Prediction of product rating based on user reviews
International Journal of Development Research
Prediction of product rating based on user reviews
Received 14th October, 2020; Received in revised form 29th November, 2020; Accepted 11th December, 2020; Published online 30th January, 2021
Copyright © 2021, Dr B V Subba Rao and Mr B. Vamsi Krishna, 2021. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Presently a-days from purchasing an item to watch to a film we are relying upon the audits. In times past we used to get some information about the item however now the situation totally changed. As of late, we have seen a twist of survey sites. It presents an extraordinary chance to share our perspectives for different items we buy. In any case, we face the data over-burdening issue. Instructions to mine significant data from surveys to comprehend a client’s inclinations and make an exact proposal are essential. Customary recommender frameworks (RS) think about certain elements, for example, client's buy records, item class, and geographic area.
