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Augmenting Information Seeking on the World Wide Web Using Collaborative Filtering Techniques

http://www.gslis.utexas.edu/~donturn/research/augmentis-abstract.html

Applying Bibliometric analysis, filtering techniques, and collaborative technologies to Web usage data that can, in turn leverage a Web user's Information Seeking behavior.

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Collaborative Filtering Research Papers

http://jamesthornton.com/cf

User-updated directory of collaborative filtering research papers with abstracts, links to the full papers, and reader comments.

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Drowning in Infoglut? Intelligent Filters to the Rescue! (Sort of...)

http://www5.zdnet.com/anchordesk/story/story_1035.html

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.

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Minimizing Information Overload: The Ranking of Electronic Messages

http://www.ils.unc.edu/~losee/minim.html

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.

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Personal Information Intake Filtering

http://www.baclace.net/Resources/ifilter1.html

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.

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StumbleUpon

http://www.stumbleupon.com

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.

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The Mole

http://www.themolesite.com

Software analyzes the context in which words and sentences are used and dynamically links their relationships. Features purchasing and contact information.

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