The use of knowledge graph for recommendation explanation
This research paper proposes an approach for explainable recommendation systems that incorporates both knowledge graphs and curiosity-driven exploration. It utilises a knowledge graph to provide transparent and intuitive explanations for recommendations, while also incorporating curiosity-driven exp...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/166703 |
| _version_ | 1826129995556192256 |
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| author | Yap, Desmond Qing Yang |
| author2 | Fan Xiuyi |
| author_facet | Fan Xiuyi Yap, Desmond Qing Yang |
| author_sort | Yap, Desmond Qing Yang |
| collection | NTU |
| description | This research paper proposes an approach for explainable recommendation systems that incorporates both knowledge graphs and curiosity-driven exploration. It utilises a knowledge graph to provide transparent and intuitive explanations for recommendations, while also incorporating curiosity-driven exploration to encourage users to discover novel and interesting items.
The system employs a knowledge graph that stores structured information about items and user pairs to provide explanations for the recommendations. The knowledge graph is integrated with a recommendation algorithm that uses a hybrid approach of content-based filtering and collaborative filtering to make recommendations while also incorporating a curiosity-driven exploration by suggesting items that are less popular but might be of interest to the user.
In conclusion, this research paper demonstrates the potential of integrating recommendation systems with knowledge graphs and curiosity-driven exploration for explainable recommendations. The proposed approach provides a transparent and comprehensive way for users to discover new and interesting items, which is of great importance for many applications. |
| first_indexed | 2024-10-01T07:49:19Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/166703 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:49:19Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1667032023-05-12T15:37:03Z The use of knowledge graph for recommendation explanation Yap, Desmond Qing Yang Fan Xiuyi School of Computer Science and Engineering xyfan@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence This research paper proposes an approach for explainable recommendation systems that incorporates both knowledge graphs and curiosity-driven exploration. It utilises a knowledge graph to provide transparent and intuitive explanations for recommendations, while also incorporating curiosity-driven exploration to encourage users to discover novel and interesting items. The system employs a knowledge graph that stores structured information about items and user pairs to provide explanations for the recommendations. The knowledge graph is integrated with a recommendation algorithm that uses a hybrid approach of content-based filtering and collaborative filtering to make recommendations while also incorporating a curiosity-driven exploration by suggesting items that are less popular but might be of interest to the user. In conclusion, this research paper demonstrates the potential of integrating recommendation systems with knowledge graphs and curiosity-driven exploration for explainable recommendations. The proposed approach provides a transparent and comprehensive way for users to discover new and interesting items, which is of great importance for many applications. Bachelor of Engineering (Computer Science) 2023-05-09T07:56:31Z 2023-05-09T07:56:31Z 2023 Final Year Project (FYP) Yap, D. Q. Y. (2023). The use of knowledge graph for recommendation explanation. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166703 https://hdl.handle.net/10356/166703 en SCSE22-0517 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Yap, Desmond Qing Yang The use of knowledge graph for recommendation explanation |
| title | The use of knowledge graph for recommendation explanation |
| title_full | The use of knowledge graph for recommendation explanation |
| title_fullStr | The use of knowledge graph for recommendation explanation |
| title_full_unstemmed | The use of knowledge graph for recommendation explanation |
| title_short | The use of knowledge graph for recommendation explanation |
| title_sort | use of knowledge graph for recommendation explanation |
| topic | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | https://hdl.handle.net/10356/166703 |
| work_keys_str_mv | AT yapdesmondqingyang theuseofknowledgegraphforrecommendationexplanation AT yapdesmondqingyang useofknowledgegraphforrecommendationexplanation |