Long-Term Effects of Recommendation on the Evolution of Online Systems

By Dan-Dan Zhao, An Zeng, Mingsheng Shang, Jian Gao. 2013

21 citations recorded by the source corpus.

Subfields: Information Systems, Statistical and Nonlinear Physics

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

1. Barbara E. Engelhardt
2. Brandon M Stewart
3. Allison June-Barlow Chaney

In Statistical and Nonlinear Physics

1. Barbara E. Engelhardt
2. Allison June-Barlow Chaney
3. Brandon M Stewart

Citations in the corpus

• How algorithmic confounding in recommendation systems increases homogeneity and decreases utility (2017, background): “Many eorts have been made to understand whether or not various recommender systems impact diversity by reinforcing the popularity of already-popular products or by increasing interactions with niche items [2, 11, 15, 20, 47, 63].”