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 apps by issuing query keywords; however, the ranking of search results...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2015-06-01
|
| Series: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/inis/article/view/496 |
| _version_ | 1818061499501903872 |
|---|---|
| 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 apps by issuing query keywords; however, the ranking of search results does not always satisfy the expectations of users. This study proposes a novel approach to address this issue, called Tag-based and QoS-aware Mobile Application Search and Management (TQMASM). The proposed system provides two functionalities: (1) QoS-aware app search and tag-based app recommendation; and (2) tag-based app management. QoS-aware app search is an objective means of sorting search results by considering QoS (Quality of Service) factors, popularity, and reputation. Tag-based recommendation is used to find apps according to tags annotated by all users. Tag-based management utilizes an hierarchical tree and tag annotation to facilitate the management and usage of apps. A prototype realization of TQMASM was developed to evaluate the feasibility of the proposed approach. Experiment results demonstrate the efficacy of the proposed system in providing a satisfactory ranking of retrieved apps.
|
| first_indexed | 2024-12-10T13:49:17Z |
| format | Article |
| id | doaj.art-0fe2e19f5df74acaa7088c29dea2bacf |
| institution | Directory Open Access Journal |
| issn | 2410-0218 |
| language | English |
| last_indexed | 2024-12-10T13:49:17Z |
| 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-0fe2e19f5df74acaa7088c29dea2bacf2022-12-22T01:46:17ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Industrial Networks and Intelligent Systems2410-02182015-06-0124Mobile Application Search: A QoS-Aware and Tag-Based ApproachShang-Pin Ma0Shin-Jie Lee1Wen-Tin Lee2Jing-Hong Lin3Jui-Hsaing Lin4National Taiwan Ocean University National Cheng Kung University National Kaohsiung Normal University National Taiwan Ocean University National Taiwan Ocean University 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 apps by issuing query keywords; however, the ranking of search results does not always satisfy the expectations of users. This study proposes a novel approach to address this issue, called Tag-based and QoS-aware Mobile Application Search and Management (TQMASM). The proposed system provides two functionalities: (1) QoS-aware app search and tag-based app recommendation; and (2) tag-based app management. QoS-aware app search is an objective means of sorting search results by considering QoS (Quality of Service) factors, popularity, and reputation. Tag-based recommendation is used to find apps according to tags annotated by all users. Tag-based management utilizes an hierarchical tree and tag annotation to facilitate the management and usage of apps. A prototype realization of TQMASM was developed to evaluate the feasibility of the proposed approach. Experiment results demonstrate the efficacy of the proposed system in providing a satisfactory ranking of retrieved apps. https://publications.eai.eu/index.php/inis/article/view/496App 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://publications.eai.eu/index.php/inis/article/view/496 |
| work_keys_str_mv | AT shangpinma mobileapplicationsearchaqosawareandtagbasedapproach AT shinjielee mobileapplicationsearchaqosawareandtagbasedapproach AT wentinlee mobileapplicationsearchaqosawareandtagbasedapproach AT jinghonglin mobileapplicationsearchaqosawareandtagbasedapproach AT juihsainglin mobileapplicationsearchaqosawareandtagbasedapproach |