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Development of Hybrid Filtering Recommendation System using Context-Information in Mobile Environments  

Ko, Jung-Min (한성대학교 정보시스템공학과)
Nam, Doo-Hee (한성대학교 정보시스템공학과)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.10, no.3, 2011 , pp. 95-100 More about this Journal
Abstract
Due to rapid growth and development of telecommunication information technology, interest has been amplified regarding ubiquitous network computing and user-oriented service. Also, the rapid development of related technologies has been a big spotlight. Smart phone, with features such as a PC with advanced features is a mobile phone. According to environment and infrastructure development, a variety of mobile-based application software to provide various kinds of information and services has been released. However, most of them are provider-driven information systems and aim to provide large amounts of information simply to an unspecified number of users. Therefore, customized or personalized provision of information and service explained earlier for individual users has been hardly come true. According to background and need, this study wants to design and implement recommendations system for personalization and customization in mobile environments. To acquire more accurate recommendation results, recommendation system shall be composed using the Hybrid Filtering. Effective information recommendation according to user's situation by using user's context-information of purpose and location that are available in mobile devices before running the filtering of the information to improve the quality of recommendations.
Keywords
Mobile; context; hybrid filtering; recommendation system; smartphone;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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