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Li et al., 2021 - Google Patents

Deep recommendation based on dual attention mechanism

Li et al., 2021

Document ID
8404109451139622151
Author
Li G
Zhu J
Xi H
Publication year
Publication venue
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)

External Links

Snippet

The recommendation model is committed to filtering massive information and providing users with valuable information. Although the recommendation model based on matrix factorization is widely used, it does not perform well in the case of sparse data. Comments …
Continue reading at ieeexplore.ieee.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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    • G06F17/30705—Clustering or classification
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01—Social networking

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