International Journal of Advanced Research in Computer Engineering & Technology
In this paper, the authors develop a User Based Personalized Search with big data, named UBPS, to address scalability and inefficiency problem in big data with traditional service recommender systems, which fails to meet users' personalized requirements and diverse preferences. In the existing system, service recommender systems, such as hotel reservation systems and restaurant guides, they have not considered user's different preferences. And also it solves the scalability problem by dividing dataset. It is a robust method to achieve a personalization.