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Travelled to:
1 × Australia
1 × Austria
1 × Brazil
1 × France
1 × Germany
1 × Israel
1 × The Netherlands
1 × United Kingdom
3 × Canada
3 × China
6 × USA
Collaborated with:
M.R.Lyu H.Ma H.Deng H.Yang H.Yang B.Li Z.Xu R.Jin T.Lau X.Xin K.Huang R.Rahimi A.Shakery T.Zhao J.J.McAuley G.Ling P.Garg X.Yu Z.Lin W.Wei J.H.M.Lee P.Fung W.Lee C.Gao J.Zeng D.L.0001 S.Zhu C.Liu F.Y.Duan L.Chan L.Xu J.Han C.Cheng F.Xia T.Zhang R.Agrawal H.Huang W.Zheng T.Xie X.Si E.Y.Chang J.Ye C.Lin X.X.0001
Talks about:
learn (9) recommend (6) social (6) question (5) collabor (4) inform (4) factor (4) model (4) communiti (3) retriev (3)

Person: Irwin King

DBLP DBLP: King:Irwin

Facilitated 1 volumes:

RecSys 2013Ed

Contributed to:

CIKM 20142014
RecSys 20142014
CIKM 20122012
ASE 20112011
CIKM 20112011
SIGIR 20112011
CIKM 20102010
ICML 20102010
CIKM 20092009
ICML 20092009
KDD 20092009
RecSys 20092009
SIGIR 20092009
CIKM 20082008
ICDAR 20072007
SIGIR 20072007
ICML 20042004
MLDM 19991999
ICPR 19981998
ICPR 19961996
JCDL 20122012
ESEC/FSE 20182018
ASE 20192019

Wrote 39 papers:

