Main Reference PaperDeep hybrid collaborative filtering for Web service recommendation, Expert Systems with Applications, 2018 [Java/J2EE]
  • A deep learning based web service recommendation by combining collaborative filtering and textual content. It captures the complex invocation relations between mashups and services in Web service recommendation by using a multilayer perceptron. Semantic similarities between mashups and services of textual descriptions are developed by using a variety of pre-trained word embeddings.

+ Description
  • A deep learning based web service recommendation by combining collaborative filtering and textual content. It captures the complex invocation relations between mashups and services in Web service recommendation by using a multilayer perceptron. Semantic similarities between mashups and services of textual descriptions are developed by using a variety of pre-trained word embeddings.

  • To improve the accuracy of web service recommendation.

  • To recommend a relevant web service that satisfies the user requirements.

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

  • To recommend a relevant web service that satisfies the user requirements.

  • More heterogeneous information of mashups and services is integrated into the proposed scheme.

+ Contribution
  • More heterogeneous information of mashups and services is integrated into the proposed scheme.

  • 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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