The perfect search engine is not enough: a study of orienteering behavior in directed search
By Jaime Teevan, C. Alvarado, Mark S. Ackerman, David R Karger. International Conference on Human Factors in Computing Systems, 2004
693 citations recorded by the source corpus.
Subfields: Information Systems, Information Systems and Management, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/44609edb29a6cff6feaee0c5e1a7fbd772ef5e75
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Ryen W. White
- Jaime Teevan
- Paolo Ferragina
- Rosie Jones
- Sulin Ba
- Edward Cutrell
- Zhiwei Guan
- Steven Mark Drucker
In Information Systems and Management
- Ryen W. White
- Jaime Teevan
- Sulin Ba
- Ahmed Hassan Awadallah
- Susan T. Dumais
- Fabrizio Silvestri
- Efthimis N. Efthimiadis
- Jeff Huang
In Human-Computer Interaction
Citations in the corpus
- A personalized search engine based on Web‐snippet hierarchical clustering (2005, background): “[49] who point out that users often reach their search goals via Web pages identified using less precise, but easier to compose, queries.”
- Investigating behavioral variability in web search (2007, background): “[36] study described earlier in this paper, classified the 13 participants as “filers” and “pilers” [20] based on the information organization strategy they employ.”
- Personalizing search via automated analysis of interests and activities (2005, neutral): “[25] suggests that instead of fully specifying their search goals up front, people often browse to their targets via pages identified by less precise but more easily specified queries.”
- Promotional Marketing or Word-of-Mouth? Evidence from Online Restaurant Reviews (2013, background): “In a study that investigated how people performed personally motivated searches on the Web, researchers found that instead of jumping directly to their information target using keywords, their study participants navigated to their target using their contextual knowledge as a guide, even when they kn”
- Boosting Search Engines with Interactive Agents (2021, neutral): “Teevan et al. (2004) noticed that users facing hard queries can even decide to partially by-pass the search engine by issuing a more general query and then navigating the links within the returned documents to find an answer.”
- Information re-retrieval: repeat queries in Yahoo's logs (2007, background): “Re-finding behavior has recently attracted consider abl interest [1, 3, 4, 6, 20, 21, 22].”
- What are you looking for?: an eye-tracking study of information usage in web search (2007, background): “Other researchers have used diary studies to explore the use (and limitations) of search engines in [24].”