Main Reference PaperWebpage Depth Viewability Prediction using Deep Sequential Neural Networks, IEEE Transactions on Knowledge and Data Engineering, 2018 [R]
  • The proposed method exploits Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN) for predicting the viewability of the ad. It resolves the sequence prediction issue through the analysis of page depth based on the dwell time.

Description
  • The proposed method exploits Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN) for predicting the viewability of the ad. It resolves the sequence prediction issue through the analysis of page depth based on the dwell time.

  • To predict the viewability of advertisement based on the dwell time

  • To improve the revenue of the ad publisher through the deep learning method

Aim & Objectives
  • To predict the viewability of advertisement based on the dwell time

  • To improve the revenue of the ad publisher through the deep learning method

  • The contribute the system with the technique to obtain the faster operation

Contribution
  • The contribute the system with the technique to obtain the faster operation

  • 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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