NEWS | COllaborative Filtering Engine
Popularity Report
 |
|||
|
|||
|
|||
|
|||
|
|||
|
Rank
URL Tag Cloud
Bookmark History
Saved by 27 people (-5 private), first by anonymouse user on 2006-03-02
- Fcaballero on 2008-08-12 - Tags Java , Web20
- Sriks6711 on 2008-05-06 - Tags
- Nessman on 2007-11-19 - Tags collaborative_filtering , opensource
- Steveyang on 2007-11-03 - Tags COFE , Collaborateive.Filtering.Engine
- Kavjer on 2007-10-07 - Tags social , 221 , socialsoftware , cms , repoblik
Public Sticky notes
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.
Highlighted by marcok
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.
Highlighted by toobias
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
Highlighted by earlybert
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.
Highlighted by toobias
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.
Highlighted by shadeltd
free Java recommendation engine for collaborative filtering
Highlighted by wonglh
Public Comment