Uncovering and Predicting Human Behaviors

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

doi:10.1109/MIS.2016.37

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 journal › Article › peer-review

11 Scopus citations

Abstract

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 language	English (US)
Article number	7435176
Pages (from-to)	77-88
Number of pages	12
Journal	IEEE Intelligent Systems
Volume	31
Issue number	2
DOIs	https://doi.org/10.1109/MIS.2016.37
State	Published - Mar 1 2016

Keywords

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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10.1109/MIS.2016.37

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title = "Uncovering and Predicting Human Behaviors",

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AU - Beutel, Alex

AU - Faloutsos, Christos

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Uncovering and Predicting Human Behaviors

Abstract

Keywords

ASJC Scopus subject areas

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