Context based universal service recommendation algorithm

Abstract

Selecting high quality of service to meet user preferences has become a key issue with the increasing number of services. In this paper, we use the context based universal service recommendation(CBUSR) way to solve the problem of high-quality service. Algorithm proposes a new calculation equation related context factors, such as location and price etc. And this paper also uses the combination of factors to recommend services. Using CBUSR algorithm we can select high quality service that meeting the user preferences. Experiment results gives a strong evidence. © 2012 Springer-Verlag Berlin Heidelberg.