Koren, 2008 - Google Patents
Factorization meets the neighborhood: a multifaceted collaborative filtering modelKoren, 2008
View PDF- Document ID
- 9456400194371388576
- Author
- Koren Y
- Publication year
- Publication venue
- Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
External Links
Snippet
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are analyzed in order to establish connections between users and products. The two more …
- 238000001914 filtration 0 title abstract description 7
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
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- G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
- G06F17/30023—Querying
- G06F17/30029—Querying by filtering; by personalisation, e.g. querying making use of user profiles
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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
- G06Q30/0202—Market predictions or demand forecasting
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping
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- G—PHYSICS
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