AppJoy: personalized mobile application discovery

By Bo Yan, Guanling Chen. 2011

213 citations recorded by the source corpus.

Subfields: Computer Science Applications, Electrical and Electronic Engineering, Information Systems

How researchers see this paper

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

In Computer Science Applications

1. Mahadev Satyanarayanan
2. Lichan Hong

In Electrical and Electronic Engineering

1. Mahadev Satyanarayanan

In Information Systems

1. Mahadev Satyanarayanan
2. Vihan Jain
3. Jeremiah Harmsen
4. Tushar Chandra
5. Lichan Hong
6. Xiangnan He
7. Gang Wang

Citations in the corpus

• Wide & Deep Learning for Recommender Systems (2016, methodology): “There has also been previous work on mobile app recommender systems, such as AppJoy which used CF on users’ app usage records [8].”
• Mobile computing: the next decade (2010, background): “The importance of crowd sourcing as a fundamental technique in mobile computing is already well-recognized, as shown by a sampling of recent papers in mobile computing conferences and workshops [4, 11, 18, 34, 35, 36].”