1. DeepAPP: A Deep Reinforcement Learning Framework for Mobile Application Usage Prediction
- Author
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Jianhua Zou, Zhihao Shen, Kang Yang, Xi Zhao, and Wan Du
- Subjects
Artificial neural network ,Computer Networks and Communications ,Computer science ,business.industry ,Explicit model ,Mobile computing ,020206 networking & telecommunications ,Context (language use) ,02 engineering and technology ,Launch Time ,Machine learning ,computer.software_genre ,Usage data ,User experience design ,0202 electrical engineering, electronic engineering, information engineering ,Reinforcement learning ,020201 artificial intelligence & image processing ,Artificial intelligence ,Electrical and Electronic Engineering ,Representation (mathematics) ,business ,Mobile device ,computer ,Energy (signal processing) ,Software - Abstract
This paper aims to predict a set of apps a user will open on her mobile device in the next time slot. Such an information is essential for many smartphone operations, e.g., app pre-loading and content pre-caching, to improve user experience. However, it is hard to build an explicit model that accurately captures the complex environment context and predicts a set of apps at one time. This paper presents a deep reinforcement learning framework, named as DeepAPP, which learns a model-free predictive neural network from historical app usage data. Meanwhile, an online updating strategy is designed to adapt the predictive network to the time-varying app usage behavior. To transform DeepAPP into a practical deep reinforcement learning system, several challenges are addressed by developing a context representation method for complex contextual environment, a general agent for overcoming data sparsity and a lightweight personalized agent for minimizing the prediction time. Extensive experiments on a large-scale anonymized app usage dataset reveal that DeepAPP provides high accuracy (precision 70.6% and recall of 62.4%) and reduces the prediction time of the state-of-the-art by 6.58 times. A field experiment of 29 participants demonstrates DeepAPP can effectively reduce launch time of apps.
- Published
- 2023