Wei Lin

According to our database, Wei Lin authored at least 15 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.

Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Jiaxin Mao

CoRR, 2024

Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning.

Yongquan He, Xuancheng Huang, Minghao Tang, Lingxun Meng, Xiang Li, Wei Lin, Wenyuan Zhang, Yifu Gao

CoRR, 2024

Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai.

Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding.

Zhizhong Wan, Bin Yin, Junjie Xie, Fei Jiang, Xiang Li, Wei Lin

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization.

Hao Zhou, Rongxiao Huang, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Bing Cheng, Wei Lin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation.

Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.

Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Weizhi Ma, Jiaxin Mao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework.

Ruidong Han, Qianzhong Li, He Jiang, Rui Li, Yurou Zhao, Xiang Li, Wei Lin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan

Proceedings of the ACM Web Conference 2023, 2023

CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model.

Ran Le, Guoqing Jiang, Xiufeng Shu, Ruidong Han, Qianzhong Li, Yacheng Li, Xiang Li, Wei Lin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Interactive Recommendation System for Meituan Waimai.

Chen Ji, Yacheng Li, Rui Li, Fei Jiang, Xiang Li, Wei Lin, Chenglong Zhang, Wei Wang, Shuyang Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.

Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Modeling Dual Period-Varying Preferences for Takeaway Recommendation.

Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.

Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

RAW-GNN: RAndom Walk Aggregation based Graph Neural Network.

Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022