Xu Chen

Zheng Qin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Report on EARS'18: 1st International Workshop on ExplainAble Recommendation and Search.

[BibT_eX]

[DOI]

Yi Zhang

Min Zhang

SIGIR Forum, 2018

Learning over Knowledge-Base Embeddings for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2018

Visually Explainable Recommendation.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation.

[BibT_eX]

[DOI]

Algorithms, 2018

IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Sequential Recommendation with User Memory Networks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

SIGIR 2018 Workshop on ExplainAble Recommendation and Search (EARS 2018).

[BibT_eX]

[DOI]

Yi Zhang

Min Zhang

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

Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems.

[BibT_eX]

[DOI]

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

Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles.

[BibT_eX]

[DOI]

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

Analyzing and Characterizing User Intent in Information-seeking Conversations.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development 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

2017

Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation.

[BibT_eX]

[DOI]

CoRR, 2017

Multi-Product Utility Maximization for Economic Recommendation.

[BibT_eX]

[DOI]

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

Fairness-Aware Group Recommendation with Pareto-Efficiency.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Boosting Moving Average Reversion Strategy for Online Portfolio Selection: A Meta-learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 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

Learning and Transferring Social and Item Visibilities for Personalized Recommendation.

[BibT_eX]

[DOI]

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

Disparity-Aware Group Formation for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Joint Factorizational Topic Models for Cross-City Recommendation.

[BibT_eX]

[DOI]

Xiao Lin

Min Zhang