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Griffith, J, O'riordan, C, Sorensen, H;
2007
March
Identifying User and Group Information From Collaborative Filtering Datasets
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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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