Recommendation system for matching resumes to job
| dc.contributor.advisor | Abdelhaq, Hamid | |
| dc.contributor.author | Dwekat, Ahmad | |
| dc.contributor.author | Abd Albaqi, Asim | |
| dc.contributor.author | Abu Esheh, Ersan | |
| dc.date.accessioned | 2020-06-02T11:38:52Z | |
| dc.date.available | 2020-06-02T11:38:52Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | Nowadays, the demands on recommendation system are getting increase quickly, like recommendation for movies, books, and restaurants. In our project the recommendation will be for jobs. The aim of our project is to get prediction for job by match it with its relative resumes vice versa. We work on data retrieval using TFIDF to get top key words from files and use them in elastic search to get related jobs or resumes ‘CVS’. This approach aims to reduce the amount of data that will enter the collaborative filtering to make the algorithm more scalable and accurate. By using this approach without content-based collaborative filtering we were able to get prediction and retrieve the most accurate data. | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.11888/14957 | |
| dc.title | Recommendation system for matching resumes to job | en_US |
| dc.type | Graduation Project | en_US |
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