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Tang et al., 2019 - Google Patents

Factorization-based primary dimension modelling for multidimensional data in recommender systems

Tang et al., 2019

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Document ID
16517197567546868432
Author
Tang X
Xu Y
Geva S
Publication year
Publication venue
International Journal of Machine Learning and Cybernetics

External Links

Snippet

In recent years, multidimensional data is becoming increasingly popular in recommender systems. For example, social tagging systems encourage users to employ user-defined keywords to help manage content in a personalized way. Recommender systems built upon …
Continue reading at eprints.qut.edu.au (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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