Publication
IEEE Intelligent Systems
Paper

Uncovering and Predicting Human Behaviors

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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.

Date

01 Mar 2016

Publication

IEEE Intelligent Systems

Authors

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