CIKM-2014-RahimiSK #analysis #axiom #information retrieval
Axiomatic Analysis of Cross-Language Information Retrieval (RR, AS, IK), pp. 1875–1878.
CIKM-2014-ZhaoMK #collaboration #personalisation #ranking #social
Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering (TZ, JJM, IK), pp. 261–270.
RecSys-2014-ChengXZKL
Gradient boosting factorization machines (CC, FX, TZ, IK, MRL), pp. 265–272.
RecSys-2014-LingLK #approach #recommendation
Ratings meet reviews, a combined approach to recommend (GL, MRL, IK), pp. 105–112.
CIKM-2012-GargKL #network #rating #social
Information propagation in social rating networks (PG, IK, MRL), pp. 2279–2282.
CIKM-2012-XinKALH #design #modelling
Do ads compete or collaborate?: designing click models with full relationship incorporated (XX, IK, RA, MRL, HH), pp. 1839–1843.
ASE-2011-ZhengMLXK #mining #testing #web
Mining test oracles of web search engines (WZ, HM, MRL, TX, IK), pp. 408–411.
CIKM-2011-LiKL #community
Question routing in community question answering: putting category in its place (BL, IK, MRL), pp. 2041–2044.
CIKM-2011-LiSLKC #identification #twitter
Question identification on twitter (BL, XS, MRL, IK, EYC), pp. 2477–2480.
CIKM-2011-YangZKL #how #learning #question #why
Can irrelevant data help semi-supervised learning, why and how? (HY, SZ, IK, MRL), pp. 937–946.
CIKM-2011-YuKL #approach #bidirectional #bottom-up #information management #top-down #towards
Towards a top-down and bottom-up bidirectional approach to joint information extraction (XY, IK, MRL), pp. 847–856.
SIGIR-2011-MaLKL #modelling #probability #recommendation #web
Probabilistic factor models for web site recommendation (HM, CL, IK, MRL), pp. 265–274.
CIKM-2010-LiK #community
Routing questions to appropriate answerers in community question answering services (BL, IK), pp. 1585–1588.
CIKM-2010-YangKL #feature model #learning #multi #online
Online learning for multi-task feature selection (HY, IK, MRL), pp. 1693–1696.
ICML-2010-XuJYKL #kernel #learning #multi #performance
Simple and Efficient Multiple Kernel Learning by Group Lasso (ZX, RJ, HY, IK, MRL), pp. 1175–1182.
ICML-2010-YangXKL #learning #online
Online Learning for Group Lasso (HY, ZX, IK, MRL), pp. 1191–1198.
CIKM-2009-DengKL #retrieval #using
Enhancing expertise retrieval using community-aware strategies (HD, IK, MRL), pp. 1733–1736.
CIKM-2009-LinLK #named #novel #similarity
MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching (ZL, MRL, IK), pp. 1613–1616.
CIKM-2009-MaYKL #collaboration #consistency #matrix #statistics
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering (HM, HY, IK, MRL), pp. 767–776.
CIKM-2009-XinKDL #framework #multi #random #recommendation #social
A social recommendation framework based on multi-scale continuous conditional random fields (XX, IK, HD, MRL), pp. 1247–1256.
ICML-2009-XuJYLK #feature model
Non-monotonic feature selection (ZX, RJ, JY, MRL, IK), pp. 1145–1152.
KDD-2009-DengLK #algorithm #graph
A generalized Co-HITS algorithm and its application to bipartite graphs (HD, MRL, IK), pp. 239–248.
RecSys-2009-MaLK #learning #recommendation #trust
Learning to recommend with trust and distrust relationships (HM, MRL, IK), pp. 189–196.
SIGIR-2009-DengKL #graph #modelling #query #representation
Entropy-biased models for query representation on the click graph (HD, IK, MRL), pp. 339–346.
SIGIR-2009-MaKL #learning #recommendation #social #trust
Learning to recommend with social trust ensemble (HM, IK, MRL), pp. 203–210.
CIKM-2008-MaYKL #learning #query #semantics
Learning latent semantic relations from clickthrough data for query suggestion (HM, HY, IK, MRL), pp. 709–718.
CIKM-2008-MaYLK #mining #network #process #social #using
Mining social networks using heat diffusion processes for marketing candidates selection (HM, HY, MRL, IK), pp. 233–242.
CIKM-2008-MaYLK08a #matrix #named #probability #recommendation #social #using
SoRec: social recommendation using probabilistic matrix factorization (HM, HY, MRL, IK), pp. 931–940.
CIKM-2008-XuJHLK #categorisation
Semi-supervised text categorization by active search (ZX, RJ, KH, MRL, IK), pp. 1517–1518.
ICDAR-2007-WeiKL
Bibliographic Attributes Extraction with Layer-upon-Layer Tagging (WW, IK, JHML), pp. 804–808.
SIGIR-2007-MaKL #collaboration #effectiveness #predict
Effective missing data prediction for collaborative filtering (HM, IK, MRL), pp. 39–46.
SIGIR-2007-YangKL #named #web
DiffusionRank: a possible penicillin for web spamming (HY, IK, MRL), pp. 431–438.
ICML-2004-HuangYKL #classification #learning #scalability
Learning large margin classifiers locally and globally (KH, HY, IK, MRL).
MLDM-1999-KingL #clustering #information retrieval #learning
Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval (IK, TKL), pp. 116–130.
ICPR-1998-DuanKC0 #algorithm
Intra-block algorithm for digital watermarking (FYD, IK, LWC, LX), pp. 1589–1591.
ICPR-1996-FungLK #2d #detection #random
Randomized generalized Hough transform for 2-D gray scale object detection (PFF, WSL, IK), pp. 511–515.
JCDL-2012-DengHLK #modelling #network #ranking
Modeling and exploiting heterogeneous bibliographic networks for expertise ranking (HD, JH, MRL, IK), pp. 71–80.
ESEC-FSE-2018-GaoZ0LLK #named
INFAR: insight extraction from app reviews (CG, JZ, DL0, CYL, MRL, IK), pp. 904–907.
ASE-2019-GaoZX0LK #automation #generative #overview
Automating App Review Response Generation (CG, JZ, XX0, DL0, MRL, IK), pp. 163–175.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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