Application Research on Personalized Recommendation in distance education
With the development in ubiquitous computing and networking, distance education has become one of the most popular ways people study. It also causes the educational resources in an exponential growth. Users are puzzled by the problem of information overload. They find it difficult to obtain useful information from huge amounts of resources. Therefore, it is an urgent problem to offer personalized recommendation service for learners in distance education. This paper provides an overview of related technology. We mention the common personalized recommendation algorithm which is based on the methods of content filtering, collaborative filtering and related rules. Moreover, the paper discusses the key technology involved in a personalized recommendation system. This paper also includes workflow of recommendation system. At the end, the whole design framework of personalized recommendation system is covered.
educational resources users interests peronalized recommendatwn distance education
Yuanyuan JIANG Haisheng ZHAN Qiaoli ZHUANG
dept.of Military thoughts and strategy Naval Arms Command Academy PLA China Guangzhou, China dept.of dept.of Network and continuing education Xidian University Xian China dept.of Computer Science and Technology Zhejiang Sci-Tech University Hangzhou, China
国际会议
太原
英文
357-360
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）