Main Reference PaperUser-Service Rating Prediction by Exploring Social Users’ Rating Behaviors, IEEE Transactions On Multimedia, March 2016[R].
  • The user-service rating prediction is combined by some social network factors: such as: 1) personal interest: It denotes user’s individuality of rating items, especially for the experienced users. 2) Interpersonal interest similarity: It make connections between user and his/her friend’s latent feature vectors. 3) Interpersonal Rating Behavior Similarity: It denotes the user’s rating behavior habits and his/her rating standards.

Description
  • The user-service rating prediction is combined by some social network factors: such as: 1) personal interest: It denotes user’s individuality of rating items, especially for the experienced users. 2) Interpersonal interest similarity: It make connections between user and his/her friend’s latent feature vectors. 3) Interpersonal Rating Behavior Similarity: It denotes the user’s rating behavior habits and his/her rating standards.

  • To solve the data sparsity and cold start problem.

  • To investigate the relations between personality characteristics and user rating behavior.

  • The goal of matrix factorization is to learn these latent features and exploit them to predict user-service ratings.

Aim & Objectives
  • To solve the data sparsity and cold start problem.

  • To investigate the relations between personality characteristics and user rating behavior.

  • The goal of matrix factorization is to learn these latent features and exploit them to predict user-service ratings.

  • To improve the rating prediction further, the Context Based Social Users Rating Behaviors Analysis is contributed.

Contribution
  • To improve the rating prediction further, the Context Based Social Users Rating Behaviors Analysis is contributed.

  • 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.

Leave Comment

Your email address will not be published. Required fields are marked *

clear formSubmit