investigating covid 19 related query logs of chinese search engine users CORD-Papers-2021-10-25 (Version 1)

Title: Investigating COVID-19-Related query logs of Chinese search engine users
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
Published: 2020
Journal: Proc Assoc Inf Sci Technol
Author Name: Ye, Z
Author link: https://covid19-data.nist.gov/pid/rest/local/author/ye_z
Author Name: Mao, J
Author link: https://covid19-data.nist.gov/pid/rest/local/author/mao_j
Author Name: Liu, Y
Author link: https://covid19-data.nist.gov/pid/rest/local/author/liu_y
Author Name: Zhang, M
Author link: https://covid19-data.nist.gov/pid/rest/local/author/zhang_m
Author Name: Ma, S
Author link: https://covid19-data.nist.gov/pid/rest/local/author/ma_s
license: unk
license_url: [unknown license]
source_x: WHO
source_x_url: https://www.who.int/
who_covidence_id: #919801
has_full_text: FALSE
G_ID: investigating_covid_19_related_query_logs_of_chinese_search_engine_users
S2 ID: 225041654