2025
LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation.
CoRR, March, 2025
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation.
CoRR, February, 2025
Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
Tutorial on Recommendation with Generative Models (Gen-RecSys).
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
2024
Accuracy, Explainability and Interactivity: Towards Conversational Recommender Systems
PhD thesis, 2024
Recommendation with Generative Models.
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
Multi-modal Generative Models in Recommendation System.
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
Large Language Model Driven Recommendation.
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
Auto-Encoding or Auto-Regression? A Reality Check on Causality of Self-Attention-Based Sequential Recommenders.
CoRR, 2024
Bridging Language and Items for Retrieval and Recommendation.
CoRR, 2024
Linear Recurrent Units for Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Fair Sequential Recommendation without User Demographics.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Neighborhood-Based Collaborative Filtering for Conversational Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys).
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders.
Proceedings of the ACM Web Conference 2023, 2023
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Automatic Feature Fairness in Recommendation via Adversaries.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Generative Flow Network for Listwise Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Large Language Models as Zero-Shot Conversational Recommenders.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation.
CoRR, 2022
Bundle MCR: Towards Conversational Bundle Recommendation.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Query-Aware Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Leashing the Inner Demons: Self-Detoxification for Language Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Locker: Locally Constrained Self-Attentive Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Weakly Supervised Attention for Hashtag Recommendation using Graph Data.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
2019
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement.
CoRR, 2019
MEAL: Multi-Model Ensemble via Adversarial Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
NAIS: Neural Attentive Item Similarity Model for Recommendation.
IEEE Trans. Knowl. Data Eng., 2018
Adversarial Personalized Ranking for Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018