Clickthrough Decision Making
Clickthrough Decision Making is a cognitive-behavioral process within information foraging theory that determines a user’s selection of a hyperlink based on the perceived relevance and utility of the anticipated content, evaluated through available cues in the interface.
13
Publications
2.9K
Citations
45
Authors
30
Institutions
Publications per year
2017–2026
2
Parents
13
Accurately interpreting clickthrough data as implicit feedback
Thorsten Joachims, Laura Granka, Bing Pan et al. · 2005 · 1.4K citations
Accurately Interpreting Clickthrough Data as Implicit Feedback
Thorsten Joachims, Laura Granka, Bing Pan et al. · ACM SIGIR Forum · 2017 · 204 citations
Yisong Yue, Hein Roehrig · 2010 · 188 citations
Choice and the Internet: From Clickstream to Research Stream
Randolph E. Bucklin, James M. Lattin, Asim Ansari et al. · Marketing Letters · 2002 · 156 citations
1–5 of 13
45
3
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 45
30
Stanford University
Stanford, United States
4 h-index
4 publications
1.8K citations

Cornell University
Ithaca, United States
4 h-index
13 publications
9.3K citations
Columbia University
New York, United States
2 h-index
3 publications
296 citations
Google (United States)
Mountain View, United States
2 h-index
3 publications
1.1K citations
Palo Alto University
Palo Alto, United States
2 h-index
2 publications
1.6K citations

New School
New York, United States
1 h-index
1 publications
156 citations
Duke University
Durham, United States
1 h-index
1 publications
156 citations
Pohang University of Science and Technology
Pohang, South Korea
1 h-index
1 publications
12 citations
1–8 of 30
1 publications · 105 citations
1
h-index
1 publications · 12 citations
1
h-index
1 publications · 677 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 156 citations
1
h-index
1–5