| dc.contributor.author | 03-135162-041, ZAIN JAHAN | |
| dc.contributor.author | 03-135162-043, TARIQ KHURSHID | |
| dc.date.accessioned | 2024-10-23T08:00:47Z | |
| dc.date.available | 2024-10-23T08:00:47Z | |
| dc.date.issued | 2020-07-20 | |
| dc.identifier.other | BULC591 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/18192 | |
| dc.description.abstract | Many students face problems in finding suitable accommodation after getting admission in university. A Hostel Recommender system that allows users to find hostels as per their requirements. It contains lists of hostels which are added by admins. This application will be collect feedback by students who has already resided or currently residing there. It will calculate that how many student will like their hostels or how many students dislike and show in rating. Our system is recommend hostel to new students and show that this hostel is suitable for you. It helps users to find appropriate hostel rooms at distant places even before visiting. This kind of system reduces student’s problem of accommodation. The best thing about this system is that, it allow users to provide a feedback, rating to hostel about their experience which helps other students. This system is beneficial to students and hostel owners. Hostel owners can also benefit from this system as their reach increases in city. In this system we used collaborative filtering algorithm which are make automatic predictions about a user’s interests by compiling preferences from several users. | en_US |
| dc.description.sponsorship | Supervisor: Dr. Ghulam Mustafa | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | ;BULC591 | |
| dc.title | Hostel Recommender System | en_US |
| dc.type | Project Reports | en_US |