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XHTML 1.0 W3C Rec
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Travelled to:
1 × Australia
1 × Austria
2 × China
2 × Ireland
3 × USA
Collaborated with:
J.Wang Y.Yu X.Zhao T.Chen D.Yang S.Yuan B.Chen A.Ahmed J.Yang V.Josifovski A.J.Smola Q.Lu L.Tian X.Sun H.Wang Y.Zhang B.Gao X.Yuan T.Liu
Talks about:
recommend (3) collabor (3) advertis (3) filter (3) optim (3) mine (3) display (2) risk (2) bid (2) perspect (1)

Person: Weinan Zhang

DBLP DBLP: Zhang:Weinan

Contributed to:

KDD 20152015
RecSys 20152015
KDD 20142014
CIKM 20132013
RecSys 20132013
SIGIR 20132013
KDD 20122012
RecSys 20122012
SIGIR 20122012

Wrote 11 papers:

KDD-2015-ZhangAYJS #email #information management
Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails (WZ, AA, JY, VJ, AJS), pp. 2257–2266.
KDD-2015-ZhangW15a #mining #statistics
Statistical Arbitrage Mining for Display Advertising (WZ, JW), pp. 1465–1474.
RecSys-2015-ZhaoZ0 #recommendation
Risk-Hedged Venture Capital Investment Recommendation (XZ, WZ, JW), pp. 75–82.
KDD-2014-ZhangYW #realtime
Optimal real-time bidding for display advertising (WZ, SY, JW), pp. 1077–1086.
CIKM-2013-ZhaoZW #collaboration #interactive
Interactive collaborative filtering (XZ, WZ, JW), pp. 1411–1420.
RecSys-2013-ZhangWCZ #personalisation #perspective #risk management
To personalize or not: a risk management perspective (WZ, JW, BC, XZ), pp. 229–236.
SIGIR-2013-ZhangCWY #collaboration #optimisation
Optimizing top-n collaborative filtering via dynamic negative item sampling (WZ, TC, JW, YY), pp. 785–788.
KDD-2012-ZhangZGYYL #optimisation
Joint optimization of bid and budget allocation in sponsored search (WZ, YZ, BG, YY, XY, TYL), pp. 1177–1185.
RecSys-2012-YangCZLY #feedback #mining #music #recommendation
Local implicit feedback mining for music recommendation (DY, TC, WZ, QL, YY), pp. 91–98.
RecSys-2012-ZhangTSWY #approach #image #recommendation #semantics
A semantic approach to recommending text advertisements for images (WZ, LT, XS, HW, YY), pp. 179–186.
SIGIR-2012-YangCZY #collaboration #mining
Collaborative filtering with short term preferences mining (DY, TC, WZ, YY), pp. 1043–1044.

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.