Abstract
With the rapid development of Internet technology, the scale of knowledge and data production continues to expand. Such huge data has brought convenience to our lives and has brought challenges to our research. In order to obtain Internet data quickly and accurately, this paper uses machine learning algorithms to build a multidimensional knowledge search model. The model adds a real-time learning mechanism to acquire various knowledge, so that the system has intelligent features such as self-learning and selfadaptation. Through the comparative analysis of traditional knowledge search algorithms, the results show that the intelligent knowledge search algorithm based on machine learning has obvious advantages in efficiency and accuracy, which greatly shortens the search time of users.
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