Audience Modeling
Audience Modeling is a theoretical construct in riddle interpretation that specifies the cognitive and contextual attributes of intended recipients to predict how varying levels of background knowledge, inferential ability, and cultural familiarity influence the comprehension and appreciation of riddles.
17
Publications
735
Citations
53
Authors
24
Institutions
Publications per year
2017–2026
4
Parents
17
Audience selection for on-line brand advertising
Foster Provost, B D'Alessandro, Rod Hook et al. · 2009 · 120 citations
Externalities in online advertising
Arpita Ghosh, Mohammad Mahdian · 2008 · 78 citations
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies
Zhiwei Deng, Rajitha Navarathna, Peter Carr et al. · 2017 · 63 citations
1–5 of 17
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24
Yahoo (United States)
Sunnyvale, United States
3 h-index
6 publications
228 citations

ITMO University
St Petersburg, Russia
2 h-index
4 publications
52 citations
New York University
New York, United States
1 h-index
2 publications
36 citations

University of Manchester
Manchester, United Kingdom
1 h-index
3 publications
51 citations
California Institute of Technology
Pasadena, United States
1 h-index
1 publications
63 citations
Telecom Italia (Italy)
Rome, Italy
1 h-index
2 publications
52 citations
Vrije Universiteit Brussel
Brussels, Belgium
1 h-index
2 publications
52 citations
Stanford University
Stanford, United States
1 h-index
2 publications
372 citations
1–8 of 24
Repository · 1 publications · 18 citations
1
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ASR · 1 publications · 186 citations
1
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1 publications · 27 citations
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1 publications · 26 citations
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1 publications · 40 citations
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