Main Reference PaperA recommender system based on collaborative filtering using ontology and dimensionality reduction techniques, Expert Systems With Applications, 2018.[Java]
  • The proposed recommendation method is based on Collaborative Filtering (CF) approaches. To improve the sparsity and scalability, this work proposes a dimensionality reduction and ontology techniques. A dimensionality reduction techniques Singular Value Decomposition (SVD), to find the most similar items and users in each cluster of items which can improve the scalability of the recommendation method.

Description
  • The proposed recommendation method is based on Collaborative Filtering (CF) approaches. To improve the sparsity and scalability, this work proposes a dimensionality reduction and ontology techniques. A dimensionality reduction techniques Singular Value Decomposition (SVD), to find the most similar items and users in each cluster of items which can improve the scalability of the recommendation method.

  • To improve the sparsity and scalability.

  • To recommended a quality itemsets.

Aim & Objectives
  • To improve the sparsity and scalability.

  • To recommended a quality itemsets.

  • This work enhances to consider other clustering methods especially clustering ensembles methods to be incorporated into the proposed recommendation method.

Contribution
  • This work enhances to consider other clustering methods especially clustering ensembles methods to be incorporated into the proposed recommendation method.

  • 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.

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