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Meng et al., 2021 - Google Patents

Variational Bayesian representation learning for grocery recommendation

Meng et al., 2021

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Document ID
9811389114907581616
Author
Meng Z
McCreadie R
Macdonald C
Ounis I
Publication year
Publication venue
Information Retrieval Journal

External Links

Snippet

Abstract Representation learning has been widely applied in real-world recommendation systems to capture the features of both users and items. Existing grocery recommendation methods only represent each user and item by single deterministic points in a low …
Continue reading at link.springer.com (HTML) (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • 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
    • G—PHYSICS
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    • G06F17/30634—Querying
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    • G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
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    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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