BibSLEIGH — Shaoping

Travelled to:

1 × Australia
1 × Chile
1 × France
1 × Ireland
1 × Korea
1 × Portugal
1 × United Kingdom
2 × China
4 × USA

Collaborated with:

M.Zhang Y.Liu Y.Zhang K.Zhang L.Ru K.Zhou J.Nie T.Wu C.Wang Y.Zhang A.Cui X.Wei Y.Jin S.Huo C.Wang Z.Liu H.Zhang Y.Fu R.Xiang M.Wang G.Lai Q.Xing C.Wei R.Cen B.Zhou Y.Chen J.Tang J.Sun X.Zhu M.Zheng J.Qian L.Yang D.Hou M.Kan

Talks about:

model (7) base (6) click (5) user (5) search (4) web (4) sentiment (3) incorpor (3) level (3) collabor (2)

Person: Shaoping Ma

DBLP: Ma:Shaoping

Contributed to:

2015

2014

2013

2012

2009

2008

2007

2005

2003

Wrote 20 papers:

SIGIR-2015-LiuCTS0MZ #predict: Different Users, Different Opinions: Predicting Search Satisfaction with Mouse Movement Information (YL, YC, JT, JS, MZ, SM, XZ), pp. 493–502.
SIGIR-2015-LiuLZ0M #web: Influence of Vertical Result in Web Search Examination (ZL, YL, KZ, MZ, SM), pp. 193–202.
SIGIR-2015-WangLWZNM #behaviour #modelling: Incorporating Non-sequential Behavior into Click Models (CW, YL, MW, KZ, JYN, SM), pp. 283–292.
CIKM-2014-Huo0LM #performance #query: Improving Tail Query Performance by Fusion Model (SH, MZ, YL, SM), pp. 559–568.
CIKM-2014-LiuWZNZM #web: From Skimming to Reading: A Two-stage Examination Model for Web Search (YL, CW, KZ, JYN, MZ, SM), pp. 849–858.
CIKM-2014-ZhangZZLM #comprehension #constraints #matrix: Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables (YZ, MZ, YZ, YL, SM), pp. 1189–1198.
SIGIR-2014-ZhangL0ZLM #analysis #modelling #recommendation #sentiment: Explicit factor models for explainable recommendation based on phrase-level sentiment analysis (YZ, GL, MZ, YZ, YL, SM), pp. 83–92.
SIGIR-2014-ZhangZ0LM #classification #overview #sentiment: Do users rate or review?: boost phrase-level sentiment labeling with review-level sentiment classification (YZ, HZ, MZ, YL, SM), pp. 1027–1030.
CIKM-2013-XingLNZMZ #modelling: Incorporating user preferences into click models (QX, YL, JYN, MZ, SM, KZ), pp. 1301–1310.
HT-2013-ZhangZLM #collaboration #framework #matrix: A general collaborative filtering framework based on matrix bordered block diagonal forms (YZ, MZ, YL, SM), pp. 219–224.
SIGIR-2013-WangLZMZQZ #modelling: Incorporating vertical results into search click models (CW, YL, MZ, SM, MZ, JQ, KZ), pp. 503–512.
SIGIR-2013-ZhangZLM #collaboration #matrix: Improve collaborative filtering through bordered block diagonal form matrices (YZ, MZ, YL, SM), pp. 313–322.
CIKM-2012-CuiZLMZ #twitter: Discover breaking events with popular hashtags in twitter (AC, MZ, YL, SM, KZ), pp. 1794–1798.
SIGIR-2012-WeiLZMRZ #novel #web: Fighting against web spam: a novel propagation method based on click-through data (CW, YL, MZ, SM, LR, KZ), pp. 395–404.
TPDL-2012-CuiYHKLZM #named #web: PrEV: Preservation Explorer and Vault for Web 2.0 User-Generated Content (AC, LY, DH, MYK, YL, MZ, SM), pp. 101–112.
CIKM-2009-CenLZZRM: Exploring relevance for clicks (RC, YL, MZ, BZ, LR, SM), pp. 1847–1850.
CIKM-2008-WangZRM #automation #online #ranking #topic #using: Automatic online news topic ranking using media focus and user attention based on aging theory (CW, MZ, LR, SM), pp. 1033–1042.
CIKM-2007-FuXLZM #formal method: A CDD-based formal model for expert finding (YF, RX, YL, MZ, SM), pp. 881–884.
ICDAR-2005-WeiMJ #algorithm #search-based #segmentation: Segmentation of Connected Chinese Characters Based on Genetic Algorithm (XW, SM, YJ), pp. 645–649.
ICDAR-2003-WuM #feature model #recognition: Feature Extraction by Hierarchical Overlapped Elastic Meshing for Handwritten Chinese Character Recognition (TW, SM), pp. 529–533.