Recommendation System
| dc.contributor.author | Ibad Ahmad (SP18- BCS-159). Haseeb Yaseen (SP18- BCS-0470, Wahaj Hafeez(SP18- BCS-007) | |
| dc.contributor.author | LHR TP 8023 | |
| dc.contributor.author | Kanza Hamid | |
| dc.date.accessioned | 2026-02-16T06:32:17Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Our project is a generic recommendation system, which will be varying and adopting in the environment with the passage of time. In this project, our aim is to provide an online recommendation system service, which people can use to make their experience a lot better on contrary to their experience with some other service. To find a correct, low budget orientated and location friendly service is very important and required for users but it’s not a cake walk today as there are plenty of sources which are not among those which can be reliable. As of now, lot of recommendation systems are not able to suggest users an appropriate place that map their needs. Information mismatch have a great negative impact on such recommendation system predictions. To make a customised recommended application for imparting beneficial and powerful on line services, we want mass reviews and updated data from online databases | |
| dc.identifier.uri | https://repository.cuilahore.edu.pk/handle/123456789/1676 | |
| dc.publisher | Library Information Services, COMSATS University Islamabad, Lahore Campus | |
| dc.relation.ispartofseries | LHR TP 8023 | |
| dc.subject | Kanza Hamid | |
| dc.subject | sp18 | |
| dc.subject | Department of Computer Science | |
| dc.subject | Software Engineering | |
| dc.subject | TECHNOLOGY::Information technology::Computer science::Software engineering | |
| dc.title | Recommendation System | |
| dc.type | Thesis |