Extracting multistage screening rules from online dating activity data

Extracting multistage screening rules from online dating activity data

Critically, the approach can identify if and when people invoke noncompensatory screeners that eliminate large swaths of alternatives from detailed consideration. The model is estimated using deidentified activity data on million browsing and writing decisions observed on an online dating site. We find that mate seekers enact screeners ("deal breakers") that encode acceptability cutoffs. A Cited by: 17 Extracting multistage screening rules from online dating activity data Elizabeth Brucha,b,1, Fred Feinbergc,d, and Kee Yeun Leee aDepartment of Sociology, University of Michigan, Ann Arbor, MI ; bCenter for the Study of Complex Systems, University of Michigan, Ann Arbor, MI ; cRoss School of Business, University of Michigan, Ann Arbor, MI ; dDepartment of Statistics, University  · Extracting multistage screening rules from online dating activity data. Elizabeth Bruch, Fred Feinberg, Kee Yeun Lee Fred Feinberg, Kee Yeun LeeCited by: 17

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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: FeinbergKee Yeun Lee Published Computer Science, Medicine Proceedings of the National Academy of Sciences This paper presents a statistical framework for harnessing online activity data to better understand how people make decisions, extracting multistage screening rules from online dating activity data.

We find that mate seekers enact screeners "deal breakers" extracting multistage screening rules from online dating activity data encode acceptability cutoffs. A nonparametric account of heterogeneity reveals that, even after controlling for a host of observable attributes, mate evaluation differs… Expand. View on NAS. Save to Library. Create Alert. Launch Research Feed. Share This Paper. Background Citations. Methods Citations. Results Citations. Figures, Tables, and Topics from this paper.

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The model is estimated using deidentified activity data on million browsing and writing decisions observed on an online dating site. We find that mate seekers enact screeners (“deal breakers”) that encode acceptability cutoffs. A nonparametric account of heterogeneity reveals that, even after controlling for a host of observable attributes, mate evaluation differs across decision stages as well as across Request PDF | Extracting multistage screening rules from online dating activity data | This paper presents a statistical framework for harnessing online activity data to better understand how Extracting multistage screening rules from online dating activity data. By E Bruch, F Feinberg and KY Lee. Cite. BibTex; Full citation; Abstract. Department of Management and Cited by: 17