NEWS | COllaborative Filtering Engine - The Diigo Meta page

• 12 Aug 08
  

  Fabio Caballero

  Java Web20

• 06 May 08
  

  Srikant Jakilinki

• 19 Nov 07
  

  Scott Leslie

  a free Java recommendation engine for collaborative filtering

  collaborative_filtering opensource

• 03 Nov 07
  

  steve yang

  COFE Collaborateive.Filtering.Engine

• 07 Oct 07
  

  kavjer

  Collaborative filtering is the process of computing personalized recommendations by finding users with similar taste. Such techniques have been successfully used to recommend newsgroup articles, movies, music, and e-commerce products.

  social 221 socialsoftware cms repoblik

• 14 Sep 07
  

  Truman Lam

  cf del.icio.us imported

• 10 Aug 07
  

  Mats Svensson

  Useful UsefulForProject bookmarkservices java programming webdev

• 24 May 07
  

  kenny kim

  RecommenderSystem recommendation opensource CollaborativeFiltering

• 08 May 07
  

  Zhe sto

  ai cluster imported delicious java programming web2.0

• 13 Apr 07
  

  wonglh

  ecommerce

  • free Java recommendation engine for collaborative filtering
• 19 Jan 07
  

  Nicholas K

  java personalization

• 23 Sep 06
  

  B B

  Freeware Open source projects Software engineering Collaboration stuff

  • The Intelligent Information Systems (IIS) research group of Oregon State University is pleased to announce Version 0.4 of CoFE: a free Java recommendation engine for collaborative filtering. CoFE is short for "COllaborative Filtering Engine". CoFE was formerly known as CFEngine, but has been renamed due to a popular unrelated software package with the same name
• 12 Sep 06
  

  mik rub

  General

• 17 Jun 06
  

  Tobi B

  tools development recommandations JEE furl

  • The Intelligent Information Systems (IIS) research group of Oregon State University is pleased to announce Version 0.4 of CoFE: a free Java recommendation engine for collaborative filtering. CoFE is short for "COllaborative Filtering Engine". CoFE was formerly known as CFEngine, but has been renamed due to a popular unrelated software package with the same name.
  • The Intelligent Information Systems (IIS) research group of Oregon State University is pleased to announce Version 0.4 of CoFE: a free Java recommendation engine for collaborative filtering. CoFE is short for "COllaborative Filtering Engine". CoFE was formerly known as CFEngine, but has been renamed due to a popular unrelated software package with the same name.
• 16 Jun 06
  

  JOAN CODINA

  recommendation system web

• 31 May 06
  

  Marco Kalz

  Tencompetence Recommender Systems

  • This free server (including source code) allows anyone to easily set up a recommendation system. It should run on any platform that supports Java 1.4. We hope it will enhance academic research and commercial application of such systems by removing the need for developers to create such an engine themselves.
• 28 Apr 06
  

  Kevin O'Gorman

  Software TaLe2.0 collaboration filtering

• 07 Apr 06
  

  yong zhao

  Framework

• 03 Apr 06
  

  Florent Darrault

  collaborative-filtering code java opensource free library software

• 31 Jan 06
  

  Joel Liu

  bookmark recommendation social

• 04 Nov 05
  

  Ajai Khattri

  Computing - Internet Applications

• 02 Nov 05
  

  ozgwei

  An open-source Java implementation of collaborative filtering recommender system engine developed by Oregon State University.

  Recommender System Engine Collaborative Filtering COFE Java Open Source Download

• 22 Oct 05
  

  jakelundy

  backend techonology

• 26 Sep 05
  

  emdiesus Diego

  collaboration tools

• 20 Jul 05
  

  Tim Shadel

  CoFE is a free Java recommendation engine for collaborative filtering from the The Intelligent Information Systems (IIS) research group of Oregon State University.

  • Collaborative filtering is the process of computing personalized recommendations by finding users with similar taste. Such techniques have been successfully used to recommend newsgroup articles, movies, music, and e-commerce products. Collaborative filtering is most known for its use on popular e-commerce sites such as Amazon.com or NetFlix.com. Today, most recommender systems are proprietary.
• 01 Jan 05
  

  Dan Howard

  How to power "people who bought this book also bought these..." searches. Just like on Amazon.
  <p>
  Furl uses this to power their "people who furled this page, also liked...".
  <p>
  Open source software!

  entrep tools social-sw

• 21 May 04
  

  m p

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