It is widely acknowledged today that E-Commerce business is growing rapidly. This is happened only because of people are completely depending on the ratings and reviews given by the customers who are already purchased and using the products. Online surveys, customer reviews on shopping sites are the key sources to understand customer requirements and feedback to help upgrade the product quality and achieve greater outcomes. Now the challenge is that whether those reviews came from product level or feature level will be the million dollar question. To overcome this problem we are proposing a new algorithm to give feature level rating for the product which is called Feature Level Review Rating Analysis (FLRRA) algorithm.
Raja, Kumar and Pushpa, S
"Feature level review table generation for E-Commerce websites to produce qualitative rating of the products,"
Future Computing and Informatics Journal: Vol. 2
, Article 7.
Available at: https://digitalcommons.aaru.edu.jo/fcij/vol2/iss2/7