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Travelled to:
1 × Australia
1 × Ireland
1 × The Netherlands
2 × China
4 × USA
Collaborated with:
M.R.Lyu I.King H.Yang R.Chandrasekar C.Quirk A.Gupta C.Liu W.Zheng T.Xie
Talks about:
recommend (6) social (5) use (4) search (3) factor (3) learn (3) engin (3) probabilist (2) collabor (2) matrix (2)

Person: Hao Ma

DBLP DBLP: Ma:Hao

Contributed to:

SIGIR 20142014
SIGIR 20132013
ASE 20112011
SIGIR 20112011
CIKM 20092009
RecSys 20092009
SIGIR 20092009
CIKM 20082008
SIGIR 20072007

Wrote 13 papers:

SIGIR-2014-Ma #on the #recommendation #social
On measuring social friend interest similarities in recommender systems (HM), pp. 465–474.
SIGIR-2013-Ma #case study #recommendation #social
An experimental study on implicit social recommendation (HM), pp. 73–82.
ASE-2011-ZhengMLXK #mining #testing #web
Mining test oracles of web search engines (WZ, HM, MRL, TX, IK), pp. 408–411.
SIGIR-2011-MaLKL #modelling #probability #recommendation #web
Probabilistic factor models for web site recommendation (HM, CL, IK, MRL), pp. 265–274.
CIKM-2009-MaCQG #game studies #using
Improving search engines using human computation games (HM, RC, CQ, AG), pp. 275–284.
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.
RecSys-2009-MaLK #learning #recommendation #trust
Learning to recommend with trust and distrust relationships (HM, MRL, IK), pp. 189–196.
SIGIR-2009-MaCQG #game studies #using
Page hunt: improving search engines using human computation games (HM, RC, CQ, AG), pp. 746–747.
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.
SIGIR-2007-MaKL #collaboration #effectiveness #predict
Effective missing data prediction for collaborative filtering (HM, IK, MRL), pp. 39–46.

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