| dc.contributor.author | Hammad Mahmood, 01-134121-025 | |
| dc.contributor.author | Abdullah Mazhar, 01-134121-002 | |
| dc.date.accessioned | 2017-05-23T09:35:27Z | |
| dc.date.available | 2017-05-23T09:35:27Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/999 | |
| dc.description | Supervised by Ms. Mehwish Parvaiz | en_US |
| dc.description.abstract | We have focused on the ranking system used by online product selling websites such as amazon for their searched results. Their search results were based on the number of time positive reviews being given by the visitors to particular product. Those visitors can be real or can be the same user visiting the product again and again just for the sake of fake publicity or an increase in the ranking of the products. This marketing strategy is being used for the non-deserving products to get sold more and more. Our project will serve as a fake review blocker for the product selling sites, so that the deserving product can get their original ranking in search results. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Bahria University Islamabad Campus | en_US |
| dc.relation.ispartofseries | BS (CS);P-5359 | |
| dc.subject | Computer Sciences. | en_US |
| dc.title | Fake Reviews Blocker | en_US |
| dc.type | Project Reports | en_US |