Chang Meng

Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation

Recommender systems filter contents/items valuable to users by inferring preferences from user features and historical behaviors. Mainstream approaches follow the learning-to-rank paradigm, which focus on discovering and modeling item topics (e.g., categories), and capturing user preferences on the…