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- W2115577985 abstract "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 define some of the user and group features as well as being used in a recommendation task." @default.
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- W2115577985 date "2007-03-01" @default.
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- W2115577985 title "IDENTIFYING USER AND GROUP INFORMATION FROM COLLABORATIVE FILTERING DATASETS" @default.
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- W2115577985 doi "https://doi.org/10.1142/s0218001407005405" @default.
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