Main Reference PaperPersonalized Market Basket Prediction with Temporal Annotated Recurring Sequences, IEEE Transactions on Knowledge and Data Engineering, 2018 [Java/Python/R]
  • The personalized basket prediction system proposed to recommend the list of items for the user. Initially, it extracts the Temporal Annotated Recurring Sequences (TARS) from the purchasing history of the customer. Then, it exploits the TARS Based Predictor (TBP) to predict the Forthcoming basket.

+ Description
  • The personalized basket prediction system proposed to recommend the list of items for the user. Initially, it extracts the Temporal Annotated Recurring Sequences (TARS) from the purchasing history of the customer. Then, it exploits the TARS Based Predictor (TBP) to predict the Forthcoming basket.

  • To ensure the personalized next bucket forecasting

  • To recommend the items to customers based on their needs

+ Aim & Objectives
  • To ensure the personalized next bucket forecasting

  • To recommend the items to customers based on their needs

  • To analyze the features of the existing suggestion list products with the new products’ features assists in enhancing the prediction quality.

+ Contribution
  • To analyze the features of the existing suggestion list products with the new products’ features assists in enhancing the prediction quality.

  • 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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