In order to achieve the goal of accurate recommendation of oral English online learning resources and optimize the learning experience, a brand-new accurate recommendation method of learning resources is proposed by using multi-source information fusion. Firstly, based on multi-source information fusion, a personalized model of learners is established to master learners’ interests, knowledge level and intentions; Secondly, the online learning resource database of spoken English is constructed, and the resources suitable for learners are initially found through screening and sorting functions; On this basis, an accurate recommendation algorithm for learning resources is designed, and the resource recommendation result with the highest matching degree is generated according to the similarity between the tag information of learning resources and the user's interest characteristics. The test results show that this method is effective in accuracy, recall, \(F1\) scores show significant advantages, which can more accurately and comprehensively cover the learning resources that users may be interested in, and provide learning resources that meet their expectations.