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 is proposed. To find association between user input query and web services, this work proposes an improved clustering algorithm which contains the web services associated with each other. The top-k diversified Web services are ranked and thus the web service ranking algorithm is implemented. This algorithm ranks 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 is proposed. To find association between user input query and web services, this work proposes an improved clustering algorithm which contains the web services associated with each other. The top-k diversified Web services are ranked and thus the web service ranking algorithm is implemented. This algorithm ranks 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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