A topic recommendation control method based on topic relevancy and R-tree index
Topic recommendation control aims to suggest relevant topics to users based on their preferences and regional trends. However, existing methods often lack effective measures to evaluate topic-user relevancy and require comparing large amounts of regional information, leading to low accuracy and effi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitatea Agora
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/114942/ http://psasir.upm.edu.my/id/eprint/114942/1/114942.pdf |
| _version_ | 1848866641031462912 |
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| author | Yu, Jing Lu, Zhixing Li, Xianghua Wu, Bin Zhang, Shunli Cui, Zongmin |
| author_facet | Yu, Jing Lu, Zhixing Li, Xianghua Wu, Bin Zhang, Shunli Cui, Zongmin |
| author_sort | Yu, Jing |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Topic recommendation control aims to suggest relevant topics to users based on their preferences and regional trends. However, existing methods often lack effective measures to evaluate topic-user relevancy and require comparing large amounts of regional information, leading to low accuracy and efficiency. Therefore, we propose a Topic Recommendation Control method based on topic Relevancy and R-tree index (named as TRCRR) to address these limitations. TRCRR introduces a novel personalized topic relevancy metric that quantifies the relevancy between topics and user preferences. To improve efficiency, an R-tree topic index is constructed to organize topics across different regions hierarchically. Experiments on a real-world dataset show that TRCRR achieves better recommendation accuracy and efficiency compared to several baseline methods. The proposed approach offers a promising solution for personalized and region-aware topic recommendation. |
| first_indexed | 2025-11-15T14:23:49Z |
| format | Article |
| id | upm-114942 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:23:49Z |
| publishDate | 2024 |
| publisher | Universitatea Agora |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1149422025-02-12T05:12:35Z http://psasir.upm.edu.my/id/eprint/114942/ A topic recommendation control method based on topic relevancy and R-tree index Yu, Jing Lu, Zhixing Li, Xianghua Wu, Bin Zhang, Shunli Cui, Zongmin Topic recommendation control aims to suggest relevant topics to users based on their preferences and regional trends. However, existing methods often lack effective measures to evaluate topic-user relevancy and require comparing large amounts of regional information, leading to low accuracy and efficiency. Therefore, we propose a Topic Recommendation Control method based on topic Relevancy and R-tree index (named as TRCRR) to address these limitations. TRCRR introduces a novel personalized topic relevancy metric that quantifies the relevancy between topics and user preferences. To improve efficiency, an R-tree topic index is constructed to organize topics across different regions hierarchically. Experiments on a real-world dataset show that TRCRR achieves better recommendation accuracy and efficiency compared to several baseline methods. The proposed approach offers a promising solution for personalized and region-aware topic recommendation. Universitatea Agora 2024-09-02 Article PeerReviewed text en cc_by_nc_nd_4 http://psasir.upm.edu.my/id/eprint/114942/1/114942.pdf Yu, Jing and Lu, Zhixing and Li, Xianghua and Wu, Bin and Zhang, Shunli and Cui, Zongmin (2024) A topic recommendation control method based on topic relevancy and R-tree index. International Journal of Computers, Communications and Control, 19 (5). art. no. 6658. pp. 1-17. ISSN 1841-9836; eISSN: 1841-9844 https://univagora.ro/jour/index.php/ijccc/article/view/6658 10.15837/ijccc.2024.5.6658 |
| spellingShingle | Yu, Jing Lu, Zhixing Li, Xianghua Wu, Bin Zhang, Shunli Cui, Zongmin A topic recommendation control method based on topic relevancy and R-tree index |
| title | A topic recommendation control method based on topic relevancy and R-tree index |
| title_full | A topic recommendation control method based on topic relevancy and R-tree index |
| title_fullStr | A topic recommendation control method based on topic relevancy and R-tree index |
| title_full_unstemmed | A topic recommendation control method based on topic relevancy and R-tree index |
| title_short | A topic recommendation control method based on topic relevancy and R-tree index |
| title_sort | topic recommendation control method based on topic relevancy and r-tree index |
| url | http://psasir.upm.edu.my/id/eprint/114942/ http://psasir.upm.edu.my/id/eprint/114942/ http://psasir.upm.edu.my/id/eprint/114942/ http://psasir.upm.edu.my/id/eprint/114942/1/114942.pdf |