Travelled to:1 × Canada
1 × Portugal
1 × Singapore
1 × USA
2 × Australia
2 × China
Collaborated with:Y.Yu S.Xu Z.Su L.Yang J.Guo D.Han G.Zheng B.Fei Y.Cao B.Yang J.Chen Q.Jin S.Zhao L.Zhang E.Yao O.Jin K.Chen X.Zhang X.Wu H.Guo Z.Guo M.Nagarajan A.D.Wilkins B.J.Bachman I.B.Novikov P.J.Haas M.E.Terrón-Díaz S.Bhatia A.K.Adikesavan J.J.Labrie S.Regenbogen C.M.Buchovecky C.R.Pickering L.Kato A.M.Lisewski A.Lelescu H.Zhang S.Boyer G.Weber Y.Chen L.A.Donehower W.S.Spangler O.Lichtarge
Talks about:social (4) discoveri (3) communiti (3) topic (3) model (3) use (3) recommend (2) retriev (2) inform (2) explor (2)
Person: Shenghua Bao
DBLP: Bao:Shenghua
Contributed to:
2015
20142011
20102009200820082007Wrote 11 papers:
- KDD-2015-NagarajanWBNBHT #analysis #predict
- Predicting Future Scientific Discoveries Based on a Networked Analysis of the Past Literature (MN, ADW, BJB, IBN, SB, PJH, METD, SB, AKA, JJL, SR, CMB, CRP, LK, AML, AL, HZ, SB, GW, YC, LAD, WSS, OL), pp. 2019–2028.
- 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.
- SIGIR-2014-YaoZJBCSY #modelling #probability #topic
- Probabilistic text modeling with orthogonalized topics (EY, GZ, OJ, SB, KC, ZS, YY), pp. 907–910.
- SIGIR-2011-ZhengGYXBSHY #community #mining #topic
- Mining topics on participations for community discovery (GZ, JG, LY, SX, SB, ZS, DH, YY), pp. 445–454.
- CIKM-2010-ZhengGYXBSHY #community #graph #interactive #topic
- A topical link model for community discovery in textual interaction graph (GZ, JG, LY, SX, SB, ZS, DH, YY), pp. 1613–1616.
- CIKM-2009-YangXBHSY #case study #cumulative #generative #information retrieval #social #using
- A study of information retrieval on accumulative social descriptions using the generation features (LY, SX, SB, DH, ZS, YY), pp. 721–730.
- CIKM-2009-ZhangYWGGBYS #documentation #mining #named #social #web
- sDoc: exploring social wisdom for document enhancement in web mining (XZ, LY, XW, HG, ZG, SB, YY, ZS), pp. 395–404.
- CIKM-2008-BaoYFXSY #social #using
- Boosting social annotations using propagation (SB, BY, BF, SX, ZS, YY), pp. 1507–1508.
- CIKM-2008-GuoXBY #community #recommendation
- Tapping on the potential of q&a community by recommending answer providers (JG, SX, SB, YY), pp. 921–930.
- SIGIR-2008-XuBFSY #folksonomy #personalisation
- Exploring folksonomy for personalized search (SX, SB, BF, ZS, YY), pp. 155–162.
- CIKM-2007-XuBCY #information retrieval #social #using
- Using social annotations to improve language model for information retrieval (SX, SB, YC, YY), pp. 1003–1006.