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Relevance Filtering

  ( 7 )
Techniques and software algorithms applied to the problem of information intake filtering.


1. 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.
2. Collaborative Filtering Research Papers - User-updated directory of collaborative filtering research papers with abstracts, links to the full papers, and reader comments.
3. 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.
4. 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.
5. 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.
6. 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.
7. The Mole - 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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