Main Reference PaperA Location-Based Factorization Machine Model for Web Service QoS Prediction, IEEE Transactions on Service Computing, 2018 [Java/J2EE]
  • A location-based factorization machine approach is proposed for personalized web service QoS value prediction. It employs the similarity measurement is based on the users and web services. It also combines the geographic data into factorization machines and achieves a higher prediction accuracy.

+ Description
  • A location-based factorization machine approach is proposed for personalized web service QoS value prediction. It employs the similarity measurement is based on the users and web services. It also combines the geographic data into factorization machines and achieves a higher prediction accuracy.

  • To improve the prediction accuracy.

  • Reduces computing complexity.

  • To find the best service among all web services.

+ Aim & Objectives
  • To improve the prediction accuracy.

  • Reduces computing complexity.

  • To find the best service among all web services.

  • More factors are considered in feature extraction to improve the prediction accuracy.

+ Contribution
  • More factors are considered in feature extraction to improve the prediction accuracy.

  • Operating system: Ubuntu / Windows

  • Language: Java/J2EE

+ Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Language: Java/J2EE

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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.

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