Collaborative Filtering Web Based Service Recommender System

Abstract

As numerous web services are increasing, selecting and recommending a web serviceto a user(handler)has become vital. Using collaborative filtering technique, we propose a system that can find optimal web service list for the service users based on their history. Collaborative filtering (CF) filters informationby means of the recommendations of other users who share same interests of the target user. Cosine similarity approach is used for selection of better web service. It uses similarity measure algorithm in order to compute web services similarity that enables web service recommendations. In this proposed system, to improve prediction precisionHybrid Clustering technique is used. For estimating the system’s performance, experiments are conducted on Cosine using Hybrid clustering technique.