PERSO-Retailer: Toward a Web Content Management System Based on a Personalized Marketing Recommender System for Retailers

摘要: The growing incidence of web 2.0 challenges the traditional offline retailers to create a new method shopping and usage consuming goods services through virtual space over electronic store. A contextual framework customer relationship emerges aggregation collaborative-shared opinion on personal preferences about in Web. While benefits building dynamic content into an e-commerce site are profound, personalized access perhaps even bigger. Today more than ever, it is widely assumed that getting relevant information at right time, when becomes available crucial issues main strategic for improving business prots. In this paper, we present overview PERSO- Retailer, research track, aims address challenge competitive evolution marketplace resources context 2.0. PERSO-Retailer innovative webbased online experiences. Where most recommendation system focus only final consumer side, our approach propose tailor by taking account both as well retailer profile. For that, combines contextualization socialization user experiences with social merchandizing strategies retailer. We novel frameworks represent all dimensions user, perspective, advantage merge selling strategies, using multidimensional profile models consumer, marketing plan strategies.