Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Predicting The Next App That You Are Going To Use
Predicting mobile application usage using contextual information
Describing Patterns and Disruptions in Large Scale Mobile App Usage Data
Fresh apps: an empirical study of frequently-updated mobile apps in the Google play store
App Store Analysis: Mining App Stores for Relationships between Customer, Business and Technical Characteristics
Attributes that Predict which Features to Fix: Lessons for App Store Mining
Revisitation analysis of smartphone app use
Mining Personal Context-Aware Preferences for Mobile Users
Factors influencing intention of mobile application use
Demographic Prediction of Mobile User from Phone Usage
Addressing cold-start in app recommendation: latent user models constructed from twitter followers
Determinants of Mobile Apps' Success: Evidence from the App Store Market
Analyzing reviews and code of mobile apps for better release planning
Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval
On the Emotion of Users in App Reviews
The App Sampling Problem for App Store Mining
On the Use of Machine Learning to Predict the Time and Resources Consumed by Applications
Predicting instant messenger application adoption using a unified theory of acceptance and use of technology 2
Local Algorithm for User Action Prediction Towards Display Ads
An In-Situ Study of Mobile App & Mobile Search Interactions
Modeling User Concerns in the App Store: A Case Study on the Rise and Fall of Yik Yak
Efficient elastic burst detection in data streams
A mathematical analysis of the effects of control strategies on the transmission dynamics of malaria
ONE CHAPTER 7 Thermal Decomposition of Polymers
Force Field Feature Extraction for Ear Biometrics
Learning without Forgetting