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anna_riccioni's navigation [3 articles]

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	Cognitive styles and hypermedia navigation: development of a learning model J. Am. Soc. Inf. Sci. Technol., Vol. 53, No. 1. (January 2002), pp. 3-15. by Sherry Y. Chen, Robert D. Macredie posted to learning-model learning-style navigation by anna_riccioni on 2009-01-22 15:08:17 along with 5 people and 4 groups brusilovsky sajan suleehs sharon_hsiao hci02 CMU-HCII social_navigation Adaptive-Web ahat Copy My Attachments My Copy
	Improving web search ranking by incorporating user behavior information In SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval (2006), pp. 19-26. by Eugene Agichtein, Eric Brill, Susan Dumais posted to navigation personalization web-search by anna_riccioni on 2009-01-21 17:01:01 along with 19 people and 2 groups maxweizhao kumppis adamsi fmccown haewoon fiacobelli bemike ctl diogomartins cyrille nearora brusilovsky codex vitalaswp4 billsus koles pprett avirr chintown social_navigation Adaptive-Web Abstract Copy My Attachments My Copy Abstract We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. We examine alternatives for incorporating feedback into the ranking process and explore the contributions of user feedback compared to other common web search features. We report results of a large scale evaluation over 3,000 queries and 12 million user interactions with a popular web search engine. We show that incorporating implicit feedback can augment other features, improving the accuracy of a competitive ...
	News Annotations for Navigation by Semantic Similarity KI 2008: Advances in Artificial Intelligence (2008), pp. 233-240. by Walter Kasper, Jörg Steffen, Yajing Zhang posted to annotation navigation news by anna_riccioni on 2009-01-21 15:43:48 Abstract Copy My Attachments My Copy Abstract We present a system for browsing a news repository that is based on semantic similarity of documents. News documents get automatically annotated semantically using information extraction. Annotations are displayed to a user who can easily retrieve crosslingual semantically related documents by selecting interesting content items. ...

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