Directory > Reference > Knowledge Management > Information Overload > Relevance Filtering Augmenting Information Seeking on the World Wide Web Using Collaborative Filtering Techniques Applying Bibliometric analysis, filtering techniques, and collaborative technologies to Web usage data that can, in turn leverage a Web user's Information Seeking behavior. http://www.gslis.utexas.edu/~donturn/research/augmentis-abstract.html Reviews Rating: Not yet Rated
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Drowning in Infoglut? Intelligent Filters to the Rescue! (Sort of...) Jesse Berst. Intelligent filters store your interests and preferences. Then they screen information so you see only things that match. Profile filtering. Collaborative filtering. Psychographic filtering. Adaptive filtering. http://www5.zdnet.com/anchordesk/story/story_1035.html Reviews Rating: Not yet Rated
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StumbleUpon Free web-browser extension which acts as an intelligent browsing tool for discovering and sharing web sites; recommendation engine is based on explicit interests survey and feedback via site ratings. Features screen shots, toolbar guide and contact information. http://www.stumbleupon.com/ Reviews Rating: Not yet Rated
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The Mole Software analyzes the context in which words and sentences are used and dynamically links their relationships. Features purchasing and contact information. http://www.themolesite.com Reviews Rating: Not yet Rated
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Collaborative Filtering Research Papers User-updated directory of collaborative filtering research papers with abstracts, links to the full papers, and reader comments. http://jamesthornton.com/cf/ Reviews Rating: Not yet Rated
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Minimizing Information Overload: The Ranking of Electronic Messages The decision to examine a message at a particular point in time should be made rationally and economically if the message recipient is to operate efficiently. Our model provides a formal method for minimizing expected information overload through information filtering. http://www.ils.unc.edu/~losee/minim.html Reviews Rating: Not yet Rated
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Personal Information Intake Filtering Paul E. Baclace. Explores a hybrid learning algorithm applied to the problem of Information Intake Filtering (IIF). Information Intake refers to information that impinges upon users. http://www.baclace.net/Resources/ifilter1.html Reviews Rating: Not yet Rated
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