Category Theory-Based Mobile User Interface Pattern Recommendation Method
Although using the mobile user interface pattern (MUIP) can increase the efficiency and quality of mobile interface development, the existing pattern search methods have some limitations to provide appropriate patterns for solving a given design problem. In order to find the appropriate patterns, a...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8585003/ |
| _version_ | 1818323588680253440 |
|---|---|
| author | Wei Jia Qingyi Hua Minjun Zhang Bo Wang Rui Chen Xiang Ji |
| author_facet | Wei Jia Qingyi Hua Minjun Zhang Bo Wang Rui Chen Xiang Ji |
| author_sort | Wei Jia |
| collection | DOAJ |
| description | Although using the mobile user interface pattern (MUIP) can increase the efficiency and quality of mobile interface development, the existing pattern search methods have some limitations to provide appropriate patterns for solving a given design problem. In order to find the appropriate patterns, a category theory-based MUIP recommendation (CTR) method is proposed in this paper. First, the MUIP search is represented with a categorical structure so that the design problem can combine with the hierarchical structural MUIP repository closely. Then, to extract more accurate requirement information from the design problem, we present a question-based information extraction method that combines the general architecture for text engineering framework and category theory to extract the design goal, context, and level from the design problem. Finally, based on the categorical structure, we adopt a corresponding search strategy to find MUIPs according to the type of design problem. Some experiments are conducted to evaluate the performance of CTR. The experimental results show that the CTR can provide a high performance in terms of accuracy and ranking when compared with the existing methods. |
| first_indexed | 2024-12-13T11:15:05Z |
| format | Article |
| id | doaj.art-70b44a7afa44423685fa43c4eb23ee37 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T11:15:05Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-70b44a7afa44423685fa43c4eb23ee372022-12-21T23:48:38ZengIEEEIEEE Access2169-35362019-01-0178209822510.1109/ACCESS.2018.28891898585003Category Theory-Based Mobile User Interface Pattern Recommendation MethodWei Jia0https://orcid.org/0000-0002-3170-8269Qingyi Hua1Minjun Zhang2Bo Wang3Rui Chen4https://orcid.org/0000-0003-1169-7678Xiang Ji5School of Information Science and Technology, Northwest University, Xi’an, ChinaSchool of Information Science and Technology, Northwest University, Xi’an, ChinaSchool of Information Science and Technology, Northwest University, Xi’an, ChinaSchool of Information Science and Technology, Northwest University, Xi’an, ChinaSchool of Information Science and Technology, Northwest University, Xi’an, ChinaSchool of Information Science and Technology, Northwest University, Xi’an, ChinaAlthough using the mobile user interface pattern (MUIP) can increase the efficiency and quality of mobile interface development, the existing pattern search methods have some limitations to provide appropriate patterns for solving a given design problem. In order to find the appropriate patterns, a category theory-based MUIP recommendation (CTR) method is proposed in this paper. First, the MUIP search is represented with a categorical structure so that the design problem can combine with the hierarchical structural MUIP repository closely. Then, to extract more accurate requirement information from the design problem, we present a question-based information extraction method that combines the general architecture for text engineering framework and category theory to extract the design goal, context, and level from the design problem. Finally, based on the categorical structure, we adopt a corresponding search strategy to find MUIPs according to the type of design problem. Some experiments are conducted to evaluate the performance of CTR. The experimental results show that the CTR can provide a high performance in terms of accuracy and ranking when compared with the existing methods.https://ieeexplore.ieee.org/document/8585003/Mobile interface developmentmobile user interface patternrecommendation methodcategory theoryinformation extractioncategorical representation |
| spellingShingle | Wei Jia Qingyi Hua Minjun Zhang Bo Wang Rui Chen Xiang Ji Category Theory-Based Mobile User Interface Pattern Recommendation Method IEEE Access Mobile interface development mobile user interface pattern recommendation method category theory information extraction categorical representation |
| title | Category Theory-Based Mobile User Interface Pattern Recommendation Method |
| title_full | Category Theory-Based Mobile User Interface Pattern Recommendation Method |
| title_fullStr | Category Theory-Based Mobile User Interface Pattern Recommendation Method |
| title_full_unstemmed | Category Theory-Based Mobile User Interface Pattern Recommendation Method |
| title_short | Category Theory-Based Mobile User Interface Pattern Recommendation Method |
| title_sort | category theory based mobile user interface pattern recommendation method |
| topic | Mobile interface development mobile user interface pattern recommendation method category theory information extraction categorical representation |
| url | https://ieeexplore.ieee.org/document/8585003/ |
| work_keys_str_mv | AT weijia categorytheorybasedmobileuserinterfacepatternrecommendationmethod AT qingyihua categorytheorybasedmobileuserinterfacepatternrecommendationmethod AT minjunzhang categorytheorybasedmobileuserinterfacepatternrecommendationmethod AT bowang categorytheorybasedmobileuserinterfacepatternrecommendationmethod AT ruichen categorytheorybasedmobileuserinterfacepatternrecommendationmethod AT xiangji categorytheorybasedmobileuserinterfacepatternrecommendationmethod |