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

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dc.contributor.author Valarmathi, B.
dc.contributor.author Pandit, Kavish A.
dc.contributor.author Pyla, Charan Kumar
dc.contributor.author Chellatamilan, Thiyagarajan
dc.contributor.author Yahya, Abid
dc.date.accessioned 2020-08-17T12:26:51Z
dc.date.available 2020-08-17T12:26:51Z
dc.date.issued 2019-06
dc.identifier.citation Valarmathi, B. et al (2019). Classification of e-commerce online auctions and prediction of seller reputation. In Jamisola, Rodrigo S. Jr (ed.) BIUST Research and Innovation Symposium 2019 (RDAIS 2019); 1 (1) 65-70. en_US
dc.identifier.issn 2521-2292
dc.identifier.uri http://repository.biust.ac.bw/handle/123456789/158
dc.description.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. en_US
dc.description.sponsorship en_US
dc.language.iso en en_US
dc.publisher Botswana International University of Science and Technology en_US
dc.subject Auction en_US
dc.subject Multinomial Naive Bayes en_US
dc.subject SVD en_US
dc.subject E-commerce en_US
dc.subject Reputation system en_US
dc.title Classification of e-commerce online auctions and prediction of seller reputation en_US
dc.description.level phd en_US
dc.description.accessibility unrestricted en_US
dc.description.department cte en_US


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