Estimating the Causal Impact of Recommendation Systems from Observational Data

Evolutionary Computation, 2015.

Cited by: 41|Bibtex|Views128|DOI:https://doi.org/10.1145/2764468.2764488
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Other Links: academic.microsoft.com|dblp.uni-trier.de|dl.acm.org|arxiv.org

Abstract:

Recommendation systems are an increasingly prominent part of the web, accounting for up to a third of all traffic on several of the world's most popular sites. Nevertheless, little is known about how much activity such systems actually cause over and above activity that would have occurred via other means (e.g., search) if recommendations...More

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