As the widespread of PC and Internet, Obtaining knowledge from the network has become an important way of learning. However, since the knowledge in the network increases explosively, it is not easy to find the resources we need in the masses of information. At the same time, due to the lack of research on users'historical data and the lack of analysis on similar individuals, it is pretty hard to recommend users the information they may concern.Recently domestic and foreign researches on such area have achieved a lot. From the content-based filtering to collaborative filtering, it is recognised that the information filtering should not only depend on the information itself, but also on the transmitters and users of the information. By analyzing the preferences and behaviours and making effective use of relationship of users, more accurate and efficient information filtering would come true, which is known as personal recommendation.Based on numbers of online students and good condition of online... |