TY - GEN
T1 - Searcher in a strange land
T2 - 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015
AU - Kravi, Elad
AU - Agichtein, Eugene
AU - Guy, Ido
AU - Kanza, Yaron
AU - Mejer, Avihai
AU - Pelleg, Dan
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/8/9
Y1 - 2015/8/9
N2 - With mobile devices, web search is no longer limited to specific locations. People conduct search from practically anywhere, including at home, at work, when traveling and when on vacation. How should this influence search tools and web services? In this paper, we argue that information needs are affected by the familiarity of the environment. To formalize this idea, we propose a new contextualization model for activities on the web. The model distinguishes between a search from a familiar place (F-search) and a search from an unfamiliar place (U-search). We formalize the notion of familiarity, and propose a method to identify familiar places. An analysis of a query log of millions of users, demonstrates the differences between search activities in familiar and in unfamiliar locations. Our novel take on search contextualization has the potential to improve web applications, such as query autocompletion and search personalization.
AB - With mobile devices, web search is no longer limited to specific locations. People conduct search from practically anywhere, including at home, at work, when traveling and when on vacation. How should this influence search tools and web services? In this paper, we argue that information needs are affected by the familiarity of the environment. To formalize this idea, we propose a new contextualization model for activities on the web. The model distinguishes between a search from a familiar place (F-search) and a search from an unfamiliar place (U-search). We formalize the notion of familiarity, and propose a method to identify familiar places. An analysis of a query log of millions of users, demonstrates the differences between search activities in familiar and in unfamiliar locations. Our novel take on search contextualization has the potential to improve web applications, such as query autocompletion and search personalization.
KW - Location-based search
KW - Query language modeling
KW - Search personalization
KW - Web search modeling
UR - http://www.scopus.com/inward/record.url?scp=84953775511&partnerID=8YFLogxK
U2 - 10.1145/2766462.2767782
DO - 10.1145/2766462.2767782
M3 - Conference contribution
AN - SCOPUS:84953775511
T3 - SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 855
EP - 858
BT - SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
PB - Association for Computing Machinery, Inc
Y2 - 9 August 2015 through 13 August 2015
ER -