Uncovering and Predicting Human Behaviors

Peng Cui, Huan Liu, Charu Aggarwal, Fei Wang, Longbing Cao, Philip S. Yu, Alex Beutel, Christos Faloutsos

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


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.

Original languageEnglish (US)
Article number7435176
Pages (from-to)77-88
Number of pages12
JournalIEEE Intelligent Systems
Issue number2
StatePublished - Mar 1 2016


  • behavior informatics
  • intelligent systems
  • modeling human behavior
  • non-IIDness learning
  • recommender systems

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Artificial Intelligence


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