The Mechanism for Information Recommendation Based on Content and Collaboration
Zhao Jing · Zhongwen xinxi xuebao · 2005
Internet becomes the important tool and media for knowledge acquisition, and it is the hotspot to recommend the information related to users' interesting. The new mechanism of information recommendation based on content and collaboration is presented in this paper. It divides users into several content classes based on related texts, at the same time, and it also classifies the users into some collaborative classes based on users' annotations. Finally, it considers that both the content classes and collaborative classes can impress on the users' interest, and it applies the discriminating approach to integrate two classes into a similarity formula as a basis of information recommendation. In addition, it can automatically adjust the system parameters to adapt to the outer environment, system load and the responding speed.