A new Recommendation Model for the User Clustering-Based Recommendation System
DOI:
https://doi.org/10.5755/j01.itc.44.1.5931Keywords:
recommendation systems, user clustering, user filtering algorithmsAbstract
The aim of this paper is to create a new recommendation model, that would evaluate peculiarities of user groups, and to examine experimentally the efficiency of user clustering in order to improve the recommendations. The research has disclosed dependencies of the efficiency of recommendations on the number of clusters. The new recommendation model is proposed here for the user clustering-based recommendation system.
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2015-03-30
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Copyright terms are indicated in the Republic of Lithuania Law on Copyright and Related Rights, Articles 4-37.