AI RESEARCH
MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
arXiv CS.AI
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ArXi:2408.08686v4 Announce Type: replace-cross Language Models (LMs) have been widely used in recommender systems to incorporate textual information of items into item IDs, leveraging their advanced language understanding and generation capabilities. Recently, generative recommender systems have utilized the reasoning abilities of LMs to directly generate index tokens for potential items of interest based on the user's interaction history.