Research On Privacy-Protection-Based Service Recommendation For The Third-Party O2O Platform

With the rapid development of O2O(Online to Offline)mobile e-commerce in recent years,offline entity business online marketing and electronic payment are in close contact to provide consumers with convenient and efficient localization services.However,the risk of user privacy disclosure has become a challenge to restrict the further application of cloud-based O2 O mobile e-commerce.At the same time,it is a hot issue for O2 O e-commerce platform that how to provide users with personalized recommendation service.The main work of the thesis includes:(1)According to user privacy issues and personalized recommendation in catering takeaway platform and the operating mode of O2 O platform,the hybrid cloud structure is used to construct the service recommendation framework of catering takeaway platform based on user privacy protection.In this framework,the role of the relevant parties is discussed.(2)A user privacy information protection scheme combining unified authentication and cloud storage protection technology is built.Privacy data storage protection technology based on user grouping.The SimRank model is used to calculate the user similarity according to the graph structure of the order.And the similar users are grouped,and the noise data is added to the groups.different data parts are storaged into different public cloud storage node after vertical partition.The feasibility and validity of the proposed algorithm are verified.(3)A personalized restaurant recommended method considering the distance factors.the project-based collaborative filtering recommendation algorithm is used to achieve personalized user recommendation.and then the distance between the Delivery address and the location of the restaurant is used to optimize the refinement.(4)Based on the Hadoop cloud computing platform,a unified authentication platform for user access control is implemented,and the design of unified authentication platform is introduced in detail.Finally,the work and shortcomings of this paper are summarized,and the next work is forecasted.