Internet User Interest Model No.100 Mining Algorithm
Weihua Li · Modern Computer · 2010
In order to realize online information recommendation service,it needs to analyse users' access behavior,get the clustering model for users' access,and realize online recommendation based on this clustering model.Introduces the method to obtain user's access path information,establishes the similarity matrix for the users' access path,improves K-means clustering algorithm based on the similarity matrix,and uses the matrix to cluster user model,provides analysis caes to illustrate the implementation process of algorithm.