The Association Push of Interesting Information Based on Bayesian Network Model
Jie Ou, Yunlong Sun, GF Securities · 2003
The association push of interesting information is implemented according to the information that other users with similar interests have read, therefore user can easily find high quality interesting information from the immense Web information- The association push of interesting information based on Bayesian network model is presented in this paper, it stores the conditional probability and semantic meaning between the terms, so the similarity between the users' interests and the similarity between the user's interest and document can be computed according to the semantic meaning of the terms, therefore the association push of interesting information can be implemented. The experience result indicates this method is effective.