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Zhang et al., 2022 - Google Patents

Knowledge graph recommendation model based on feature space fusion

Zhang et al., 2022

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Document ID
3298814308923203117
Author
Zhang S
Wang X
Wang R
Gu J
Li J
Publication year
Publication venue
Applied Sciences

External Links

Snippet

The existing recommendation model based on a knowledge graph simply integrates the behavior features in a user–item bipartite graph and the content features in a knowledge graph. However, the difference between the two feature spaces is ignored. To solve this …
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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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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
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