Popularity based product rating system using Bayesian model
| dc.contributor.advisor | ||
| dc.contributor.advisor | ||
| dc.contributor.author | Khatri, Ajay | |
| dc.contributor.supervisor | Gebali, Fayez | |
| dc.date.accessioned | 2017-08-09T17:41:20Z | |
| dc.date.available | 2017-08-09T17:41:20Z | |
| dc.date.copyright | 2017 | en_US |
| dc.date.issued | 2017-08-09 | |
| dc.degree.department | Department of Electrical and Computer Engineering | |
| dc.degree.level | Master of Engineering M.Eng. | en_US |
| dc.description.abstract | Rating of products is an extremely important feature offered by most of the e-commerce websites. This project involves combining the popularity and average rating of a given product to develop a new strategy for 5 star product rating system. The purpose of this new product rating system is to allow some amount of weight to number of total votes given to a product. | |
| dc.description.scholarlevel | Graduate | en_US |
| dc.identifier.uri | http://hdl.handle.net/1828/8414 | |
| dc.language.iso | en | en_US |
| dc.rights | Available to the World Wide Web | en_US |
| dc.title | Popularity based product rating system using Bayesian model | en_US |
| dc.type | project | en_US |