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Sudo et al., 2019 - Google Patents

Numerical study of reciprocal recommendation with domain matching

Sudo et al., 2019

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Document ID
1639556384299786407
Author
Sudo K
Osugi N
Kanamori T
Publication year
Publication venue
Japanese Journal of Statistics and Data Science

External Links

Snippet

Reciprocal recommendation is the task of finding preferable matches among users in two distinct groups. Popular examples of reciprocal recommendation include online job recruiting and online dating services. In this paper, we propose a new method of reciprocal …
Continue reading at www.researchgate.net (PDF) (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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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