TY - JOUR
T1 - Non-IID recommendation theories and systems
AU - Cao, Longbing
AU - Yu, Philip S.
N1 - This paper is part of the article titled "Uncovering and Predicting Human Behaviors"
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84964330855&partnerID=8YFLogxK
U2 - 10.1109/MIS.2016.37
DO - 10.1109/MIS.2016.37
M3 - Article
SN - 1541-1672
VL - 31
SP - 81
EP - 84
JO - IEEE Intelligent Systems
JF - IEEE Intelligent Systems
IS - 2
ER -