Characterizing the influence of domain expertise on web search behavior
By Ryen W. White, Susan T. Dumais, Jaime Teevan. 2009
361 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
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
- Julian McAuley
- Jure Leskovec
- Alexandra Olteanu
- Carlos Castillo
- Ryen W. White
- Donna K. Harman
- Fernando Diaz
- Resa A. Roth
In Information Systems
- Alexandra Olteanu
- Fernando Diaz
- Julian McAuley
- Carlos Castillo
- Jure Leskovec
- Emre Kıcıman
- Ryen W. White
- Resa A. Roth
Citations in the corpus
- From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews (2013, background): “Of particular interest is [38], since the authors study how users evolve (with respect to the level of technical content in their queries) as they gain expertise.”
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “This is problematic as there are known differences in how non-experts and experts interact with and validate systems outputs (White et al., 2009; Patton et al., 2019), particularly for critical application domains such as health.”
- Information Retrieval Evaluation (2011, background): “[197] looking at how domain expertise affects the way people search the web is an excellent example of careful data partitioning.”
- Exploratory Search: Beyond the Query-Response Paradigm (2009, background): “The search experience is tailored to the individual searcher based on inferences made about result complexity and searcher-appropriateness given their estimated level of domain expertise (White et al., 2009).”