Abstract:

Managing efficient and effectively the information of the customers in massive markets is a necessary condition for the implementation of CRM strategy [Ruiz, 2005].

Technologies such as recommender systems allow companies to customize customer interactions based on knowledge obtained from the customer preferences. Companies can apply this information in innovative ways to optimize customer relationships.

In this paper we present a set of intrinsic characteristics of the information sources that together with a trust measure of the similar sources allows us know priori the efficiency of a recommender system. These characteristics represent important information about the consumers store in the Customer Database.