Recommendation system: Difference between revisions
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== General requirements for recommendation systems == | == General requirements for recommendation systems == | ||
To make a viable recommendation, three things are needed: | To make a viable recommendation, three things are needed: | ||
(i) background | (i) background information - the information that the system has before the recommendation process begins. | ||
(ii) input | (ii) input information - the information that a user must enter to the system in order to trigger a recommendation. | ||
(iii) an algorithm that combines background and input | (iii) an algorithm that combines background and input information to arrive at its suggestions. | ||
==== Content-based recommendation ==== | ==== Content-based recommendation ==== |
Revision as of 16:46, 8 August 2010
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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 five categories, based on the knowledge sources they use to make recommendations.:
1. Content-based recommendations.
2. Collaborative recommendations.
3. Knowledge-based recommendations.
4. demographic recommendations.
5. Hybrid recommendations.
General requirements for recommendation systems
To make a viable recommendation, three things are needed: (i) background information - the information that the system has before the recommendation process begins. (ii) input information - the information that a user must enter to the system in order to trigger a recommendation. (iii) an algorithm that combines background and input information to arrive at its suggestions.
Content-based recommendation
In Content-based recommendation, the user receives recommendations based on his past preferences.
Collaborative RS
Collaborative recommendation systems recommend items that people with similar taste preferred in the past.
Hybrid RS
Hybrid systems use a combined content-based and collaborative approach.