Abstract:

Personalized recommender services provide users with the preference items based on their interests.It has been applied to various areas such as website navigation, indexing and retrieving system of digital libraries, Ecommerce, search engine. Having studied recent developments in the relavent areas, we propose a new algorithm based on a esignated group that using fuzzy clustering combined with two collaborative filtering techniques. The result shows that the roposed algorithm can solve the problem of sparsity and improve quality of preferences.

Key words: personal recommendation; designated group; fuzzy clustering; collaborative filtering