Travelled to:1 × China
1 × France
2 × USA
Collaborated with:F.J.Provost T.Raeder C.Perlich O.Stitelman R.Hook X.Zhang A.Murray D.Chen M.H.Williams
Talks about:advertis (4) onlin (3) scalabl (2) network (2) target (2) use (2) inventori (1) dimension (1) transfer (1) supervis (1)
Person: Brian Dalessandro
DBLP: Dalessandro:Brian
Contributed to:
2014201320122009Wrote 6 papers:
- KDD-2014-DalessandroCRPWP #learning #online #scalability
- Scalable hands-free transfer learning for online advertising (BD, DC, TR, CP, MHW, FJP), pp. 1573–1582.
- KDD-2013-RaederPDSP #clustering #reduction #scalability #using
- Scalable supervised dimensionality reduction using clustering (TR, CP, BD, OS, FJP), pp. 1213–1221.
- KDD-2013-StitelmanPDHRP #detection #network #online #scalability #using
- Using co-visitation networks for detecting large scale online display advertising exchange fraud (OS, CP, BD, RH, TR, FJP), pp. 1240–1248.
- KDD-2012-PerlichDHSRP #online #optimisation
- Bid optimizing and inventory scoring in targeted online advertising (CP, BD, RH, OS, TR, FJP), pp. 804–812.
- KDD-2012-RaederSDPP #design #predict #robust
- Design principles of massive, robust prediction systems (TR, OS, BD, CP, FJP), pp. 1357–1365.
- KDD-2009-ProvostDHZM #network #online #privacy #social
- Audience selection for on-line brand advertising: privacy-friendly social network targeting (FJP, BD, RH, XZ, AM), pp. 707–716.