Abstract
The existing methods of business information mining are flexible and cannot effectively mine the business information of media platform. In order to summarize and manage the mass business information effectively, a research method of business information mining based on PageRank algorithm for social media platform is proposed. Different from the existing methods, it innovatively optimizes the business information evaluation algorithm of social media platforms, increases the flexibility of information mining, and realizes the business information mining of social media platforms. The experiment proves that the technology of business information mining based on social media platforms can effectively summarize and manage a large amount of business information.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, Y. (2023). Business Information Mining Technology of Social Media Platform Based on PageRank Algorithm. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-28867-8_13
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DOI: https://doi.org/10.1007/978-3-031-28867-8_13
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