Service Recommendation Method on Multiple Dimension O2O

The concept of O2O caught great interests from operators and researchers. Although O2O brings great opportunity to the market, the chaos and lack of credit make big problems to the thrive of O2O. The context and preference clustering model is proposed in this paper to study the affection of both customer context and service preference. The proposed model aims to realize a clustering method for both sides, looking for a service recommendation strategy. Test results showed that the proposed assumptions worked well in the model.