The Study of Mobile Recommendation Service System for Health Information

Autor: YI-SHIANG SHIU, 許翊祥
Rok vydání: 2014
Druh dokumentu: 學位論文 ; thesis
Popis: 102
Nowadays, there is massive information in the networks. In order to help the user to retrieve suitable information fast, researchers develop collaborative filtering recommendation algorithms. Recently, The mobile the equipment is popular, more researchers employ mobile equipment as the platform to offer health information services. Although the development of mobile health information services is gradually popular, over 95% of mobile health information services are not tested and evaluated (Furlow, 2012). The study attempts to develop a Web-based health information recommendation service that was built by PhoneGap software for cross platform. The functions of the health information recommendation service includes: (1). user preference recommendation, (2). recommendation based upon physiologic index. After data collection, the study employs Partial Least Squares (PLS) analysis to confirm influence factors for users’ intention to use the mobile health information recommendation system. The findings of results showed that users are satisfied by the services of recommendation system. User satisfaction is the most important factor to affect users’ intention to use mobile recommendation service for health information. Furthermore, expectation confirmation is the most influence factor for the user satisfaction.
Databáze: Networked Digital Library of Theses & Dissertations