Building industrial-scale real-world recommender systems

By Xavier Amatriain. 2012

33 citations recorded by the source corpus.

Subfields: Artificial Intelligence, 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 Artificial Intelligence

1. Jay K. Adams
2. Paul Covington
3. Emre Sargin
4. Xiangnan He
5. Ed H. Chi
6. Lichan Hong
7. Qiang Yang
8. Yu Zhang

In Information Systems

1. Jay K. Adams
2. Paul Covington
3. Emre Sargin
4. Xiangnan He
5. Ed H. Chi
6. Lichan Hong
7. Qiang Yang
8. Yu Zhang

In Management Science and Operations Research

1. Paul Covington

Citations in the corpus

• Deep Neural Networks for YouTube Recommendations (2016, background): “A classic example is the assumption that accurately predicting ratings leads to effective movie recommendations [2].”