Bayesian Network Based Business Information Retrieval Model in Electronic Commerce
This paper analyses the problem of business information retrieual in Electronic Commerce (EC) environment and proposes a business information retrieval model by means of Bayesian Network (BN) and Information Retrieval theory. In this model, the BN has four layers of nodes and user query is expressed in terms of the predefined information sample documents. The similarities between documents and the query can be calculated with the conditional probabilities among the nodes in the Bayesian Network. Experiments show that the proposed model has a good performance in searching business information.