모바일 환경에서 상황정보를 이용한 하이브리드 필터링 추천시스템 설계

Abstract

According to today's rapid growth and development of telecommunication information technology, interest has been amplified regarding ubiquitous network computing. In addition, interest has been also being increasing regarding appropriate service based on user's propensity, interest such as Internet, e-commerce, telecommunications or regarding customized services in various fields associated with public life and activities. the rapid development of related technologies and has been a big spotlight. Smart phone, with features such as a PC with advanced features is a mobile phone. The rapid development of mobile technology, anywhere, anytime to receive the desired information and services can mean that the arrival of ubiquitous network environment. According to environment and infrastructure development, a variety of mobile-based application software to provide various kinds of information and services has been released in recent mobile environment. 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. Personalized or customized information and services are needed to be provided throughout interaction with users by escaping these limitations. In other words, more advanced types of user-centered information system are necessary in step with ubiquitous computing and information technology with rapid development. According to background and need, this study wants to design and implement recommendations system for personalization and customization in mobile environments. Information filtering called key element of recommendation system uses Collaborative Filtering known as the most effective techniques in the latest Web and e-commerce recommendation system. To acquire more accurate recommendation results, recommendation system shall be composed using the Hybrid Filtering with advantage's combination of each kind of information filtering technique as well as simple collaborative 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. Through this study, efficient and convenient obtaining information and providing services would be possible based on communications equipment including future mobile terminals by implementing information recommendation system using user situation information and information filtering techniques. In addition, the results of this study may be expected to show the development direction of study regarding personalized and customized systems interlinked with ubiquitous network computing technologies ultimately.