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Travelled to:
1 × Australia
1 × France
1 × Germany
1 × Ireland
1 × United Kingdom
2 × Canada
4 × USA
Collaborated with:
Z.Ghahramani S.S.Keerthi R.W.White S.Park B.L.Tseng L.Li J.Yan D.L.Wild C.J.Ong L.Zhang J.Yang M.Zinkevich A.Thomas H.Wang X.He M.Chang Y.Song T.Moon C.Liao Z.Zheng Y.Chang P.N.Bennett S.T.Dumais P.Bailey F.Borisyuk X.Cui T.Beaupre N.Motgi A.Phadke S.Chakraborty J.Zachariah
Talks about:
search (4) model (4) learn (4) regress (3) person (3) behavior (2) support (2) vector (2) prefer (2) onlin (2)

Person: Wei Chu

DBLP DBLP: Chu:Wei

Contributed to:

SIGIR 20142014
SIGIR 20132013
SIGIR 20122012
CIKM 20112011
KDD 20112011
CIKM 20102010
KDD 20092009
RecSys 20092009
ICML 20052005
ICML 20042004
ICML 20012001

Wrote 12 papers:

SIGIR-2014-YanCW #modelling #personalisation
Cohort modeling for enhanced personalized search (JY, WC, RWW), pp. 505–514.
SIGIR-2013-WangHCSWC #adaptation #personalisation #ranking #web
Personalized ranking model adaptation for web search (HW, XH, MWC, YS, RWW, WC), pp. 323–332.
SIGIR-2012-BennettWCDBBC #behaviour #modelling #personalisation
Modeling the impact of short- and long-term behavior on search personalization (PNB, RWW, WC, STD, PB, FB, XC), pp. 185–194.
CIKM-2011-ZhangYCT #detection
A machine-learned proactive moderation system for auction fraud detection (LZ, JY, WC, BLT), pp. 2501–2504.
KDD-2011-ChuZLTT #data type #learning #online
Unbiased online active learning in data streams (WC, MZ, LL, AT, BLT), pp. 195–203.
CIKM-2010-MoonLCLZC #feedback #learning #online #ranking #realtime #using
Online learning for recency search ranking using real-time user feedback (TM, LL, WC, CL, ZZ, YC), pp. 1501–1504.
KDD-2009-ChuPBMPCZ #analysis #behaviour #case study #exclamation
A case study of behavior-driven conjoint analysis on Yahoo!: front page today module (WC, STP, TB, NM, AP, SC, JZ), pp. 1097–1104.
RecSys-2009-ParkC #recommendation
Pairwise preference regression for cold-start recommendation (STP, WC), pp. 21–28.
ICML-2005-ChuG #learning #process
Preference learning with Gaussian processes (WC, ZG), pp. 137–144.
ICML-2005-ChuK
New approaches to support vector ordinal regression (WC, SSK), pp. 145–152.
ICML-2004-ChuGW #predict #visual notation
A graphical model for protein secondary structure prediction (WC, ZG, DLW).
ICML-2001-ChuKO #framework
A Unified Loss Function in Bayesian Framework for Support Vector Regression (WC, SSK, CJO), pp. 51–58.
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.