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cs.IR2024
PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information
Chonggang Song, Chunxu Shen, Hao Gu +4
Real-world recommendation systems commonly offer diverse content scenarios for users to interact with. Considering the enormous number of users in industrial platforms, it is infea…
cs.IR2024
TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance
Weiqing Luo, Chonggang Song, Lingling Yi +1
Combining semantic information with behavioral data is a crucial research area in recommender systems. A promising approach involves leveraging external knowledge to enrich behavio…