Knowledge Recommender: An Application Based on the Social Knowledge Network for Knowledge Recommendation

Obtaining the certain knowledge is becoming increasingly difficult with information expansion. While massive data accumulated on the e-learning platform usually weren´t utilized. This paper provides a knowledge recommendation solution by taking advantage of the usual e-learning platform´s massive data to build a blending network. The blending network, namely social knowledge network, takes the learners as a dynamic learning resource. It also emphasizes the fully integration of the knowledge and the users. The building processes were explicated in the paper. To verify the application´s ability in knowledge recommendation, a comparative trial was conducted with real users. The statistics has demonstrated the application´s effectiveness.