Hybrid Exhortation System for e-commerce using Bayesian Algorithm

E-commerce is an online trading system that eases transactions for both sellers and consumers without having to meet in person. The prevalence of e-commerce has increased competition amongst sellers, hence the sellers of e-commerce have to increase their performance, one of them by using regression system. This research develops a system which gives sellers regarding their quantity. In experiment results, it was found that the recommendation has similarity with product description and the quantity with the better mean absolute error and mean squared error