Review Papers | Data & Knowledge Engineering | India | Volume 6 Issue 9, September 2017
Web Service Recommendation System Incorporating Location and Personalized QoS Prediction
Nitin V. Tawar, Supriya A. Kinariwala
With the invent of new technologies and advancements in business, more and more organizations are working towards building automated systems which work over the internet throughout the world for communication purpose and the availability of huge number of web services for different requirements makes the task of business organizations. Due to presence of a wide variety of web services available for the user, it is a difficult task to choose a particular service satisfying the requirements. In this paper we have studied various previous works under recommending user with services which best suits the requirements so that he can select and use the best service available and we then propose a recommendation system, which presents the user with a list of recommended services as per his needs which are near to him physically as well as which satisfy security requirements.
Keywords: Collaborative filtering, QoS Prediction, Personalized influence, Recommendation, Similarity Computation
Edition: Volume 6 Issue 9, September 2017
Pages: 1610 - 1613
How to Cite this Article?
Nitin V. Tawar, Supriya A. Kinariwala, "Web Service Recommendation System Incorporating Location and Personalized QoS Prediction", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20176986, Volume 6 Issue 9, September 2017, 1610 - 1613
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