TY - GEN
T1 - Predicting information seeking intentions from search behaviors
AU - Mitsui, Matthew
AU - Liu, Jiqun
AU - Belkin, N. J.
AU - Shah, Chirag
N1 - Funding Information:
Œis work was supported through the National Science Foundation, grant #IIS-1423239.
Publisher Copyright:
© 2017 Copyright held by the owner/author(s).
PY - 2017/8/7
Y1 - 2017/8/7
N2 - It has been shown that people attempt to accomplish a variety of intentions during the course of an information seeking session, and there is reason to believe that these different information seeking intentions can benefit from system support tailored to each such intention. We address the problem of predicting the presence of such intentions during an information seeking session, through analysis of observable user search behaviors. We present results of a study of 40 participants, each working on two different journalism tasks, which investigated how their search behaviors could indicate their intentions. Using 725 query-segments captured from this study, we demonstrate that information seeking intentions can be predicted with a simple classification model using a linear combination of search behavior features that can be logged with a browser plug-in.
AB - It has been shown that people attempt to accomplish a variety of intentions during the course of an information seeking session, and there is reason to believe that these different information seeking intentions can benefit from system support tailored to each such intention. We address the problem of predicting the presence of such intentions during an information seeking session, through analysis of observable user search behaviors. We present results of a study of 40 participants, each working on two different journalism tasks, which investigated how their search behaviors could indicate their intentions. Using 725 query-segments captured from this study, we demonstrate that information seeking intentions can be predicted with a simple classification model using a linear combination of search behavior features that can be logged with a browser plug-in.
KW - Information seeking episode
KW - Information seeking intentions
KW - Motivating task
KW - Search intentions
KW - Search session analysis
UR - http://www.scopus.com/inward/record.url?scp=85029348433&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85029348433&partnerID=8YFLogxK
U2 - 10.1145/3077136.3080737
DO - 10.1145/3077136.3080737
M3 - Conference contribution
AN - SCOPUS:85029348433
T3 - SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 1121
EP - 1124
BT - SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
PB - Association for Computing Machinery, Inc
T2 - 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017
Y2 - 7 August 2017 through 11 August 2017
ER -