Main Reference PaperLocation-Aware and Personalized Collaborative Filtering for Web Service Recommendation, IEEE Transactions on Services Computing, 2016 [Java/J2EE].
  • This work propose a personalized location-aware collaborative filtering method for QoS-based Web service recommendation. For recommendation, it focuses on predicting QoS values of Web services. To improve the QoS prediction, it computes the QoS similarity between different users and between different services. Then, Web services with satisfactory QoS can be identified and recommended to the user.

+ Description
  • This work propose a personalized location-aware collaborative filtering method for QoS-based Web service recommendation. For recommendation, it focuses on predicting QoS values of Web services. To improve the QoS prediction, it computes the QoS similarity between different users and between different services. Then, Web services with satisfactory QoS can be identified and recommended to the user.

  • The aim of this work is to recommended the high-quality of web services to user.

  • To improve the prediction accuracy.

+ Aim & Objectives
  • The aim of this work is to recommended the high-quality of web services to user.

  • To improve the prediction accuracy.

  • This work may contributes will take more detailed location information into consideration for QoS prediction.

+ Contribution
  • This work may contributes will take more detailed location information into consideration for QoS prediction.

  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1 and J2EE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1 and J2EE.

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.