Interactive Multiple-User Location-Based Keyword Queries on Road Networks
As the use of smart mobile devices increases, users can connect and coordinate with local people or events that match their interests through geosocial networking applications. Such applications require techniques that support multiple-user location-based keyword (MULK) query processing, which takes...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8454712/ |
| _version_ | 1818329561590398976 |
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| author | Yong Wang Xiaoran Duan Xiaodong Yang Yiquan Zhang Xiaosong Zhang |
| author_facet | Yong Wang Xiaoran Duan Xiaodong Yang Yiquan Zhang Xiaosong Zhang |
| author_sort | Yong Wang |
| collection | DOAJ |
| description | As the use of smart mobile devices increases, users can connect and coordinate with local people or events that match their interests through geosocial networking applications. Such applications require techniques that support multiple-user location-based keyword (MULK) query processing, which takes a set of geo-locations and a set of keywords as arguments and returns a list of relevant POIs that match the arguments. In geosocial networking, processing this query involves two issues: mining users' individual preferences and indexing road networks. In this paper, we investigate how to mine users' individual preferences by enhancing MULK query processing with interactions, resulting in interactive multiple-user location-based keyword query. Furthermore, we propose a hierarchical road network index structure to support efficient query processing. Finally, we conduct a set of experiments that demonstrate the effectiveness and efficiency of our solutions under various parameter settings. |
| first_indexed | 2024-12-13T12:50:01Z |
| format | Article |
| id | doaj.art-d98cfb73ba164235b999d58ef98ebd90 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T12:50:01Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d98cfb73ba164235b999d58ef98ebd902022-12-21T23:45:21ZengIEEEIEEE Access2169-35362018-01-016514015141810.1109/ACCESS.2018.28687498454712Interactive Multiple-User Location-Based Keyword Queries on Road NetworksYong Wang0https://orcid.org/0000-0002-0422-5691Xiaoran Duan1Xiaodong Yang2Yiquan Zhang3Xiaosong Zhang4Center for CyberSecurity, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaCenter for CyberSecurity, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaCenter for CyberSecurity, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaCenter for CyberSecurity, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaCenter for CyberSecurity, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaAs the use of smart mobile devices increases, users can connect and coordinate with local people or events that match their interests through geosocial networking applications. Such applications require techniques that support multiple-user location-based keyword (MULK) query processing, which takes a set of geo-locations and a set of keywords as arguments and returns a list of relevant POIs that match the arguments. In geosocial networking, processing this query involves two issues: mining users' individual preferences and indexing road networks. In this paper, we investigate how to mine users' individual preferences by enhancing MULK query processing with interactions, resulting in interactive multiple-user location-based keyword query. Furthermore, we propose a hierarchical road network index structure to support efficient query processing. Finally, we conduct a set of experiments that demonstrate the effectiveness and efficiency of our solutions under various parameter settings.https://ieeexplore.ieee.org/document/8454712/Geosocial networkinginformation processinginteractive querykeyword searchlocation-based keyword queryquery processing |
| spellingShingle | Yong Wang Xiaoran Duan Xiaodong Yang Yiquan Zhang Xiaosong Zhang Interactive Multiple-User Location-Based Keyword Queries on Road Networks IEEE Access Geosocial networking information processing interactive query keyword search location-based keyword query query processing |
| title | Interactive Multiple-User Location-Based Keyword Queries on Road Networks |
| title_full | Interactive Multiple-User Location-Based Keyword Queries on Road Networks |
| title_fullStr | Interactive Multiple-User Location-Based Keyword Queries on Road Networks |
| title_full_unstemmed | Interactive Multiple-User Location-Based Keyword Queries on Road Networks |
| title_short | Interactive Multiple-User Location-Based Keyword Queries on Road Networks |
| title_sort | interactive multiple user location based keyword queries on road networks |
| topic | Geosocial networking information processing interactive query keyword search location-based keyword query query processing |
| url | https://ieeexplore.ieee.org/document/8454712/ |
| work_keys_str_mv | AT yongwang interactivemultipleuserlocationbasedkeywordqueriesonroadnetworks AT xiaoranduan interactivemultipleuserlocationbasedkeywordqueriesonroadnetworks AT xiaodongyang interactivemultipleuserlocationbasedkeywordqueriesonroadnetworks AT yiquanzhang interactivemultipleuserlocationbasedkeywordqueriesonroadnetworks AT xiaosongzhang interactivemultipleuserlocationbasedkeywordqueriesonroadnetworks |