Behavior-interior-aware user preference analysis based on social networks
There is a growing trend recently in big data analysis that focuses on behavior interiors, which concern the semantic meanings (e.g., sentiment, controversy, and other state-dependent factors) in explaining the human behaviors from psychology, sociology, cognitive science, and so on, rather than the...
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Main Authors: | Wang, Can, Bo, Tao, Zhao, Yun Wei, Chi, Chi-Hung, Lam, Kwok-Yan, Wang, Sen, Shu, Min |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2019
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/103679 http://hdl.handle.net/10220/47375 |
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Institution: | Nanyang Technological University |
Language: | English |
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