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Relevance Filtering
Directory > Reference > Knowledge Management > Information Overload > Relevance Filtering

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Web Sitesi

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.

Reviews Rating: Not yet Rated Whois Check

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.

Reviews Rating: Not yet Rated Whois Check

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.

Reviews Rating: Not yet Rated Whois Check

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

Reviews Rating: Not yet Rated Whois Check

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.

Reviews Rating: Not yet Rated Whois Check

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.

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