A fuzzy matching based recommendation approach for mobile products/services

Due to the huge product assortments and complex descriptions of mobile products/services, it is a great challenge for new customers to select appropriate products. To solve this issue, a fuzzy matching based recommendation approach for mobile products/services is proposed in this paper. In this approach, a new customer´s requirements are obtained through asking a set of questions and represented by linguistic terms. When modeling the characteristics of mobile products/services, both their attributes and related users´ usage records are considered. A fuzzy matching approach is applied to find the products that are most matched to the customer´s requirements. A framework of the recommender system for mobile products/services applying the proposed approach is developed.