Intelligent Mobile Maid Matching Using Similarity Search
Intelligent Mobile Maid Matching using Similarity Search is a mobile application that allows maid seekers to search for an ideal maid by provide the maid matching function using similarity measures. The purpose of having this idea is because nowadays the maid seekers are lacked of a useful platform...
| Main Author: | |
|---|---|
| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2020
|
| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/4087/ http://eprints.utar.edu.my/4087/1/1605053_FYP_Report_%2D_SHU_XIAN_ONG.pdf |
| _version_ | 1848886072800444416 |
|---|---|
| author | Ong, Shu Xian |
| author_facet | Ong, Shu Xian |
| author_sort | Ong, Shu Xian |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | Intelligent Mobile Maid Matching using Similarity Search is a mobile application that allows maid seekers to search for an ideal maid by provide the maid matching function using similarity measures. The purpose of having this idea is because nowadays the maid seekers are lacked of a useful platform to find a quality maid. Moreover, all the applications that had been reviewed are using a simple matching method to search for maids. Thus, when performing searching, the result is very limited, especially when a user searches maids with more preferences. This application developed in this project is only available in Android Platform. Firebase is used as the application database that connects with a real-time database and allows user authentication process. The system development methodology used for this project is the Prototyping model. Therefore, the application can adapt to the environment changes when implementing the application. Functions of the application are implemented according to the result of the questionnaire. In this project, similarity measures such as Euclidean distance, Manhattan distance, Minkowski distance, Jaccard coefficient and cosine similarity will be studied. The most suitable method will be tested through usability testing to find out which method is closest to the ideal maid of maid seekers. According to the result of usability testing, the similarity measure that applied to the searching function is Jaccard Coefficient. This application is developed successfully and pass all the testing. In a nutshell, this project is a successful project that has achieved all the project’s objectives. |
| first_indexed | 2025-11-15T19:32:41Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-4087 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:32:41Z |
| publishDate | 2020 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-40872021-06-11T19:31:19Z Intelligent Mobile Maid Matching Using Similarity Search Ong, Shu Xian QA76 Computer software Intelligent Mobile Maid Matching using Similarity Search is a mobile application that allows maid seekers to search for an ideal maid by provide the maid matching function using similarity measures. The purpose of having this idea is because nowadays the maid seekers are lacked of a useful platform to find a quality maid. Moreover, all the applications that had been reviewed are using a simple matching method to search for maids. Thus, when performing searching, the result is very limited, especially when a user searches maids with more preferences. This application developed in this project is only available in Android Platform. Firebase is used as the application database that connects with a real-time database and allows user authentication process. The system development methodology used for this project is the Prototyping model. Therefore, the application can adapt to the environment changes when implementing the application. Functions of the application are implemented according to the result of the questionnaire. In this project, similarity measures such as Euclidean distance, Manhattan distance, Minkowski distance, Jaccard coefficient and cosine similarity will be studied. The most suitable method will be tested through usability testing to find out which method is closest to the ideal maid of maid seekers. According to the result of usability testing, the similarity measure that applied to the searching function is Jaccard Coefficient. This application is developed successfully and pass all the testing. In a nutshell, this project is a successful project that has achieved all the project’s objectives. 2020 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4087/1/1605053_FYP_Report_%2D_SHU_XIAN_ONG.pdf Ong, Shu Xian (2020) Intelligent Mobile Maid Matching Using Similarity Search. Final Year Project, UTAR. http://eprints.utar.edu.my/4087/ |
| spellingShingle | QA76 Computer software Ong, Shu Xian Intelligent Mobile Maid Matching Using Similarity Search |
| title | Intelligent Mobile Maid Matching Using Similarity Search |
| title_full | Intelligent Mobile Maid Matching Using Similarity Search |
| title_fullStr | Intelligent Mobile Maid Matching Using Similarity Search |
| title_full_unstemmed | Intelligent Mobile Maid Matching Using Similarity Search |
| title_short | Intelligent Mobile Maid Matching Using Similarity Search |
| title_sort | intelligent mobile maid matching using similarity search |
| topic | QA76 Computer software |
| url | http://eprints.utar.edu.my/4087/ http://eprints.utar.edu.my/4087/1/1605053_FYP_Report_%2D_SHU_XIAN_ONG.pdf |