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Huang et al., 2018 - Google Patents

Learning to recommend related entities with serendipity for web search users

Huang et al., 2018

View PDF
Document ID
16714367663012315935
Author
Huang J
Ding S
Wang H
Liu T
Publication year
Publication venue
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)

External Links

Snippet

Entity recommendation, providing entity suggestions to assist users in discovering interesting information, has become an indispensable feature of today's Web search engine. However, the majority of existing entity recommendation methods are not designed to boost …
Continue reading at huangjizhou.github.io (PDF) (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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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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