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As information becomes more ubiquitous and the demands that searchers have on search systems grow, there is a need to support search behaviors beyond simple lookup. Information seeking is the process or activity of attempting to obtain information in both human and technological contexts. Exploratory search describes an information-seeking problem context that is open-ended, persistent, and multifaceted, and information-seeking processes that are opportunistic, iterative, and multitactical. Exploratory searchers aim to solve complex problems and develop enhanced mental capacities. Exploratory search systems support this through symbiotic human-machine relationships that provide guidance in exploring unfamiliar information landscapes. Exploratory search has gained prominence in recent years. There is an increased interest from the information retrieval, information science, and human-computer interaction communities in moving beyond the traditional turn-taking interaction model supported by major Web search engines, and toward support for human intelligence amplification and information use. In this lecture, we introduce exploratory search, relate it to relevant extant research, outline the features of exploratory search systems, discuss the evaluation of these systems, and suggest some future directions for supporting exploratory search. Exploratory search is a new frontier in the search domain and is becoming increasingly important in shaping our future world.
The book introduces the concept of exploratory search as a distinct information-seeking behavior that moves beyond simple lookup. It defines exploratory search as an open-ended, persistent, and multifaceted process aimed at solving complex problems and enhancing mental capacities, often supported by symbiotic human-machine relationships. The work outlines the features of exploratory search systems, discusses their evaluation, and proposes future research directions in this emerging domain.
This work is positioned as an introduction to a growing area of interest within information retrieval, information science, and human-computer interaction. The lecture format suggests a focused, academic presentation of the topic. The content appears to be aimed at researchers and practitioners seeking to understand and develop systems that support more complex information-seeking behaviors beyond simple query-response interactions.
Page Count:
0
Publication Date:
2009-01-01
ISBN-10:
1598297848
ISBN-13:
9781598297843
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