Recommendation system: Difference between revisions
Jump to navigation
Jump to search
imported>Yash Prabhu m (RS Classification) |
imported>Yash Prabhu |
||
Line 8: | Line 8: | ||
== Classification == | == Classification == | ||
The current generation of recommendation methods can be broadly classifed into the following three categories, based on how recommendations are made: | The current generation of recommendation methods can be broadly classifed into the following three categories, based on how recommendations are made:<br /> | ||
1. Content-based recommendation systems. | 1. Content-based recommendation systems.<br /> | ||
2. Collaborative recommendation systems. | 2. Collaborative recommendation systems.<br /> | ||
3. Hybrid recommendation systems. | 3. Hybrid recommendation systems.<br /> | ||
== Issues == | == Issues == | ||
== Future == | == Future == |
Revision as of 18:44, 25 July 2010
To provide students with experience in collaboration, you are warmly invited to join in here, or to leave comments on the discussion page. The anticipated date of course completion is 13 August 2010. One month after that date at the latest, this notice shall be removed. Besides, many other Citizendium articles welcome your collaboration! |
A recommendation system is a software program which attempts to narrow down selections for users based on their expressed preferences, past behavior, or other data which can be mined about the user or other users with similar interests.
History
Classification
The current generation of recommendation methods can be broadly classifed into the following three categories, based on how recommendations are made:
1. Content-based recommendation systems.
2. Collaborative recommendation systems.
3. Hybrid recommendation systems.