Composite Social Network for Predicting Mobile Apps Installation
We have carefully instrumented a large portion of the population living in a university graduate dormitory by giving participants Android smart phones running our sensing software. In this paper, we propose the novel problem of predicting mobile application (known as “apps”) installation using socia...
Main Authors: | , , , |
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Other Authors: | |
Format: | Article |
Language: | en_US |
Published: |
AAAI Publications
2013
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Online Access: | http://hdl.handle.net/1721.1/80765 https://orcid.org/0000-0002-8053-9983 |