Chu et al., 2009 - Google Patents
Personalized recommendation on dynamic content using predictive bilinear modelsChu et al., 2009
View PDF- Document ID
- 6816180548408826752
- Author
- Chu W
- Park S
- Publication year
- Publication venue
- Proceedings of the 18th international conference on World wide web
External Links
Snippet
In Web-based services of dynamic content (such as news articles), recommender systems face the difficulty of timely identifying new items of high-quality and providing recommendations for new users. We propose a feature-based machine learning approach …
- 230000002860 competitive 0 abstract description 7
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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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- 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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