Research on Personalized Recommendation System of Scientific and Technological Periodical Based on Automatic Summarization
Utilizing the theoretical methods and technology of automatic summarization system and personalized recommend system, we study how to access to thesis document index, theme words, summary, readers evaluations and other important recommended information from the vast amount of scientific and technological periodical documents quickly and effectively. The aim is to improve the scientific workers’ research efficiency remarkably. On the basis of the traditional automatic summarization methods, we proposed the frame model based on automatic summarization system of the scientific and technological periodical; Utilizing the conceptual model of key technology of e-commerce recommendation system, we discussed the main key technology of the recommendation system; based on the specific needs of the researchers to the recommendation system, we probed into the working principle of the system thoroughly, and designed the personalized recommendation system frame. The main innovation is the recommendation system which has multi-level, flexible and controllable characteristics, and reflects a people-oriented, reader-centered thinking. Besides, the recommendation result is an integrated knowledge set document including thesis document index, theme words, summary and readers evaluations etc.
scientific and technological periodical documents automatic summarization personalized recommendation system system frame
Qifeng Yang Sihang Zhang Bin Feng
School of Economics of Wuhan University of Technology,Wuhan, Hubei, 430070, P.R.China
国际会议
昆明
英文
2007-11-23（万方平台首次上网日期，不代表论文的发表时间）