In response to users’ difficulty in searching for what they need from massive digital book resources on the Web, this study develops and implements a personalized retrieval system of digital book resources based on Web knowledge discovery. The system uses Web knowledge discovery, intelligent agent technology, data mining, and so on to design modules such as user login model, user interest generation module, and optimized search results. This achieves the influence of user behavior on interest, the update of the personalized model, and the processing of search results, further improving the retrieval quality of digital book resources on the Web. We hope this research will provide some valuable reference for the construction of personalized retrieval services of digital book resources in the same field.