STAR: A Simple Training-free Approach for Recommendations using Large Language Models.
CoRR, 2024
Leveraging LLM Reasoning Enhances Personalized Recommender Systems.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems.
CoRR, 2023
Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020
Neural Input Search for Large Scale Recommendation Models.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020