Sep 2026
Turning Cold Entities Warm: LLM-Based User and Item Interaction Simulation for Recommendations
Recommendation throughout the cold-start period remains a challenge in recommender systems. Strictly cold entities (users/items) have no interactions, while warm-up entities only have a few unreliable interactions. Strict cold-start methods typically overlook warm-up entities, while warm-up methods are generally not de...
Hao Chen, Li-Jia Chen, Huan Gong et al.
· ACM Transactions on Informat... · 0 citations