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Niu et al., 2016 - Google Patents

FUIR: Fusing user and item information to deal with data sparsity by using side information in recommendation systems

Niu et al., 2016

Document ID
12726892865026841960
Author
Niu J
Wang L
Liu X
Yu S
Publication year
Publication venue
Journal of Network and Computer Applications

External Links

Snippet

Recommendation systems adopt various techniques to recommend ranked lists of items to help users in identifying items that fit their personal tastes best. Among various recommendation algorithms, user and item-based collaborative filtering methods have been …
Continue reading at www.sciencedirect.com (other versions)

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    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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