Collaborative filtering - Wikipedia, the free encyclopedia - The Diigo Meta page

• 10 May 10
  

  Giorgio Bertini

  Collaborative filtering (CF) is the process of filtering for information or patterns using techniques involving collaboration among multiple agents, viewpoints, data sources, etc. Applications of collaborative filtering typically involve very large data s

  learning change

• 21 Sep 09
  

  Christ McDaniel

  delicious

• 25 Dec 08
  

  jywoo47
  • This differs from the more simple approach of giving an average (non-specific) score for each item of interest, for example based on its number of votes.
  • The first system to use collaborative filtering was the Information Tapestry project at Xerox PARC ^[1]. This system allowed users to find documents based on previous comments by other users
• 04 May 07
  

  cecilidw

  diverse artig?

• 25 Apr 07
  

  Collaborative filtering (CF) is the method of making automatic predictions (filtering) about the interests of a user by collecting taste information from many users (collaborating)

  social implicite personnalisation semtags collaborative filtering filtrage collaboratif

• 15 Apr 07
  

  Jason Coleman

  imported WineSites filtering

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