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10.1002/pra2.424

http://scihub22266oqcxt.onion/10.1002/pra2.424
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33173830!7645951!33173830
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suck abstract from ncbi


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pmid33173830      Proc+Assoc+Inf+Sci+Technol 2020 ; 57 (1): e424
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  • Investigating COVID-19-Related query logs of Chinese search engine users #MMPMID33173830
  • Ye Z; Mao J; Liu Y; Zhang M; Ma S
  • Proc Assoc Inf Sci Technol 2020[]; 57 (1): e424 PMID33173830show ga
  • Query logs include valuable information for understanding user intent and behavior in Web search. In this article, we investigate COVID-19-related query logs by dividing search sessions into different intent and analyzing the user behavior of groups and individuals. We believe it important to learn about the epidemic's influence on users' search behavior and refine search engine to confront similar epidemic outbreaks in the future.
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