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Sun et al., 2021 - Google Patents

Meta-learned specific scenario interest network for user preference prediction

Sun et al., 2021

Document ID
1502506300854869059
Author
Sun Y
Yin K
Liu H
Li S
Xu Y
Guo J
Publication year
Publication venue
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

External Links

Snippet

User preference prediction is a task of learning user interests through user-item interactions. Most existing studies capture user interests based on historical behaviors without considering specific scenario information. However, the users may have special interests in …
Continue reading at dl.acm.org (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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    • G—PHYSICS
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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