Collaborative Filtering Enhanced by Demographic Correlation

نویسندگان

  • Manolis Vozalis
  • Konstantinos G. Margaritis
چکیده

In this paper we explore how two existing collaborative filtering algorithms can be enhanced by the calculation of demographic correlations among the members of user or item neighborhoods. Experiments are executed to evaluate the performance of the proposed approach. Their results show that demographic data can, in some cases, lead to the generation of more accurate predictions.

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تاریخ انتشار 2004