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The role of context in query input: using contextual signals to complete queries on mobile devices
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Source ACM International Conference Proceeding Series; Vol. 309 archive
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services table of contents
Singapore
Pages 405-412  
Year of Publication: 2007
ISBN:978-1-59593-862-6
Authors
Maryam Kamvar  Columbia University, New York, NY
Shumeet Baluja  Google Inc., Mountain View, CA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

The difficulty of entering queries from impoverished keyboards impedes the use of web search on mobile devices. On average, it takes a mobile user approximately 60 seconds to enter a query from a 9-key keypad [1]. In this paper, we explore the use of contextual signals to facilitate query entry on mobile phones. We present a query prediction system which offers automatically generated word completions as the user is typing her query. The query prediction system redefines the prediction dictionary after considering contextual signals such as the application being used (e.g. search vs. general text messaging), the inferred location of the user, the time of day and day of week. We demonstrate a 46.4% improvement in query entry, measured by number of key presses needed to enter queries. We found that the two contextual signals that make the largest impact are knowledge of the application being used and the location of the user.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Jose, J. & van Rijsbergen, C. J. (2004) "Workshop on Information Retrieval in Context: Report", SIGIR IRiX Workshop
 
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Freund, L., Toms, E. G. (2005) "Contextual search: from information behaviour to information retrieval", Annual Conf. of the Canadian Association for Information Science.
 
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Belkin, N. J., Muresan, G., Zhang, X. M. (2004) "Using User's Context for IR Personalization", SIGIR IRiX Workshop.
 
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Lawrence, S. (2000) "Context in Web Search", IEEE Data Engineering Bulletin, V. 23:3, pp 25--32.
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Toms, E. G., Marche, S., O'Brien, H. Toze, S., Trifts, V., Dawe, E. (2004) "Situational Impact on Search", SIGIR IRiX Workshop
 
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British National Corpus http://www.natcorp.ox.ac.uk


Collaborative Colleagues:
Maryam Kamvar: colleagues
Shumeet Baluja: colleagues