Discriminative temporal interest-based preference learning for content-based recommendation
Content-based recommender systems (CBRSs) have shown to be highly effective for enhancing user experience in various real-world problems and application domains. This type of systems recommends items whose content is similar to the ones previously preferred by a user. Most existing CBRSs learn stati...
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2021
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