JavaScript is disabled for your browser. Some features of this site may not work without it.
| 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 |
Files in this item
This item appears in the following Collection(s)
-
BIUST Research and Innovation Symposium (RDAIS)
The collection is made up of BIUST Research and Innovation Symposium (RDAIS).