Title: Selection
Information Sources Based on the Trust of Similar Sources
Abstract: Managing
efficient and effectively the information of the customers in massive markets
is a necessary condition for the implementation of CRM strategy. 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.
Authors: Silvana
Vanesa Aciar, Josefina López Herrera, Josep Lluis de la Rosa and Javier
Guzmán Obando