Recommendation as Classification: Using Social and Content-Based Information in Recommendation

, , and . (1998)


Recommendation systems make suggestions about artifacts to a user. For instance, they may predict whether a user would be interested in seeing a particular movie. Social recomendation methods collect ratings of artifacts from many individuals and use nearest-neighbor techniques to make recommendations to a user concerning new artifacts. However, these methods do not use the significant amount of other information that is often available about the nature of each artifact --- such as cast lists...

Links and resources

BibTeX key:
search on:

Comments and Reviews  

There is no review or comment yet. You can write one!


Cite this publication