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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...

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Main Authors: Yu, Jing, Lu, Zhixing, Li, Xianghua, Wu, Bin, Zhang, Shunli, Cui, Zongmin
Format: Article
Language:English
Published: Universitatea Agora 2024
Online Access:http://psasir.upm.edu.my/id/eprint/114942/1/114942.pdf
http://psasir.upm.edu.my/id/eprint/114942/
https://univagora.ro/jour/index.php/ijccc/article/view/6658
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spelling my.upm.eprints.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
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
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.
format Article
author Yu, Jing
Lu, Zhixing
Li, Xianghua
Wu, Bin
Zhang, Shunli
Cui, Zongmin
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
author_facet Yu, Jing
Lu, Zhixing
Li, Xianghua
Wu, Bin
Zhang, Shunli
Cui, Zongmin
author_sort Yu, Jing
title 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_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_sort topic recommendation control method based on topic relevancy and r-tree index
publisher Universitatea Agora
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/114942/1/114942.pdf
http://psasir.upm.edu.my/id/eprint/114942/
https://univagora.ro/jour/index.php/ijccc/article/view/6658
_version_ 1825162402747908096
score 13.244413

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