Fuzzy data-mining hybrid methods for recommender systems

Abstract:

CRM (Customer Relationship Management) is one important area of Business Intelligence (BI) where information is strategically used for maximizing the value of each customer in a company. Recommender systems constitute a suitable context to apply CRM strategies. This kind of systems are becoming indispensable in the e-commerce environment since they represent a way of increasing customer satisfaction and taking positions in the competitive market of the electronic business activities. They are used in many application domains to pbkp_redict consumer preferences and assist web users in the search of products or services. There are a wide variety of methods for making recommendations; however, in spite of the advances in the methodologies, recommender systems still present some important drawbacks that prevent from satisfying entirely their users. This chapter presents one of the most promising approaches consisting of combining data mining and fuzzy logic. © Springer-Verlag Berlin Heidelberg 2014.

Año de publicación:

2014

Keywords:

Fuente:

scopus