Main Reference PaperRating prediction for recommendation: Constructing user profiles and item characteristics using backpropagation, Applied Soft Computing Journal, 2018 [R]
  • The rating prediction system exploits the deep learning method to construct the user profile and the features of the item in an automatic manner. In the absence of demographic data, it predicts the ratings of users that improves the accuracy.

Description
  • The rating prediction system exploits the deep learning method to construct the user profile and the features of the item in an automatic manner. In the absence of demographic data, it predicts the ratings of users that improves the accuracy.

  • To predict the ratings apart from the demographic information

  • To improve the prediction accuracy through the deep learning model

Aim & Objectives
  • To predict the ratings apart from the demographic information

  • To improve the prediction accuracy through the deep learning model

  • The rating prediction based on the implicit features, serendipity and novelty help to improve the prediction quality.

Contribution
  • The rating prediction based on the implicit features, serendipity and novelty help to improve the prediction quality.

  • 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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