User Cold Start Recommendation System Based on Hofstede Cultural Theory

The main function of recommendation systems is to help users select satisfactory services from many services. Existing usually need conduct a questionnaire survey the user or obtain user's third-party information in case cold start users; this operation often infringes on privacy. This article aimed at providing accurate recommendations for without infringement Therefore, response problem, manuscript per authors proposes algorithm based Hofstede's cultural dimensions theory. uses theory establish connection between two users, thus ensuring stability QoS prediction accuracy. Then, results and dynamic combination matrix factorization are used more prediction. verification real dataset WS-Dream show that proposed paper effectively alleviates problem.