Classification of e-commerce online auctions and prediction of seller reputation

Abstract

Seller reputation plays a vital role in the E commerce market. The significant profit and analysis of the overall giant venture which provides both observable and heterogeneous reputation for the online community sellers. Greater validation and performance outcomes to be provided in the optimal algorithm preferred. The methodology that makes the outcome of a multinominal naïve bayes highly efficient, accurate and also enhances a better understanding in reference to E-commerce market and reputation by using singular value decomposition (SVD) algorithm. Online experiments and empirical studies on the data from an online auction market to show that reputation can generate cut-offs for sellers and to generate the detailed analysis of the reputation systems giving a proper boost to the online e-commerce community.