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Travelled to:
1 × Canada
1 × Switzerland
1 × United Kingdom
2 × China
8 × USA
Collaborated with:
P.S.Yu Z.(.Zhang Y.Chang X.Wu S.Yang Z.Zheng A.J.Smola H.Zha S.Vadrevu Y.Zhang B.L.Tseng D.Agarwal B.Chen J.Bian A.Dong Y.Xu Z.Zhang S.Lamkhede O.Chapelle
Talks about:
cluster (4) relat (3) learn (3) data (3) recommend (2) framework (2) predict (2) context (2) multi (2) rank (2)

Person: Bo Long

DBLP DBLP: Long:Bo

Contributed to:

CIKM 20122012
SIGIR 20122012
CIKM 20112011
KDD 20112011
SIGIR 20112011
CIKM 20102010
SIGIR 20102010
CIKM 20092009
ICML 20072007
KDD 20072007
ICML 20062006
KDD 20062006
KDD 20052005

Wrote 13 papers:

CIKM-2012-LongBDC #e-commerce #predict
Enhancing product search by best-selling prediction in e-commerce (BL, JB, AD, YC), pp. 2479–2482.
SIGIR-2012-YangSLZC #network #predict #social
Friend or frenemy?: predicting signed ties in social networks (SHY, AJS, BL, HZ, YC), pp. 555–564.
CIKM-2011-XuZYL #set
Pattern change discovery between high dimensional data sets (YX, ZZ, PSY, BL), pp. 1097–1106.
KDD-2011-AgarwalCL #locality #modelling #multi #recommendation
Localized factor models for multi-context recommendation (DA, BCC, BL), pp. 609–617.
SIGIR-2011-YangLSZZ #collaboration #learning #recommendation #using
Collaborative competitive filtering: learning recommender using context of user choice (SHY, BL, AJS, HZ, ZZ), pp. 295–304.
CIKM-2010-LongCVYZ #ranking
Ranking with auxiliary data (BL, YC, SV, SHY, ZZ), pp. 1489–1492.
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-LongLVZT #adaptation #framework
A risk minimization framework for domain adaptation (BL, SL, SV, YZ, BLT), pp. 1347–1356.
ICML-2007-LongZWY #clustering #relational #symmetry
Relational clustering by symmetric convex coding (BL, Z(Z, XW, PSY), pp. 569–576.
KDD-2007-LongZY #clustering #framework #probability #relational
A probabilistic framework for relational clustering (BL, Z(Z, PSY), pp. 470–479.
ICML-2006-LongZWY #clustering #multi #relational
Spectral clustering for multi-type relational data (BL, Z(Z, XW, PSY), pp. 585–592.
KDD-2006-LongWZY #graph #learning
Unsupervised learning on k-partite graphs (BL, XW, Z(Z, PSY), pp. 317–326.
KDD-2005-LongZY #clustering #composition
Co-clustering by block value decomposition (BL, Z(Z, PSY), pp. 635–640.
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.