Abstract: In order to adapt to the centralized IT system operation and maintenance management form, to improve the user retrieval accuracy and enhance the user service quality, a centralized IT operation and maintenance information retrieval algorithm based on Bayesian network is proposed. We analyze the IT operation and maintenance architecture from the aspects of operation and maintenance strategy, mode and process, defines the overall process from the user submitting the retrieval application to the result feedback; preprocesses the text information to realize the structured display of user browsing content and calculate the user feature vector; uses the directed graph to represent the Bayesian network topology, and obtains the prior probability of the term node and the file node for reasoning In order to complete the construction of operation and maintenance information retrieval model, the probability relationship between file and retrieval is used to filter redundant information. The sample space is established to transform the information retrieval problem into the concept matching problem in the sample space, and the correlation function expression of file and retrieval is obtained and simplified. Simulation results show that the method can improve the recall and precision of information retrieval, and reduce the network load.

Key words: bayesian network, centralized it, operation and maintenance information retrieval, sample space; correlation function