BehaveRec evaluates when long-term behavioral history and community signals improve sequential recommendation.
Read the original at arxiv.org→arXiv:2610.36239v1 Announce Type: new Abstract: Sequential recommendation models typically predict a user's next action from recent session interactions, which limits personalization when short-term signals are weak...
Original headline: "BehaveRec: When Does Long-Term Behavioral History Help Sequential Recommendation? A Study with Session, History, and Community Signals"
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- Oct 28, 04:00 UTC arXiv cs.AI lead source BehaveRec: When Does Long-Term Behavioral History Help Sequential Recommendation? A Study with Session, History, and Community Signals