Fast app launching for mobile devices using predictive user context

By Tingxin Yan, David Chu, Deepak Ganesan, Aman Kansal, Jie Liu. ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services, 2012

319 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f501cb38a046de3c5113625f8d0078e37f8a6585

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Xiuqiang He
2. Zhenhua Dong
3. Zhenguo Li
4. Fei Chen
5. Han-Jia Ye
6. Xing Xie
7. De-chuan Zhan
8. Chelsea Finn

In Electrical and Electronic Engineering

1. Zhenguo Li

Citations in the corpus

• Federated Meta-Learning for Recommendation (2018, background): “Mobile APPs prediction can employ contextual information from corresponding users (Yan et al., 2012; Huang et al., 2012).”