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Huleihel et al., 2021 - Google Patents

Learning user preferences in non-stationary environments

Huleihel et al., 2021

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Document ID
5392047742223800132
Author
Huleihel W
Pal S
Shayevitz O
Publication year
Publication venue
International Conference on Artificial Intelligence and Statistics

External Links

Snippet

Recommendation systems often use online collaborative filtering (CF) algorithms to identify items a given user likes over time, based on ratings that this user and a large number of other users have provided in the past. This problem has been studied extensively when …
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Classifications

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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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