[Chinese Scholar Style] Guo Jiafeng, an associate researcher at the Key Laboratory of Network Data Science and Engineering, Chinese Academy of Sciences, has long been engaged in the research of deep search and mining of large-scale network data. Focusing on the difficult issues of information expression, understanding and matching in information systems, systematic research has been carried out on the representation and measurement of user queries, the efficient ranking model of information under big data, and the in-depth modeling and understanding of large-scale network text content, and proposed adaptations A series of innovative theoretical research results such as the probability graph model of high-dimensional sparse query data and the Top-k ranking learning framework.
Papers published in 2020: 29
Papers published: 242
Paper citations: 6115
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