Predicting Virtual World User Population Fluctuations with Deep Learning.
Ontology highlight
ABSTRACT:
SUBMITTER: Kim YB
PROVIDER: S-EPMC5147861 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
Publications
Predicting Virtual World User Population Fluctuations with Deep Learning.
Kim Young Bin YB Park Nuri N Zhang Qimeng Q Kim Jun Gi JG Kang Shin Jin SJ Kim Chang Hun CH
PloS one 20161209 12
This paper proposes a system for predicting increases in virtual world user actions. The virtual world user population is a very important aspect of these worlds; however, methods for predicting fluctuations in these populations have not been well documented. Therefore, we attempt to predict changes in virtual world user populations with deep learning, using easily accessible online data, including formal datasets from Google Trends, Wikipedia, and online communities, as well as informal dataset ...[more]
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