The effects of domain knowledge on search tactic formulation

By Barbara M. Wildemuth. J. Assoc. Inf. Sci. Technol., 2004

393 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/ae530bd8750c900387c550305a3a4a80a97f0fe1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ryen W. White
2. Jaime Teevan
3. Eric Horvitz
4. Susan T. Dumais
5. Min-Ling Zhang
6. Yiming Yang
7. Siddharth Gopal
8. Li Deng

In Information Systems

1. Ryen W. White
2. Jaime Teevan
3. Susan T. Dumais
4. Eric Horvitz
5. Donna K. Harman
6. Emre Kıcıman
7. Meredith Ringel Morris
8. Diane Kelly

Citations in the corpus

• Cyberchondria: Studies of the escalation of medical concerns in Web search (2009, background): “Information Retrieval (IR) and information science researchers have inves­tigated the search behavior of medical domain experts [Hersh et al. 1998, 2002; Bhavnani 2002; Wildemuth 2004], with a view to better understand­ing the search behavior of those with specialist domain knowledge.”
• Characterizing the influence of domain expertise on web search behavior (2009, methodology): “To further probe the relationship between search success and domain expertise we examined the correlation between the two variables for in-domain sessions, as suggested by [23].”
• User acceptance of a digital library system in developing countries: An application of the Technology Acceptance Model (2009, neutral): “Studies on information retrieval systems indicate that individuals with in-depth knowledge in the field know how to formulate more sophisticated and accurate queries (Linde & Bergstrom, 1988; Marchionini, Dwiggins, Katz, & Lin, 1993; Meadow, Wang, & Yuan, 1995; Wildemuth, 2003) and how to make more ”