A scenario-based collaborative filtering recommendation for Mobile information services oriented to cloud environment

A scenario-based collaborative filtering recommendation for Mobile information services oriented to cloud environment

Zhang Yaming Liu Seagull

It is a hot issue in personalized recommendation domain How to integrate user situational information parameters effectively to realize the seamless coupling in Mobile Information recommendation service. In view of the problem of "vacancy" in the Mobile Information Service recommendation, the paper introduces the scenario information into the collaborative filtering (CF) recommendation algorithm, and combines the cloud computing technology to further discuss the environment-oriented collaborative filtering recommendation mechanism for Mobile information services, and proposes a mapreduce collaborative filtering recommendation method. "Mobile Information Service scenario recommendation system for tourist attractions" based on cloud environment The experimental results show that this method can effectively improve the execution efficiency of CF in the mass mobile data environment, improve the scale and scalability of mobile recommender system, the information extraction ability and the efficiency of multi-source mass data, and finally meet the user's situation and The need for integrated, instant and personalized Mobile information services.

A scenario-based collaborative filtering recommendation for Mobile information services oriented to cloud environment