Research on Enterprise Education Information Retrieval Model Based on Machine Learning

With the expansion of enterprise scale and the increase in information volume, traditional manual retrieval methods are no longer able to meet the needs of rapid and accurate retrieval of enterprise education information. To this end, research is conducted to optimize the design of enterprise education information retrieval models based on machine learning technology. Utilize web scraping techniques to gather comprehensive educational data for the company’s learning and development initiatives, and complete the pre-processing of the initial enterprise education information through word segmentation, semantic tagging, clustering and other steps. The support vector machine technology in machine learning is used to extract the characteristics of enterprise education information, and the output results of enterprise education information retrieval model are obtained through the steps of feature matching, retrieval expansion, etc. Through the model test experiment, it is concluded that the retrieval accuracy and recall rate of the design model are 99.0% and 99.6% respectively, which shows that the design model has good retrieval performance and running performance.