existing process model of information search that characterizes information-seeking behavior in traditional fact-retrievals using search engines. Recent development in exploratory search is often concentrated in predicting users' search intents in interaction with the user. Such predictive user modeling, also referred as intent modeling, can help users to get accustomed to a body of domain knowledge and help users to make sense of the potential directions to be explored around their initial, often vague, expression of information needs. Major figures Key figures, including experts from both information seeking and human–computer interaction, are: Marcia Bates Nicholas Belkin Gary Marchionini m.c. schraefel Ryen White References Sources White, R.W., Kules, B., Drucker, S.M., and schraefel, m.c. (2006). Supporting Exploratory Search, Introduction to Special Section of Communications of the ACM, Vol. 49, Issue 4, (2006), pp. 36–39. Ryen W. White, Gary Marchionini, Gheorghe Muresan (2008). Evaluating exploratory search systems: Introduction to special topic issue of information processing and management Vol. 44, Issue 2, (2008), pp. 433–436 Ryen W. White and Resa A. Roth (2009). Exploratory Search: Beyond the Query-Response Paradigm, San Rafael, CA: Morgan and Claypool. P. Papadakos, S. Kopidaki, N. Armenatzoglou and Y. Tzitzikas (2009). Exploratory Web Searching with Dynamic Taxonomies and Results Clustering,13th European Conference on Digital Libraries (ECDL'09), Corfu, Greece, Sep-Oct 2009 Marchionini, G. (2006). Exploratory Search: From Finding to Understanding, Communications of the ACM, 49(2), p.41-46. Human–computer interaction Information retrieval genres Information science