Online Match-Making Recommendation using Case Based Reasoning and K-Nearest- Neighbors

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dc.contributor.authorBayaki, Mehrnaz
dc.contributor.supervisorTraore, Issa
dc.date.accessioned2014-11-27T22:26:36Z
dc.date.available2014-11-27T22:26:36Z
dc.date.copyright2014en_US
dc.date.issued2014-11-27
dc.degree.departmentDepartment of Electrical and Computer Engineeringen_US
dc.degree.levelMaster of Engineering M.Eng.en_US
dc.description.abstractIn this project a new approach that uses case-based reasoning (CBR) in match-making for online recommendations is developed. The proposed CBR model uses K-nearest neighbor (KNN) classification for effective and efficient case retrieval. The proposed recommendation system is used to match students with potential employees, based on students’ qualifications and interests, and available projects. The project report outlines the algorithm design, and corresponding architectural model and implementation.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/5736
dc.language.isoenen_US
dc.rights.tempAvailable to the World Wide Weben_US
dc.subjectMatch-Making Recommendationen_US
dc.titleOnline Match-Making Recommendation using Case Based Reasoning and K-Nearest- Neighborsen_US
dc.typeprojecten_US

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