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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10072540
Abstract: Collaborative filtering recommender systems traditionally recommend products to users solely based on the given user-item rating matrix. Two main issues, data sparsity and scalability, have long been concerns. In our previous work, an approach was…
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Keywords:
rating matrix;
user comments;
item rating;
user item ... See more keywords