Enhancing Content-based Recommendation via Large Language Model

arXiv:2404.00236v1 Announce Type: cross
Abstract: In real-world applications, users express different behaviors when they interact with different items, including implicit click/like interactions, and explicit comments/reviews interactions. Nevertheless, almost all recommender works are focused on how to describe user preferences by the implicit click/like interactions, to find the synergy of people. For the content-based explicit comments/reviews interactions, some works attempt to utilize them to mine the semantic knowledge to enhance recommender models. However, they still neglect the following two points: (1) …

abstract applications arxiv click cs.cl cs.ir express interactions language language model large language large language model people recommendation reviews synergy type via world