The Research And Implemention Of Local Service Recommendation System Based On A New Kind Of Social Network

In the process of urbanization and modernization, the traditional community culture is losing. Meanwhile, the local life service model O2 O is booming, but many of the companies use the wrong marketing way, which give rise to poor users’ loyalty. As a result, this paper focuses on the construction of local life service recommendation system, which is based on vertical social network site. This recommendation system will offer a good way for the companies to build strong relationship with the clients. For the users, the local life service recommendation system can help them find out the daily needs and make their life return to the community.The study has a further research on the theory of social network and the trend of the development of O2 O e-commence model. The innovation of the study is the combination of e-commerce and social networking. It is based on vertical social networking site and local community, which provide the users a chance to find out the service in the process of recreation.The paper pays attention onthe research of social e-commerce recommendation system including social network theory as well as the relevant recommendation technology. By comparing the advantages and disadvantages of various user interest model and recommendation algorithm, the paper designs the regional social network of local life service recommendation system. The model of the recommendation system contains the SNS community, local service life management system, recommend the system, data storage. The establishment of user interest model is based on user collaborative filtering algorithm, and collaborative filtering algorithm.At last, the paper complete the test of the prototype.