KEY KNOWLEDGE POINT RECOMMENDATION METHOD AND SYSTEM

摘要

This invention provides a method and system for key knowledge point recommendation, the method comprising calculating knowledge point relationship strengths of knowledge points in a set of knowledge points; calculating weights for knowledge points according to the knowledge point relationship strengths of knowledge points in the set of knowledge points, and storing the knowledge points and their weights correspondingly; determining key knowledge points according to the weights of the knowledge points and recommending the key knowledge points to a user. With this solution, knowledge point relationship strengths are obtained through calculating knowledge point relationship strengths of knowledge points in a set of knowledge points; and recommendation is given to the user for learning knowledge according to knowledge point relationship strengths, so as to help the user to learn key knowledge points selectively in a more objective and effective manner, and avoid the problem in the prior art that information recommendation is based on fuzzy logical information recommendation technology, however, fuzzy logic algorithms have lower accuracy and poor adaptability; meanwhile, these methods need users profiles and it is difficult to trace users' profiles updated in real time; also, these methods may only obtain information or knowledge points of interest, but not key knowledge points.