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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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collaborative filtering user model graph representations CONSTRAINED SPREADING ACTIVATION SOCIAL NETWORKS GRAPH ANALYSIS RETRIEVAL ALGORITHMS SYSTEMS WEB
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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