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Guo et al., 2020 - Google Patents

A survey on knowledge graph-based recommender systems

Guo et al., 2020

View PDF
Document ID
3415535991254836470
Author
Guo Q
Zhuang F
Qin C
Zhu H
Xie X
Xiong H
He Q
Publication year
Publication venue
IEEE Transactions on Knowledge and Data Engineering

External Links

Snippet

To solve the information explosion problem and enhance user experience in various online applications, recommender systems have been developed to model users' preferences. Although numerous efforts have been made toward more personalized recommendations …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • 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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