BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Australia
1 × China
1 × Greece
1 × USA
Collaborated with:
G.Cong C.S.Jensen L.Chen B.C.Ooi T.Guo M.L.Yiu Y.Cui X.Xiao B.Cui C.Zhang J.J.Ng N.Phan D.Wu
Talks about:
spatial (4) retriev (4) keyword (4) effici (4) queri (3) system (2) object (2) relev (2) data (2) web (2)

Person: Xin Cao


Contributed to:

SIGMOD 20152015
VLDB 20142014
SIGMOD 20132013
VLDB 20122012
SIGMOD 20112011
VLDB 20102010
CIKM 20092009

Wrote 10 papers:

SIGMOD-2015-GuoCC #algorithm #keyword #performance #query
Efficient Algorithms for Answering the m-Closest Keywords Query (TG, XC, GC), pp. 405–418.
Retrieving Regions of Interest for User Exploration (XC, GC, CSJ, MLY), pp. 733–744.
VLDB-2014-ChenCCC #named #performance
SOPS: A System for Efficient Processing of Spatial-Keyword Publish/Subscribe (LC, YC, GC, XC), pp. 1601–1604.
SIGMOD-2013-ChenCC #performance #query
An efficient query indexing mechanism for filtering geo-textual data (LC, GC, XC), pp. 749–760.
VLDB-2012-CaoCCX #keyword
Keyword-aware Optimal Route Search (XC, LC, GC, XX), pp. 1136–1147.
VLDB-2012-CaoCJNOPW #named #performance #retrieval #web
SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects (XC, GC, CSJ, JJN, BCO, NTP, DW), pp. 1914–1917.
SIGMOD-2011-CaoCJO #keyword #query
Collective spatial keyword querying (XC, GC, CSJ, BCO), pp. 373–384.
VLDB-2010-CaoCJ #web
Retrieving Top-k Prestige-Based Relevant Spatial Web Objects (XC, GC, CSJ), pp. 373–384.
VLDB-2010-CaoCJ10a #mining #semantics
Mining Significant Semantic Locations From GPS Data (XC, GC, CSJ), pp. 1009–1020.
CIKM-2009-CaoCCJZ #categorisation #modelling #retrieval #using
The use of categorization information in language models for question retrieval (XC, GC, BC, CSJ, CZ), pp. 265–274.

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.