Conference Publication Details
Mandatory Fields
Griffith, J,O'riordan, C,Sorensen, H
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Identifying user and group information from collaborative filtering datasets
2007
March
Published
1
()
Optional Fields
collaborative filtering user model graph representations SOCIAL NETWORKS RETRIEVAL WEB
291
310
This paper considers the information that can be captured about users and groups from a collaborative filtering dataset. The aims of the paper are to create a user model and to use this model to explain the performance of a collaborative filtering approach. A number of user and group features are defined and the performance of a collaborative filtering system in producing recommendations for users with different feature values is tested. Graph-based representations of the collaborative filtering space are presented and these are used to de. ne some of the user and group features as well as being used in a recommendation task.
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