Mobile Application Search: A QoS-Aware and Tag-Based Approach
The availability of enormous numbers of mobile applications (apps) is driving demand for the means to search for,recommend, and manage apps. Existing search engines provide basic search functionalities that enable users to find appsby issuing query keywords; however, the ranking of search results do...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2015-06-01
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| Series: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/inis.2.4.e6 |
| _version_ | 1819238197156118528 |
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| author | Shang-Pin Ma Shin-Jie Lee Wen-Tin Lee Jing-Hong Lin Jui-Hsaing Lin |
| author_facet | Shang-Pin Ma Shin-Jie Lee Wen-Tin Lee Jing-Hong Lin Jui-Hsaing Lin |
| author_sort | Shang-Pin Ma |
| collection | DOAJ |
| description | The availability of enormous numbers of mobile applications (apps) is driving demand for the means to search for,recommend, and manage apps. Existing search engines provide basic search functionalities that enable users to find appsby issuing query keywords; however, the ranking of search results does not always satisfy the expectations of users. Thisstudy proposes a novel approach to address this issue, called Tag-based and QoS-aware Mobile Application Search andManagement (TQMASM). The proposed system provides two functionalities: (1) QoS-aware app search and tag-basedapp recommendation; and (2) tag-based app management. QoS-aware app search is an objective means of sorting searchresults by considering QoS (Quality of Service) factors, popularity, and reputation. Tag-based recommendation is used tofind apps according to tags annotated by all users. Tag-based management utilizes an hierarchical tree and tag annotationto facilitate the management and usage of apps. A prototype realization of TQMASM was developed to evaluate thefeasibility of the proposed approach. Experiment results demonstrate the efficacy of the proposed system in providing asatisfactory ranking of retrieved apps. |
| first_indexed | 2024-12-23T13:32:24Z |
| format | Article |
| id | doaj.art-e230f53363bf47478c6c59d0c9ff85ef |
| institution | Directory Open Access Journal |
| issn | 2410-0218 |
| language | English |
| last_indexed | 2024-12-23T13:32:24Z |
| publishDate | 2015-06-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| spelling | doaj.art-e230f53363bf47478c6c59d0c9ff85ef2022-12-21T17:45:07ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Industrial Networks and Intelligent Systems2410-02182015-06-012410.4108/inis.2.4.e6Mobile Application Search: A QoS-Aware and Tag-Based ApproachShang-Pin Ma0Shin-Jie Lee1Wen-Tin Lee2Jing-Hong Lin3Jui-Hsaing Lin4Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, TaiwanDepartment of Computer Science and Information Engineering, National Cheng Kung University, Tainan, TaiwanDepartment of Software Engineering, National Kaohsiung Normal University, Kaohsiung, TaiwanDepartment of Computer Science and Engineering, National Taiwan Ocean University, Keelung, TaiwanDepartment of Computer Science and Engineering, National Taiwan Ocean University, Keelung, TaiwanThe availability of enormous numbers of mobile applications (apps) is driving demand for the means to search for,recommend, and manage apps. Existing search engines provide basic search functionalities that enable users to find appsby issuing query keywords; however, the ranking of search results does not always satisfy the expectations of users. Thisstudy proposes a novel approach to address this issue, called Tag-based and QoS-aware Mobile Application Search andManagement (TQMASM). The proposed system provides two functionalities: (1) QoS-aware app search and tag-basedapp recommendation; and (2) tag-based app management. QoS-aware app search is an objective means of sorting searchresults by considering QoS (Quality of Service) factors, popularity, and reputation. Tag-based recommendation is used tofind apps according to tags annotated by all users. Tag-based management utilizes an hierarchical tree and tag annotationto facilitate the management and usage of apps. A prototype realization of TQMASM was developed to evaluate thefeasibility of the proposed approach. Experiment results demonstrate the efficacy of the proposed system in providing asatisfactory ranking of retrieved apps.https://eudl.eu/pdf/10.4108/inis.2.4.e6app searchapp recommendationapp managementquality of service (qos)social tag |
| spellingShingle | Shang-Pin Ma Shin-Jie Lee Wen-Tin Lee Jing-Hong Lin Jui-Hsaing Lin Mobile Application Search: A QoS-Aware and Tag-Based Approach EAI Endorsed Transactions on Industrial Networks and Intelligent Systems app search app recommendation app management quality of service (qos) social tag |
| title | Mobile Application Search: A QoS-Aware and Tag-Based Approach |
| title_full | Mobile Application Search: A QoS-Aware and Tag-Based Approach |
| title_fullStr | Mobile Application Search: A QoS-Aware and Tag-Based Approach |
| title_full_unstemmed | Mobile Application Search: A QoS-Aware and Tag-Based Approach |
| title_short | Mobile Application Search: A QoS-Aware and Tag-Based Approach |
| title_sort | mobile application search a qos aware and tag based approach |
| topic | app search app recommendation app management quality of service (qos) social tag |
| url | https://eudl.eu/pdf/10.4108/inis.2.4.e6 |
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