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Sumaia et al., 2023 - Google Patents

An experimental study on the performance of collaborative filtering based on user reviews for large-scale datasets

Sumaia et al., 2023

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Document ID
17991477710083392575
Author
Sumaia A
Noah S
Mohammed M
Publication year
Publication venue
PeerJ Computer Science

External Links

Snippet

Collaborative filtering (CF) approaches generate user recommendations based on user similarities. These similarities are calculated based on the overall (explicit) user ratings. However, in some domains, such ratings may be sparse or unavailable. User reviews can …
Continue reading at peerj.com (HTML) (other versions)

Classifications

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    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval 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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    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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