Investigating COVID‐19‐Related query logs of Chinese search engine users. Issue 1 (22nd October 2020)

• Record Type: Journal Article
• Authors: Ye, Ziyi; Mao, Jiaxin; Liu, Yiqun; Zhang, Min; Ma, Shaoping
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 57:Issue 1(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-10-22
• Subjects: COVID‐19 -- query log -- user behavior; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.424
• Languages: English
• ISSNs: 2373-9231

Abstract

Abstract: 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.