RETHINKING MOBILE SEARCH QUERIES USING CONTEXT

Noran Hassan, Sherif G. Aly, Ahmed Rafea, Ahmed Soliman

Abstract

In some search domains, user context is often related to user search intent or preference. Such context however is rudimentarily used in search queries. Mobile devices, through their sensors and data content however have an abundance of information that can indicate the user context. Such context information can be used to influence, filter or re-rank search results to better match user needs. In this, paper we present some of the previous work where user context was used to improve the mobile search experience, as well as work that attempted to understand how user context is related to search intent. Our findings show that previous work primarily focused user location, with great neglect to other types of context that may be of great significance to search results. The work we present in this paper attempts to understand how a wide range of types of context influence a particular search domain. The types of context we study include location, time, day, weather and movement. We analyze how such context information can influence search needs when searching for restaurants and movies. Our analysis is based on a survey that was taken by 179 respondents. We describe the survey, how it was authored and reviewed, and then analyze the results and findings as deals with the most important contextual pieces of information that could be used to enhance the mobile search experience.

References

  1. Amin, A., Townsend, S., Ossenbruggen, J., and Hardman, L., (2009, August). Fancy a Drink in Canary Wharf?: A User Study on Location-Based Mobile Search. Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I.
  2. Arter, D., Buchanan, G., Jones, M., Harper, R., (2007). Incidental information and mobile search. Proceedings of the 9th international conference on Human computer interaction with mobile devices and services, p.413-420.
  3. Cao, H., Jiang, D., Pei, J., Chen, E., and Li, H., (2009). Towards Context-Aware Search by Learning A Very Large Variable Length Hidden Markov Model from Search Logs. Proceedings of the 18th international conference on World wide web, 191-200.
  4. Cao, H., Hu, D., Shen, D., Jiang, D., Sun, J., Chen, E. and Yang, Q., (2009). Context-Aware Query Classification. Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, 3-10.
  5. Chirita, P., Firan, C., and Nejdl, W., (2006). Summarizing Local Context to Personalize Global Web Search. Proceedings of the 15th ACM international conference on Information and knowledge management, 287- 296.
  6. Church, K., and Smyth, B., (2009a). Understanding the intent behind mobile information needs. Proceedings of the 13th international conference on Intelligent user interfaces.
  7. Church, K., and Smyth, B., (2009b). Who, What, Where & When: A New Approach to Mobile Search. Proceedings of the 13th international conference on Intelligent user interfaces, 309-312.
  8. Kamvar, M., Kellar, M., Patel, R., and Xu, Y., (2009, April). Computers and iphones and mobile phones, oh my!: a logs-based comparison of search users on different devices. Proceedings of the 18th international conference on World wide web.
  9. Kraft, R., Chang, C., Maghoul, F., and Kumar, R., (2006). Searching with Context. Proceedings of the 15th international conference on World Wide Web, 477 - 486.
  10. Leake, D., and Scherle, R., (2001). Towards ContextBased Search Engine Selection. Proceedings of the 6th international conference on ntelligent user interfaces, 109 - 112.
  11. Rahurkar, M., and Cucerzan, S., (2008). Using the Current Browsing Context to Improve Search Relevance. Proceeding of the 17th ACM conference on Information and knowledge management, 1493-1494.
  12. Ranaganathan, A., and Campbell, R., (2003). A Middleware for Context-Aware Agents in Ubiquitous Computing Environments. IFIP International Federation for Information Processing, Lecture Notes in Computer Science, 2672/2003, 998.
Download


Paper Citation


in Harvard Style

Hassan N., G. Aly S., Rafea A. and Soliman A. (2012). RETHINKING MOBILE SEARCH QUERIES USING CONTEXT . In Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: PECCS, ISBN 978-989-8565-00-6, pages 237-244. DOI: 10.5220/0003804302370244


in Bibtex Style

@conference{peccs12,
author={Noran Hassan and Sherif G. Aly and Ahmed Rafea and Ahmed Soliman},
title={RETHINKING MOBILE SEARCH QUERIES USING CONTEXT},
booktitle={Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: PECCS,},
year={2012},
pages={237-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003804302370244},
isbn={978-989-8565-00-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: PECCS,
TI - RETHINKING MOBILE SEARCH QUERIES USING CONTEXT
SN - 978-989-8565-00-6
AU - Hassan N.
AU - G. Aly S.
AU - Rafea A.
AU - Soliman A.
PY - 2012
SP - 237
EP - 244
DO - 10.5220/0003804302370244