A Based System For Diversifying

2079 WordsApr 27, 20169 Pages
A Clustering Based System for Diversifying WSRec Results Ms. Apurwa Atre Information Technology Department , ICOER, SPPU , Pune , India apurwaatre1994@gmail.com Ms. Nayan Kamble Information Technology Department , ICOER, SPPU , Pune , India kamble.nayan28@gmail.com Ms. Vineeta Bisht Information Technology Department , ICOER, SPPU , Pune , India vinitab1994@gmail.com Mr. Tejas Mamarde Information Technology Department , ICOER, SPPU , Pune , India tejasxs@gmail.com ABSTRACT The use of Web services for various applications has led to the growth of web services on a large scale. Due to the increase in usage of web services, it has become of prime importance to design systems for effective web service recommendation. In our project, we propose a system for effective web service recommendations incorporating users’ preferences regarding quality and diversities amongst web services. Users’ requirements are considered and mined from his usage history. Then we find functional similarities using clustering techniques followed by applying a ranking algorithm to list top-k services. To discover high quality Web services, a number of QoS models for Web services and QoS-driven service selection approaches have been proposed in the service computing field. In this system user explicitly specifies his/her interests and QoS requirements, and submits them to the service discovery system. Then the service discovery system matches the user’s interests and QoS requirements with
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