Travelled to:1 × Australia
1 × USA
Collaborated with:N.Liu E.Zhong Y.Shi S.Ahn A.Korattikara M.Welling X.Yi L.Hong N.N.Liu
Talks about:scale (2) larg (2) recommend (1) distribut (1) discrimin (1) stochast (1) gradient (1) bayesian (1) content (1) profil (1)
Person: Suju Rajan
DBLP: Rajan:Suju
Contributed to:
2015
2014Wrote 3 papers:
- KDD-2015-AhnKLRW #distributed #matrix #probability #scalability #using
- Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC (SA, AK, NL, SR, MW), pp. 9–18.
- KDD-2015-ZhongLSR #recommendation #scalability
- Building Discriminative User Profiles for Large-scale Content Recommendation (EZ, NL, YS, SR), pp. 2277–2286.
- RecSys-2014-YiHZLR #personalisation
- Beyond clicks: dwell time for personalization (XY, LH, EZ, NNL, SR), pp. 113–120.