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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.05.068
Abstract: Abstract Recommender system uses user-item historical interactions to portray user preferences. Due to the problem of data sparseness, auxiliary information is introduced to describe user preferences, such as user/item attribute information. However, some of these…
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Keywords:
user fine;
fine;
user preferences;
fine grained ... See more keywords