Main Reference PaperA New Improved Clustering Algorithm based Diversified Web Page Recommendation, International Journal of Computer Applications, April 2016 [Java/J2EE].
  • A Web service recommendation with diversity to find desired Web services for users. To find association between user input query and web services, this work propose an improved clustering algorithm which contains the web services are associated with each other. The top-k diversified Web service are ranked, web service ranking algorithm is implemented. This algorithm rank the web service based on their user interest, potential user interest, QoS utility and diversity feature.

+ Description
  • A Web service recommendation with diversity to find desired Web services for users. To find association between user input query and web services, this work propose an improved clustering algorithm which contains the web services are associated with each other. The top-k diversified Web service are ranked, web service ranking algorithm is implemented. This algorithm rank the web service based on their user interest, potential user interest, QoS utility and diversity feature.

  • To improve the accuracy of web page recommendation.

  • To remove the redundant web services.

+ Aim & Objectives
  • To improve the accuracy of web page recommendation.

  • To remove the redundant web services.

  • A technique is contributed to further improve the accuracy of web page recommendation.

+ Contribution
  • A technique is contributed to further improve the accuracy of web page recommendation.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1 and J2SE

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

  • Netbeans 8.0.1 and J2SE

  • B.E / B.Tech / M.E / M.Tech

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

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