Main Reference PaperDeepRec:A Deep Neural Network Approach to Recommendation with Item Embedding and Weighted Loss Function, Information Sciences, 2019.
  • The item recommendation approach uses the deep neural network along with the item embedding and the weighted loss function proposed to enhance the recommendation accuracy. It ensures the novelty and the less complex item recommendation system.

+ Description
  • The item recommendation approach uses the deep neural network along with the item embedding and the weighted loss function proposed to enhance the recommendation accuracy. It ensures the novelty and the less complex item recommendation system.

  • To resolve the issue of data sparsity

  • To predict the user’s interest on the items

+ Aim & Objectives
  • To resolve the issue of data sparsity

  • To predict the user’s interest on the items

  • Develop the item recommendation system for the diverse dataset.

+ Contribution
  • Develop the item recommendation system for the diverse dataset.

  • Operating system: Ubuntu / Windows

  • Java/Python/R

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

  • Java/Python/R

  • 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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