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 |
|---|---|
| Pages (from-to) | 81-84 |
| Number of pages | 4 |
| Journal | IEEE Intelligent Systems |
| Volume | 31 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2016 |
| Externally published | Yes |
Bibliographical note
This paper is part of the article titled "Uncovering and Predicting Human Behaviors"Fingerprint
Dive into the research topics of 'Non-IID recommendation theories and systems'. Together they form a unique fingerprint.Cite this
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