APPLICATION OF RECOMMENDER ENGINE IN ACADEMIC DEGREE AND POSTGRADUATE EDUCATION KNOWLEDGE MANAGEMENT SYSTEM
Now, Knowledge Management System (KMS) has been used in some universities, although, it does help to improve knowledge sharing and innovation capacity, another problem appeared: a large amount of data is submitted to KMS everyday, it is difficult to find proper content only by searching engine. Because we are not adept at accurately defining our needs with appropriate keywords and searching engine is hard to satisfy the individuality demand. However, Recommender Engine has emerged as a promising alternative to searching information due to its ability of recommend content to users based on the source of users information, behavior and collection intelligence. This paper gives an overview of the concept of recommender engine, then introduce an architecture for building recommender engine in academic degree and postgraduate education KMS. Base on the project research, this paper proposes a new knowledge discovery architecture, which combines recommender engine with Searching Engine. The issues and solutions of Recommender Engine have been discussed in this paper and some recommender techniques also been proposed to show how a Recommend Engine work in academic degree and postgraduate education KMS.
Recommend engine Searching engine Knowledge management Academic degree and postgraduate
Xuan Wang HongChun Shu
Kunming University of Science and Technology, Kunming, Yunnan, China
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
2893-2896
2011-06-08（万方平台首次上网日期，不代表论文的发表时间）