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Liang et al., 2018 - Google Patents

Supervised ranking framework for relationship prediction in heterogeneous information networks

Liang et al., 2018

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Document ID
16072452607229749243
Author
Liang W
Li X
He X
Liu X
Zhang X
Publication year
Publication venue
Applied Intelligence

External Links

Snippet

In recent years, relationship prediction in heterogeneous information networks (HINs) has become an active topic. The most essential part of this task is how to effectively represent and utilize the important three kinds of information hidden in connections of the network …
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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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