LOCATION-AWARE AND PERSONALIZED COLLABORATIVE FILTERING FOR WEB SERVICE RECOMMENDATION

Authors

  • Mr.Dheeraj D Rathod Department of Computer Engineering,SRTM University, Hingoli, India

Keywords:

Web services, service recommendation, QoS prediction, collaborative filtering,

Abstract

Collaborative Filtering (CF) based Web service recommendation aims to predict missing QoS (Quality-of-Service) values of Web services. The proposed method leverages both locations of users andWeb services while choosing similarneighbors for thetarget user or service. Collaborative Filtering (CF) is widely employed for making Web service recommendation. CF-based Web service aims to predict missing QoS (Quality-of-Service) values of Web services. Although several CF-based web serviceby using QoSprediction methods.However, the performance still needs development. Firstly, existing QoS prediction methods rarelyconsiderspersonalized influence of users and services when measuring doing the comparisonbetween users and between services. Secondly, Web service QoS factors, such asthroughput and response time, usually depends on the locations of Web services and users.

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Published

2021-03-27

Issue

Vol. 3 No. 4 (2016): IJIERT

Section

Articles

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How to Cite

Mr.Dheeraj D Rathod. (2021). LOCATION-AWARE AND PERSONALIZED COLLABORATIVE FILTERING FOR WEB SERVICE RECOMMENDATION. International Journal of Innovations in Engineering Research and Technology, 3(4), 1-8. https://repo.ijiert.org/index.php/ijiert/article/view/872