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Artificial Intelligence > Collaborative Filtering
The following information is about Collaborative Filtering.
Collaborative Filtering Defined
A technique for leveraging historical data about preferences of a body of users to help make recommendations or filter information for a particular user. Intuitively, the goal of these techniques is to develop an understanding of what may be interesting to a user by uncovering what is interesting to people who are similar to that user. See GIIF and IQE for examples of applications that use collaborative filtering techniques.
This definition is in context to Artificial Intelligence. See more contextual defintions for Collaborative Filtering.
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If you would like to find additional social bookmark based links on the topic of we recommend the Open Tag Directory > Collaborative Filtering. If you would like to find related tags we recommend Tag Patterns > Collaborative Filtering
Off-site Collaborative Filtering Research Links
If you still need additional information on Collaborative Filtering then we suggest the following off-site resources. Please note, because these resources are off-site we cannot guarantee the accuracy or quality of any information.
- A9 > Collaborative Filtering
- Alexa > Collaborative Filtering
- DMOZ > Collaborative Filtering
- Feeds Filtered > Collaborative Filtering
- Google > Collaborative Filtering
- News Meme > Collaborative Filtering
- Nuah: News > Collaborative Filtering
- The Feed Directory > Collaborative Filtering
- OBP > Collaborative Filtering
- Open Tag Directory > Collaborative Filtering
- Podzy > Collaborative Filtering
- Yahoo > Collaborative Filtering
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