Abstract
In the early years of information retrieval, the focus of research was on systems aspects such as crawling, indexing, and relevancy ranking. Over the years, more and more user-related information such as click information or search history has entered the equation creating more and more personalized search experiences, though still within the scope of the same overall system. Though fully personalized search is probably desirable, this individualistic perspective does not exploit the fact that a lot of a users behavior can be explained through their group membership. Children, despite individual differences, share many challenges and needs; as do men, Republicans, Chinese or any user group. This workshop takes a group-centric approach to IR and invites contributions that either (i) propose and evaluate IR systems for a particular user group or that (ii) describe how the search behavior of specific groups differ, potentially requiring a different way of addressing their needs.
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References
Maglaughlin, K., Sonnenwald, D.: User perspectives on relevance criteria: A comparison among relevant, partially relevant, and not-relevant judgments. Journal of the American Society for Information Science and Technology 53(5), 327–342 (2002)
Tombros, A., Ruthven, I., Jose, J.M.: How users assess web pages for information seeking. Journal of the American Society for Information Science and Technology 56(4), 327–344 (2005)
Barry, C.L.: User-defined relevance criteria: an exploratory study. J. Am. Soc. Inf. Sci. 45(3), 149–159 (1994)
Jones, R., Kumar, R., Pang, B., Tomkins, A.: ”i know what you did last summer”: query logs and user privacy. In: Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, pp. 909–914 (2007)
Teevan, J., Morris, M.R., Bush, S.: Discovering and using groups to improve personalized search. In: Proceedings of the Second ACM International Conference on Web Search and Data Mining, pp. 15–24 (2009)
Weber, I., Castillo, C.: The demographics of web search. In: SIGIR, pp. 523–530 (2010)
Weber, I., Jaimes, A.: Who uses web search for what: and how. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, WSDM 2011, pp. 15–24 (2011)
Cheng, H., Cantú-Paz, E.: Personalized click prediction in sponsored search. In: Proceedings of the Third ACM International Conference on Web Search and Data Mining, pp. 351–360 (2010)
Jansen, B.J., Moore, K., Carman, S.: Evaluating the performance of demographic targeting using gender in sponsored search. Inf. Process. Manage. 49(1), 286–302 (2013)
Sharit, J., Hernández, M.A., Czaja, S.J., Pirolli, P.: Investigating the roles of knowledge and cognitive abilities in older adult information seeking on the web. ACM Trans. Comput.-Hum. Interact. 15(1), 3:1–3:25 (2008)
Duarte Torres, S., Weber, I.: What and how children search on the web. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 393–402 (2011)
Thatcher, A.: Web search strategies: The influence of web experience and task type. Inf. Process. Manage. 44(3), 1308–1329 (2008)
Gossen, T., Low, T., Nürnberger, A.: What are the real differences of children’s and adults’ web search. In: SIGIR, pp. 1115–1116 (2011)
Yue, Z., Harplale, A., He, D., Grady, J., Lin, Y., Walker, J., Gopal, S., Yang, Y.: Citeeval for evaluating personalized social web search. In: SIGIR Workshop on the Future of IR Evaluation, pp. 23–24 (2009)
Matthijs, N., Radlinski, F.: Personalizing web search using long term browsing history. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, pp. 25–34 (2011)
Chernov, S., Serdyukov, P., Chirita, P.-A., Demartini, G., Nejdl, W.: Building a Desktop Search Test-Bed. In: Amati, G., Carpineto, C., Romano, G. (eds.) ECIR 2007. LNCS, vol. 4425, pp. 686–690. Springer, Heidelberg (2007)
Leporini, B., Andronico, P., Buzzi, M.: Designing search engine user interfaces for the visually impaired. In: Proceedings of the 2004 International Cross-Disciplinary Workshop on Web Accessibility (W4A), pp. 57–66 (2004)
Chevalier, A., Rozencwajg, P., Desjours, B.: Impact of Prior Knowledge and Computer Interface Organization in Information Searching Performances: A Study Comparing Younger and Older Web Users. In: Stephanidis, C. (ed.) Posters, HCII 2011, Part I. CCIS, vol. 173, pp. 373–377. Springer, Heidelberg (2011)
Druin, A., Foss, E., Hatley, L., Golub, E., Guha, M.L., Fails, J., Hutchinson, H.: How children search the internet with keyword interfaces. In: Proceedings of the 8th International Conference on Interaction Design and Children, pp. 89–96 (2009)
Kerkmann, F., Lewandowski, D.: Accessibility of web search engines: Towards a deeper understanding of barriers for people with disabilities. Library Review 61, 608–621 (2012)
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Weber, I., Hiemstra, D., Serdyukov, P. (2013). From Republicans to Teenagers – Group Membership and Search (GRUMPS). In: Serdyukov, P., et al. Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36973-5_109
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