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Investigating COVID‐19‐Related query logs of Chinese search engine users
Author(s) -
Ye Ziyi,
Mao Jiaxin,
Liu Yiqun,
Zhang Min,
Ma Shaoping
Publication year - 2020
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.424
Subject(s) - search engine , web search query , computer science , information retrieval , query expansion , world wide web , covid-19 , search analytics , web search engine , medicine , disease , pathology , infectious disease (medical specialty)
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.