A Consumption History and QoS based Web Service Ranking Technique

Abstract

The number of web services that are available on the internet increases day by day, but the end users get struck in identifying the web services that meet their requirements. Web services are generally ranked and listed by finding how much is a web service functionally similar to the one the user is searching for. But over the time, this methodology failed to satisfy the users due to the large number of web services that became available. Later, approaches like collaborative filtering and ranking based on QoS which were compensatory in nature were adopted. But the results could be made more accurate if consumption history is considered and QoS preferences and QoS constraints were explored at large which is considered in this work. The proposed system ranks the web services by considering the functional relevance, user behavior, QoS and service usage factor. The results from the proposed system were found to be better than the existing ranking systems in satisfying the users.