Gedikli, 2013 - Google Patents
Recommender systems and the social web: Leveraging tagging data for recommender systemsGedikli, 2013
- Document ID
- 9973667602647286669
- Author
- Gedikli F
- Publication year
External Links
Snippet
There is an increasing demand for recommender systems due to the information overload users are facing on the Web. The goal of a recommender system is to provide personalized recommendations of products or services to users. With the advent of the Social Web, user …
- 238000011160 research 0 abstract description 25
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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