DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-6,Issue-9 ( Sep, 2019 ) | |||||||||
Paper Title |
Survey on Web usage Mining based Intelligent Recommender System | |||||||||
Author Name |
Eshetu Tesfaye, Pooja Y | |||||||||
Affilition |
M. Tech (Software Engineering), Computer science and Engineering, Sharda Univeristy, Greator Noida, India Associate Professor, Computer Science and Engineering, Sharda University, Greater Noida, India | |||||||||
Pages |
80-86 | |||||||||
Abstract |
A recommendation system is software which supports customers by an illustrated way to recommend products and provide recommendations about the merchandise he or she interested in. In E-commerce, recommender system suggests products for the users intelligently by helping users to select their favorite items based on their past information. This paper examines the latest papers researched in the area of e-commerce and identifies the drawbacks and future work of the reviewed papers. In the end, the research gap of the study is prepared in the form of a table for output which will help the researchers and easily insights them when they are looking to do their research on the field of recommender system commonly for E-commerce domain. Keywords - Recommendation System, Intelligent Techniques, Web Usage Mining, E-Commerce | |||||||||
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