GraphJet: Real-Time Content Recommendations at Twitter

By Aneesh Sharma, Jerry Jiang, Praveen Bommannavar, B. Larson, Jimmy J. Lin. 2016

90 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition

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. Jure Leskovec
2. Zitao Liu
3. William L. Hamilton
4. Marinka Zitnik
5. Rex Ying
6. Stephan Günnemann
7. Jiaxuan You
8. Philip S. Yu

In Computer Networks and Communications

1. Jure Leskovec
2. Jaewon Yang

In Computer Vision and Pattern Recognition

1. Jure Leskovec
2. Jaewon Yang
3. Rok Sosic
4. Bryan Perozzi
5. Santo Fortunato
6. Darko Hric
7. Samuel A. Assefa

Citations in the corpus

• Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time (2017, background): “ntent in real-time leads to 30-50% higher engagement than needing to wait days or hours for recommendations to refresh. Other examples of real-time recommendation systems include news recommendations [9, 26]. However, such systems recommend only the latest content. The major difference here is in sc”