Relevance Filtering Information Overload Knowledge Management

Relevance Filtering

Techniques and software algorithms applied to the problem of 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.
  
• - Applying Bibliometric analysis, filtering techniques, and collaborative technologies to Web usage data that can, in turn leverage a Web user's Information Seeking behavior.
  
• - 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.
  
• - 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 inform
  
• - Software analyzes the context in which words and sentences are used and dynamically links their relationships. Features purchasing and contact information.
  
• - 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 informat
  
• - User-updated directory of collaborative filtering research papers with abstracts, links to the full papers, and reader comments.
  
  

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