Long-term effects of user preference-oriented recommendation method on the evolution of online system

By Xiaoyu Shi, Mingsheng Shang, Xin Luo, Abbas Khushnood, Jian Li. 2017

11 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

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

In Information Systems

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

In Management Science and Operations Research

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): “ a variety of system characteristics that are thought to be important, along with methods for evaluating them [24]. Among these characteristics, diversity is often framed as a counterpart to accuracy [28, 40, 57, 69]. Diversity can be considered at multiple levels: in aggregate, within groups of use”