FG-RS: Capture user fine-grained preferences through attribute information for Recommender Systems
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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… read more here.
Keywords: user fine; fine; user preferences; fine grained ... See more keywords