Learning Users’ Visual Preferences for Improving Recommendations
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DOI: 10.1109/access.2022.3140215
Abstract: Sequential recommender systems (SRSs) aim to predict the next item interest to a user by learning the users’ dynamic preferences over items from the sequential user-item interactions. Most of existing SRSs make recommendations by only… read more here.
Keywords: visual preferences; visual preference; preference; learning users ... See more keywords