BibSLEIGH — Belle_L

Travelled to:

1 × China
1 × Portugal
1 × Switzerland
1 × United Kingdom
2 × Canada
8 × USA

Collaborated with:

Y.Chi X.Song C.Lin Y.Zhang J.Tatemura J.Yang M.Sun W.Chu K.Hino K.Chen J.Bai S.Vadrevu B.Long O.Chapelle A.Qamra E.Y.Chang M.R.Naphade J.R.Smith Y.Chang Z.Zheng G.Sun L.Zhang B.Chen J.Guo S.Reddy K.C.Sia J.Cho M.Zinkevich L.Li A.Thomas S.Lamkhede D.Zhou S.Zhu S.Basu P.K.Shivaswamy K.Q.Weinberger R.Lu C.K.Wong L.P.Heck K.Zhou G.Xue H.Zha A.Natsev C.Neti H.J.Nock W.H.Adams

Talks about:

learn (6) rank (5) base (4) blogospher (3) tempor (3) person (3) adapt (3) communiti (2) cluster (2) analysi (2)

Person: Belle L. Tseng

DBLP: Tseng:Belle_L=

Contributed to:

2011

2010

2009

2008

2007

2006

2005

2003

2002

Wrote 19 papers:

CIKM-2011-ZhangYCT #detection: A machine-learned proactive moderation system for auction fraud detection (LZ, JY, WC, BLT), pp. 2501–2504.
KDD-2011-ChenGTY #rating: User reputation in a comment rating environment (BCC, JG, BLT, JY), pp. 159–167.
KDD-2011-ChuZLTT #data type #learning #online: Unbiased online active learning in data streams (WC, MZ, LL, AT, BLT), pp. 195–203.
KDD-2010-ChapelleSVWZT #learning #multi #ranking #web: Multi-task learning for boosting with application to web search ranking (OC, PKS, SV, KQW, YZ, BLT), pp. 1189–1198.
SIGIR-2010-LongCZCZT #learning #optimisation #ranking: Active learning for ranking through expected loss optimization (BL, OC, YZ, YC, ZZ, BLT), pp. 267–274.
CIKM-2009-BaiZXZSTZC #learning #multi #rank #web: Multi-task learning for learning to rank in web search (JB, KZ, GRX, HZ, GS, BLT, ZZ, YC), pp. 1549–1552.
CIKM-2009-ChenBRT #adaptation #effectiveness #on the #similarity: On domain similarity and effectiveness of adapting-to-rank (KC, JB, SR, BLT), pp. 1601–1604.
CIKM-2009-LongLVZT #adaptation #framework: A risk minimization framework for domain adaptation (BL, SL, SV, YZ, BLT), pp. 1347–1356.
CIKM-2008-ChenLWSHT #adaptation #named #ranking: Trada: tree based ranking function adaptation (KC, RL, CKW, GS, LPH, BLT), pp. 1143–1152.
KDD-2008-SiaCCT #performance #query: Efficient computation of personal aggregate queries on blogs (KCS, JC, YC, BLT), pp. 632–640.
CIKM-2007-SongCHT #identification: Identifying opinion leaders in the blogosphere (XS, YC, KH, BLT), pp. 971–974.
KDD-2007-ChiSZHT #clustering: Evolutionary spectral clustering by incorporating temporal smoothness (YC, XS, DZ, KH, BLT), pp. 153–162.
KDD-2007-ChiZSTT #analysis #community: Structural and temporal analysis of the blogosphere through community factorization (YC, SZ, XS, JT, BLT), pp. 163–172.
CIKM-2006-ChiTT #analysis #named: Eigen-trend: trend analysis in the blogosphere based on singular value decompositions (YC, BLT, JT), pp. 68–77.
CIKM-2006-QamraTC #clustering #mining #using: Mining blog stories using community-based and temporal clustering (AQ, BLT, EYC), pp. 58–67.
SIGIR-2006-SongTLS #data flow #personalisation #recommendation: Personalized recommendation driven by information flow (XS, BLT, CYL, MTS), pp. 509–516.
KDD-2005-SongLTS #behaviour #modelling #predict: Modeling and predicting personal information dissemination behavior (XS, CYL, BLT, MTS), pp. 479–488.
SIGIR-2003-LinNNNSTNA #multimodal #using #video: User-trainable video annotation using multimodal cues (CYL, MRN, AN, CN, JRS, BLT, HJN, WHA), pp. 403–404.
ICPR-v2-2002-NaphadeBSLT #approach #modelling #retrieval #statistics #video: A Statistical Modeling Approach to Content Based Video Retrieval (MRN, SB, JRS, CYL, BLT), pp. 953–956.