Travelled to:1 × Australia
1 × China
1 × Spain
1 × Switzerland
2 × USA
Collaborated with:Q.Yuan L.Chen X.Zhang R.Fu M.X.Zhou W.Zheng S.Ding L.D.Bergman J.Chen Q.Jin S.Bao L.Zhang Z.Su Y.Yu L.Xiang Q.Yang J.Sun C.Y.Chi Q.Liao Y.Pan T.Matthews T.P.Moran D.R.Millen C.Lin I.Guy
Talks about:recommend (4) social (4) collabor (2) base (2) relationship (1) heterogen (1) waterloo (1) unexplor (1) research (1) categori (1)
Person: Shiwan Zhao
DBLP: Zhao:Shiwan
Contributed to:
2014
2011
2011
201020102008Wrote 6 papers:
- SIGIR-2014-ChenJZBZSY #category theory #recommendation
- Does product recommendation meet its waterloo in unexplored categories?: no, price comes to help (JC, QJ, SZ, SB, LZ, ZS, YY), pp. 667–676.
- CSCW-2011-ChiLPZMMZMLG #collaboration #research #social
- Smarter social collaboration at IBM research (CYC, QL, YP, SZ, TM, TPM, MXZ, DRM, CYL, IG), pp. 159–166.
- RecSys-2011-YuanCZ #recommendation #social
- Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation (QY, LC, SZ), pp. 245–252.
- KDD-2010-XiangYZCZYS #graph #recommendation
- Temporal recommendation on graphs via long- and short-term preference fusion (LX, QY, SZ, LC, XZ, QY, JS), pp. 723–732.
- RecSys-2010-ZhaoZYZZF #recommendation #social #what
- Who is talking about what: social map-based recommendation for content-centric social websites (SZ, MXZ, QY, XZ, WZ, RF), pp. 143–150.
- RecSys-2008-DingZYZFB #collaboration #fault #predict #statistics
- Boosting collaborative filtering based on statistical prediction errors (SD, SZ, QY, XZ, RF, LDB), pp. 3–10.