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Travelled to:
1 × Australia
1 × Canada
1 × Chile
1 × China
1 × Germany
2 × United Kingdom
3 × USA
Collaborated with:
Y.Chang B.Bhanu H.Deng J.Bian Z.Zheng L.Li H.Zha B.Long C.Liao P.Yin K.Chang X.He S.Reddy R.A.Baeza-Yates Y.Li H.Wang C.Zhai X.Li F.Li S.Ji A.Zhang A.Goyal W.Kong C.A.Gunter J.Han
Talks about:
queri (4) complet (3) auto (3) feedback (2) process (2) search (2) enhanc (2) relev (2) model (2) click (2)

Person: Anlei Dong

DBLP DBLP: Dong:Anlei

Contributed to:

SIGIR 20152015
KDD 20142014
SIGIR 20142014
CIKM 20122012
CIKM 20112011
CIKM 20092009
SIGIR 20092009
ICPR v2 20042004
ICPR v3 20022002
MLDM 20012001

Wrote 11 papers:

SIGIR-2015-LiDDCZB #behaviour #markov #process #query
Analyzing User’s Sequential Behavior in Query Auto-Completion via Markov Processes (LL, HD, AD, YC, HZ, RABY), pp. 123–132.
SIGIR-2015-ZhangGKDDCGH #adaptation #feedback #named #query
adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback (AZ, AG, WK, HD, AD, YC, CAG, JH), pp. 143–152.
KDD-2014-LiDDCZ #identification #process
Identifying and labeling search tasks via query-based hawkes processes (LL, HD, AD, YC, HZ), pp. 731–740.
SIGIR-2014-LiDWDCZ #2d #query
A two-dimensional click model for query auto-completion (YL, AD, HW, HD, YC, CZ), pp. 455–464.
CIKM-2012-LongBDC #e-commerce #predict
Enhancing product search by best-selling prediction in e-commerce (BL, JB, AD, YC), pp. 2479–2482.
CIKM-2011-DongBHRC #optimisation #personalisation #recommendation
User action interpretation for personalized content optimization in recommender systems (AD, JB, XH, SR, YC), pp. 2129–2132.
CIKM-2009-LiLJZCD #evaluation #ranking #robust #web
Incorporating robustness into web ranking evaluation (XL, FL, SJ, ZZ, YC, AD), pp. 2007–2010.
SIGIR-2009-ChangDLZ #ranking #topic
Enhancing topical ranking with preferences from click-through data (YC, AD, CL, ZZ), pp. 666–667.
ICPR-v2-2004-DongB #database #image #modelling
Discriminant Features for Model-Based Image Databases (AD, BB), pp. 997–1000.
ICPR-v3-2002-YinBCD #performance #retrieval
Improving Retrieval Performance by Long-term Relevance Information (PYY, BB, KCC, AD), p. 533–?.
MLDM-2001-BhanuD #clustering #concept #feedback #fuzzy #learning
Concepts Learning with Fuzzy Clustering and Relevance Feedback (BB, AD), pp. 102–116.
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.