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IJSTR >> Volume 9 - Issue 1, January 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Deep Convolution Neural Network With Logistic Regression Based Image Retrieval And Classification Model For Recommendation System

[Full Text]

 

AUTHOR(S)

R.P. Jaia Priyankka, Dr. S. Arivalagan, Dr. P. Sudhakar

 

KEYWORDS

DCNN; Product recommendation; LR; Corpus dataset.

 

ABSTRACT

In recent days, the surplus of e-commerce products poses a severe challenge for customers while looking for a related product details. It results to the development of recommendation system (RS) which has the ability to find out related shopping commodities which fulfils the expectations of the customer. Classification is a machine learning model which assists in the creation of adaptive customer profile, improves scalability and greatly enhances the recommendation accuracy. But, heterogeneity, restricted content examination and high dimensionality of existing e-commerce dataset make it a challenging issue. This study introduces a new deep convolution neural network (DCNN) with logistic regression (LR) called DCNN-LR model for classifying the products. The presented DCNN-LR model comprises several sub processes namely pre-processing, DCNN based feature extraction and LR based classification. The presented model is tested using a Corpus dataset and the attained results showcased the enhanced results under numerous aspects.

 

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