4 papers · 1 filter
LLM Agents Enable User-Governed Personalization Beyond Platform Boundaries
Jiacheng Lin, Kun Qian, Arvind Srinivasan +15
Personalization today is fundamentally platform-centric: services build user representations from the behavioral fragments they observe. Yet no platform can construct a complete pi…
OnePiece: The Great Route to Generative Recommendation -- A Case Study from Tencent Algorithm Competition
Jiangxia Cao, Shuo Yang, Zijun Wang +1
In past years, the OpenAI's Scaling-Laws shows the amazing intelligence with the next-token prediction paradigm in neural language modeling, which pointing out a free-lunch way to…
RecCoT: Enhancing Recommendation via Chain-of-Thought
Shuo Yang, Jiangxia Cao, Haipeng Li +2
In real-world applications, users always interact with items in multiple aspects, such as through implicit binary feedback (e.g., clicks, dislikes, long views) and explicit feedbac…
Enhancing Content-based Recommendation via Large Language Model
Wentao Xu, Qianqian Xie, Shuo Yang +2
In real-world applications, users express different behaviors when they interact with different items, including implicit click/like interactions, and explicit comments/reviews int…