Work place: University College of Engineering, BIT Campus, Anna University, India
E-mail: sathyadevi.2008@gmail.com
Website:
Research Interests: Computer Science & Information Technology, Applied computer science, Computer systems and computational processes, Theoretical Computer Science
Biography
Dr. S.Sathiya Devi Ph.D., working as Assistant Professor in University College of Engineering, BIT Campus,Anna University,India. Having vast experience in the field of Computer Science and published many research articles
By Sathiya Devi S Parthasarathy G
DOI: https://doi.org/10.5815/ijieeb.2019.06.04, Pub. Date: 8 Nov. 2019
The buying behavior of the consumer is grown nowadays through recommender systems. Though it recommends, still there are limitations to give a recommendation to the users. In order to address data sparsity and scalability, a hybrid approach is developed for the effective recommendation in this paper. It combines the feature engineering attributes and collaborative filtering for prediction. The proposed system implemented using supervised learning algorithms. The results empirically proved that the mean absolute error of prediction was reduced. This approach shows very promising results.
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