Rubens et al., 2015 - Google Patents

Active learning in recommender systems

Rubens et al., 2015

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Document ID
14907860274896647968
Author
Rubens N
Elahi M
Sugiyama M
Kaplan D
Publication year
Publication venue
Recommender systems handbook

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Snippet

Abstract In Recommender Systems (RS), a user's preferences are expressed in terms of rated items, where incorporating each rating may improve the RS's predictive accuracy. In addition to a user rating items at-will (a passive process), RSs may also actively elicit the …
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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
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • 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
    • G06Q30/0241—Advertisement
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    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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