Research Article
Business Information Mining Technology of Social Media Platform Based on PageRank Algorithm
@INPROCEEDINGS{10.1007/978-3-031-28867-8_13, author={Ying Liu}, title={Business Information Mining Technology of Social Media Platform Based on PageRank Algorithm}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2023}, month={3}, keywords={PageRank algorithm Social media Business information Data mining}, doi={10.1007/978-3-031-28867-8_13} }- Ying Liu
Year: 2023
Business Information Mining Technology of Social Media Platform Based on PageRank Algorithm
ADHIP PART 2
Springer
DOI: 10.1007/978-3-031-28867-8_13
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.
