作者位次 #3/7ACL 2026Poster· Natural Language Processing
Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLM s as Semantic Encoders
Yupeng Hou · Jiacheng Li · Xiangjun Fu · Zhankui He · An Yan · Xiusi Chen · Julian J. McAuley
摘要
Feature engineering has long been central to recommender systems, yet effectively leveraging textual item features remains challenging. Recent advances in large language models (LLMs) have enabled their use as semantic encoders for recommendation, but their roles and behaviors in this setting are...