NDLI: Characterizing the influence of Domain Expertise on Web Serach Behavior

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Characterizing the influence of Domain Expertise on Web Serach Behavior

Content Provider	CiteSeerX
Author	White, Ryen W. Dumais, Susan T. Teevan, Jaime
Description	Domain experts search differently than people with little or no domain knowledge. Previous research suggests that domain experts employ different search strategies and are more successful in finding what they are looking for than non-experts. In this paper we present a large-scale, longitudinal, log-based analysis of the effect of domain expertise on web search behavior in four different domains (medicine, finance, law, and computer science). We characterize the nature of the queries, search sessions, web sites visited, and search success for users identified as experts and non-experts within these domains. Large-scale analysis of real-world interactions allows us to understand how expertise relates to vocabulary, resource use, and search task under more realistic search conditions than has been possible in previous small-scale studies. Building upon our analysis we develop a model to predict expertise based on search behavior, and describe how knowledge about domain expertise can be used to present better results and query suggestions to users and to help non-experts gain expertise.
File Format	PDF
Language	English
Publisher Institution	In Proc. WSDM (2009
Access Restriction	Open
Subject Keyword	Search Task Search Success Different Domain Web Search Behavior Log-based Analysis Different Search Strategy Web Site Computer Science Query Suggestion Previous Small-scale Study Domain Expertise Web Serach Behavior Realistic Search Condition Search Behavior Real-world Interaction Non-experts Gain Expertise Domain Expert Large-scale Analysis Domain Knowledge Search Session Previous Research Resource Use
Content Type	Text
Resource Type	Article

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