Uncovering and Predicting Human Behaviors

Uncovering and Predicting Human Behaviors

This installment of Trends & Controversies provides an array of perspectives on the latest research in modeling user behavior. Peng Cui, Huan Liu, Charu Aggarwal, and Fei Wang introduce the field in "Uncovering and Predicting Human Behaviors." The essays included are "Computationa...

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Veröffentlicht in:IEEE intelligent systems 2016-03, Vol.31 (2), p.77-88
Hauptverfasser: Peng Cui, Huan Liu, Aggarwal, Charu, Fei Wang
Format: Artikel
Sprache:eng
Schlagworte:
Analytical models
Arrays
behavior informatics
Computational modeling
Context modeling
Data mining
Fraud
Human behavior
intelligent systems
Learning
Mathematical models
modeling human behavior
Modelling
non-IIDness learning
Predictions
Predictive models
Recommender systems
Social network services
Trends
User behavior
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Beschreibung
Zusammenfassung:This installment of Trends & Controversies provides an array of perspectives on the latest research in modeling user behavior. Peng Cui, Huan Liu, Charu Aggarwal, and Fei Wang introduce the field in "Uncovering and Predicting Human Behaviors." The essays included are "Computational Modeling of Complex User Behaviors: Challenges and Opportunities," by Peng Cui, Huan Liu, Charu Aggarwal, and Fei Wang; "Non-IID Recommendation Theories and Systems," by Longbing Cao and Philip S. Yu; "User Behavior Modeling and Fraud Detection," by Alex Beutel and Christos Faloutsos; and "Transfer Learning for Behavior Prediction," by Weike Pan and Qiang Yang.
ISSN:1541-1672
1941-1294
DOI:10.1109/MIS.2016.37