A recommender system for university modules based on graph database technologies
Recommender systems has become ubiquitous in multiple domains, most notably in e-commerce and other Internet-based businesses where users can have access to multiple different choices. Graph databases which started as a way to model and store data as graphs has increasingly become the tool of choice...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/172311 |
| _version_ | 1826125797250826240 |
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| author | Koh, Jun Jie |
| author2 | Long Cheng |
| author_facet | Long Cheng Koh, Jun Jie |
| author_sort | Koh, Jun Jie |
| collection | NTU |
| description | Recommender systems has become ubiquitous in multiple domains, most notably in e-commerce and other Internet-based businesses where users can have access to multiple different choices. Graph databases which started as a way to model and store data as graphs has increasingly become the tool of choice to model and analyze highly connected data to find hidden relationships among data and draw insights from it. Recommender systems have been implemented using graph databases but there have not been any implementations specifically targeting the recommendation of university modules for undergraduate students. Thus, this project aims to implement a personalized recommender system for university modules using graph database technologies. The project will focus on recommending modules at the Nanyang Technological University (NTU) to NTU's undergraduate students. |
| first_indexed | 2024-10-01T06:42:34Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/172311 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:42:34Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1723112023-12-15T15:38:20Z A recommender system for university modules based on graph database technologies Koh, Jun Jie Long Cheng School of Computer Science and Engineering c.long@ntu.edu.sg Engineering::Computer science and engineering::Information systems::Database management Engineering::Computer science and engineering::Information systems::Information systems applications Engineering::Computer science and engineering::Information systems::Information storage and retrieval Recommender systems has become ubiquitous in multiple domains, most notably in e-commerce and other Internet-based businesses where users can have access to multiple different choices. Graph databases which started as a way to model and store data as graphs has increasingly become the tool of choice to model and analyze highly connected data to find hidden relationships among data and draw insights from it. Recommender systems have been implemented using graph databases but there have not been any implementations specifically targeting the recommendation of university modules for undergraduate students. Thus, this project aims to implement a personalized recommender system for university modules using graph database technologies. The project will focus on recommending modules at the Nanyang Technological University (NTU) to NTU's undergraduate students. Bachelor of Engineering (Computer Science) 2023-12-06T02:47:51Z 2023-12-06T02:47:51Z 2023 Final Year Project (FYP) Koh, J. J. (2023). A recommender system for university modules based on graph database technologies. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/172311 https://hdl.handle.net/10356/172311 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Information systems::Database management Engineering::Computer science and engineering::Information systems::Information systems applications Engineering::Computer science and engineering::Information systems::Information storage and retrieval Koh, Jun Jie A recommender system for university modules based on graph database technologies |
| title | A recommender system for university modules based on graph database technologies |
| title_full | A recommender system for university modules based on graph database technologies |
| title_fullStr | A recommender system for university modules based on graph database technologies |
| title_full_unstemmed | A recommender system for university modules based on graph database technologies |
| title_short | A recommender system for university modules based on graph database technologies |
| title_sort | recommender system for university modules based on graph database technologies |
| topic | Engineering::Computer science and engineering::Information systems::Database management Engineering::Computer science and engineering::Information systems::Information systems applications Engineering::Computer science and engineering::Information systems::Information storage and retrieval |
| url | https://hdl.handle.net/10356/172311 |
| work_keys_str_mv | AT kohjunjie arecommendersystemforuniversitymodulesbasedongraphdatabasetechnologies AT kohjunjie recommendersystemforuniversitymodulesbasedongraphdatabasetechnologies |