A study of recommending service based on customer inclination using AHP

We developed recommending solution based on customer inclination using AHP (Analytic Hierarchy Process) to propose recommending service. Collaborative filtering adopts evaluation methods based on user profiles. However, these methods have the difficulties in analyzing the clients' inclinations, interests and levels, as well as cost problem, i.e. it leaves customers unsatisfied. We execute the preprocessing of clustering of user category with weight based on customer inclination. We conduct the system performance evaluation on the data set collected in a cosmetic internet shop. We had the improvement for proposing system.