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Top : Reference : Knowledge_Management : Information_Overload : Relevance_Filtering
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    Sites:
  • 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.
  • Collaborative Filtering Research Papers: User-updated directory of collaborative filtering research papers with abstracts, links to the full papers, and reader comments.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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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