A fuzzy matching based recommendation approach for mobile products/services
Dianshuang Wu, Jie Lü, Guangquan Zhang, Hua Lin · 2010
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.