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Published in 2024 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2022.3223516
Abstract: Context-aware recommendation systems (CARSs) leverage contextual information, e.g., time, location, or mood, to generate more personalized recommendations with high accuracy; however, existing CARSs fall short in: 1) handling the high sparsity of data; 2) designing…
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Keywords:
recommender system;
time;
aware recommender;
multicontext aware ... See more keywords