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Published in 2022 at "IEEE Access"
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…
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Keywords:
visual preferences;
visual preference;
preference;
learning users ... See more keywords