Information foraging theory
By Peter Pirolli. 2007
398 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/57039425c233b73f42de261e248a9dbafa146653
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
- Joel Brandt
- Scott R. Klemmer
- Mira Dontcheva
- Resa A. Roth
- Philip J. Guo
- Ryen W. White
- James Lehman
- Yizhou Qian
Citations in the corpus
- Example-centric programming: integrating web search into the development environment (2010, background): “The increased prevalence of online source code—shared in code repositories, documentation, blogs and forums [1, 2, 6, 9, 23]—enables programmers to opportunistically build applications by iteratively searching for, modifying, and combining examples [5, 8, 15].”
- Exploratory Search: Beyond the Query-Response Paradigm (2009, background): “Although we are informa vores (Miller, 1983; i.e., a species that hungers for information in order to gather it to adapt to our world; Pirolli, 2008), only a small amount of the information we encounter is actually relevant to our current activity.”
- Two studies of opportunistic programming: interleaving web foraging, learning, and writing code (2009, background): “” This assessing behavior is consistent with information scent theory, in that users decide which Web pages to explore by evaluating their surface-level features [28].”