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Liu et al., 2015 - Google Patents

Incorporating user, topic, and service related latent factors into web service recommendation

Liu et al., 2015

Document ID
9634621918384137820
Author
Liu X
Fulia I
Publication year
Publication venue
2015 IEEE International Conference on Web Services

External Links

Snippet

Due to the large and increasing number of web services, it is very helpful to provide a proactive feed on what is available to users, ie, Recommending web services. As collaborative filtering (CF) is an effective recommendation method by capturing latent …
Continue reading at ieeexplore.ieee.org (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
    • 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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