ENHANCE NMF-BASED RECOMMENDATION SYSTEMS WITH AUXILIARY INFORMATION IMPUTATION
This dissertation studies the factors that negatively impact the accuracy of the collaborative filtering recommendation systems based on nonnegative matrix factorization (NMF). The keystone in the recommendation system is the rating that expresses the user's opinion about an item. One of the mo...
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Format: | Others |
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UKnowledge
2019
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Online Access: | https://uknowledge.uky.edu/cs_etds/79 https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1083&context=cs_etds |