TY - GEN
T1 - Personalizing information retrieval using search behaviors and time constraints
AU - Liu, Chang
AU - Liu, Jingjing
AU - Yan, Zengwang
N1 - Funding Information:
This project is funded by National Nature Science Foundation of China (NSFC) #71303015.
Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - Studies have examined how time constraints influence search behaviors; however, no effort has been spent on how time constraints may help predict document usefulness for personalization purposes. This study aims to fill this gap by researching the relationships between time constraints, search behaviors, and usefulness judgments. A controlled lab experiment was conducted with 40 participants searching for four tasks of two types (fact finding and information understanding), under two time conditions (with or without time constraints). Results show that time constraints and usefulness had interaction effects on first dwell time; while usefulness had positive relationship with total dwell time. Results indicate that knowing time constraints helps predict document usefulness from dwell time. The findings provide implications on personalization in information search.
AB - Studies have examined how time constraints influence search behaviors; however, no effort has been spent on how time constraints may help predict document usefulness for personalization purposes. This study aims to fill this gap by researching the relationships between time constraints, search behaviors, and usefulness judgments. A controlled lab experiment was conducted with 40 participants searching for four tasks of two types (fact finding and information understanding), under two time conditions (with or without time constraints). Results show that time constraints and usefulness had interaction effects on first dwell time; while usefulness had positive relationship with total dwell time. Results indicate that knowing time constraints helps predict document usefulness from dwell time. The findings provide implications on personalization in information search.
UR - http://www.scopus.com/inward/record.url?scp=85050456531&partnerID=8YFLogxK
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U2 - 10.1145/3176349.3176878
DO - 10.1145/3176349.3176878
M3 - Conference contribution
AN - SCOPUS:85050456531
T3 - CHIIR 2018 - Proceedings of the 2018 Conference on Human Information Interaction and Retrieval
SP - 261
EP - 264
BT - CHIIR 2018 - Proceedings of the 2018 Conference on Human Information Interaction and Retrieval
PB - Association for Computing Machinery, Inc
T2 - 3rd ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2018
Y2 - 11 March 2018 through 15 March 2018
ER -