Review of effective integration with high cost utility and group analysis notification based best product identification using big data
J. Refonaa Rayan, M. Revanth, Ratnapu Kiran, B. Baron Sam · 2017 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC) · 2017
The system that were present already is using Content based, Collaborative Filtering Hybrid. But the problem is we could not come up proper stability with this Recommendation process. In system that is going to be proposed on this the paper insist on the cold start recommendation system, user input in social media is considered as the recommendation and the products are then after recommended to the public users. In the modification part, apart from the proposed system, User recommendations are accepted only after successful authentication of the Transaction ID and OTP to the user along with the Product details. We use SVM for processing the user Feed backs. This process ensures that only authenticated person can give the recommendations to friends. We cluster Group of same Product and recommend others based on group notification if new purchase is made within the Group. Vulgar Words Reviews are filtered and Alerted to the other Users.