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Hu et al., 2018 - Google Patents

A user similarity-based Top-N recommendation approach for mobile in-application advertising

Hu et al., 2018

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Document ID
4783320924960731516
Author
Hu J
Liang J
Kuang Y
Honavar V
Publication year
Publication venue
Expert Systems with Applications

External Links

Snippet

Ensuring scalability of recommender systems without sacrificing the quality of the recommendations produced, presents significant challenges, especially in the large-scale, real-world setting of mobile ad targeting. In this paper, we propose MobRec, a novel two …
Continue reading at faculty.ist.psu.edu (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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