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Robust Recommendation with Implicit Feedback via Eliminating the Effects of Unexpected Behaviors
[article]
2021
arXiv
pre-print
In the implicit feedback recommendation, incorporating short-term preference into recommender systems has attracted increasing attention in recent years. However, unexpected behaviors in historical interactions like clicking some items by accident don't well reflect users' inherent preferences. Existing studies fail to model the effects of unexpected behaviors, thus achieve inferior recommendation performance. In this paper, we propose a Multi-Preferences Model (MPM) to eliminate the effects of
arXiv:2112.11023v1
fatcat:y43y6cngajcgxfztlzf7vntps4