With the rapid development of Internet technology, online learning platforms have become an important part of the field of education, providing rich learning resources and convenient learning methods for learners around the world. In the field of language learning, these platforms not only provide a variety of courses, but also use advanced technologies such as artificial intelligence and big data to realize personalized teaching. As an important part of this technology, the content recommendation algorithm can accurately recommend the learning materials most suitable for each user by understanding the learning behavior, interest and ability, so as to improve the learning efficiency, reduce the difficulty of learning and stimulate the enthusiasm of learners. MATLAB simulation shows that under certain evaluation criteria, the content recommendation algorithm has a good effect on the results of language online learning. Online learning time is better than traditional methods.