Exploring mouse movements for inferring query intent
Q. Guo, and E. Agichtein. SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, page 707--708. New York, NY, USA, ACM, (2008)
DOI: 10.1145/1390334.1390462
Abstract
Clickthrough on search results have been successfully used to infer user interest and preferences, but are often noisy and potentially ambiguous. We explore the potential of a complementary, more sensitive signal -mouse movements- in providing insights into the intent behind a web search query. We report preliminary results of studying user mouse movements on search result pages, with the goal of inferring user intent - in particular, to explore whether we can automatically distinguish the different query classes such as navigational vs. informational. Our preliminary exploration confirms the value of studying mouse movements for user intent inference, and suggests interesting avenues for future exploration.
%0 Conference Paper
%1 citeulike:3056689
%A Guo, Qi
%A Agichtein, Eugene
%B SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
%C New York, NY, USA
%D 2008
%I ACM
%K implicit-feedback mouse-tracking rfpaws www-search
%P 707--708
%R 10.1145/1390334.1390462
%T Exploring mouse movements for inferring query intent
%U http://dx.doi.org/10.1145/1390334.1390462
%X Clickthrough on search results have been successfully used to infer user interest and preferences, but are often noisy and potentially ambiguous. We explore the potential of a complementary, more sensitive signal -mouse movements- in providing insights into the intent behind a web search query. We report preliminary results of studying user mouse movements on search result pages, with the goal of inferring user intent - in particular, to explore whether we can automatically distinguish the different query classes such as navigational vs. informational. Our preliminary exploration confirms the value of studying mouse movements for user intent inference, and suggests interesting avenues for future exploration.
%@ 978-1-60558-164-4
@inproceedings{citeulike:3056689,
abstract = {{Clickthrough on search results have been successfully used to infer user interest and preferences, but are often noisy and potentially ambiguous. We explore the potential of a complementary, more sensitive signal -mouse movements- in providing insights into the intent behind a web search query. We report preliminary results of studying user mouse movements on search result pages, with the goal of inferring user intent - in particular, to explore whether we can automatically distinguish the different query classes such as navigational vs. informational. Our preliminary exploration confirms the value of studying mouse movements for user intent inference, and suggests interesting avenues for future exploration.}},
added-at = {2018-03-19T12:24:51.000+0100},
address = {New York, NY, USA},
author = {Guo, Qi and Agichtein, Eugene},
biburl = {https://www.bibsonomy.org/bibtex/29069d805de5ccaacfa80c43fbb1dbd7f/aho},
booktitle = {SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval},
citeulike-article-id = {3056689},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1390334.1390462},
citeulike-linkout-1 = {http://dx.doi.org/10.1145/1390334.1390462},
doi = {10.1145/1390334.1390462},
interhash = {c3474b965f5c2e3d7e0c65ed9bc4844e},
intrahash = {9069d805de5ccaacfa80c43fbb1dbd7f},
isbn = {978-1-60558-164-4},
keywords = {implicit-feedback mouse-tracking rfpaws www-search},
location = {Singapore, Singapore},
pages = {707--708},
posted-at = {2008-11-17 22:16:28},
priority = {2},
publisher = {ACM},
timestamp = {2018-03-19T12:24:51.000+0100},
title = {{Exploring mouse movements for inferring query intent}},
url = {http://dx.doi.org/10.1145/1390334.1390462},
year = 2008
}