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Travelled to:
1 × Australia
1 × Chile
1 × China
1 × France
1 × Switzerland
1 × Taiwan
1 × United Kingdom
2 × Austria
2 × Canada
5 × USA
Collaborated with:
K.Y.Kamath Z.Cheng K.Lee S.Webb C.Cao J.McGee E.Khabiri L.Liu Y.Liang H.Lu D.Z.Sui C.Hsu S.Kashoob C.Pu J.Bae A.Fayazi A.C.Squicciarini H.Barthwal V.Bachani B.Eoff
Talks about:
social (10) base (8) media (7) web (7) communiti (4) approach (4) predict (4) locat (4) time (4) real (4)

Person: James Caverlee

DBLP DBLP: Caverlee:James

Contributed to:

ECIR 20152015
RecSys 20152015
SIGIR 20152015
SIGIR 20142014
CIKM 20132013
HT 20132013
CIKM 20122012
HT 20122012
CIKM 20112011
SAC 20112011
SIGIR 20112011
CIKM 20102010
HT 20102010
SIGIR 20102010
CIKM 20082008
SIGIR 20062006
JCDL 20082008

Wrote 24 papers:

ECIR-2015-CaoC #analysis #behaviour #detection #social #social media
Detecting Spam URLs in Social Media via Behavioral Analysis (CC, JC), pp. 703–714.
ECIR-2015-LiangCC #approach #detection #social #social media
A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media (YL, JC, CC), pp. 233–244.
RecSys-2015-LuC #personalisation #recommendation
Exploiting Geo-Spatial Preference for Personalized Expert Recommendation (HL, JC), pp. 67–74.
SIGIR-2015-FayaziLCS #crowdsourcing #online
Uncovering Crowdsourced Manipulation of Online Reviews (AF, KL, JC, ACS), pp. 233–242.
SIGIR-2014-ChengCBB #approach #twitter
Who is the barbecue king of texas?: a geo-spatial approach to finding local experts on twitter (ZC, JC, HB, VB), pp. 335–344.
CIKM-2013-KamathC #learning #predict #what
Spatio-temporal meme prediction: learning what hashtags will be popular where (KYK, JC), pp. 1341–1350.
CIKM-2013-McGeeCC #predict #social #social media
Location prediction in social media based on tie strength (JM, JC, ZC), pp. 459–468.
HT-2013-LiangCCK #how #modelling #social #social media
How big is the crowd?: event and location based population modeling in social media (YL, JC, ZC, KYK), pp. 99–108.
CIKM-2012-KamathC #realtime #retrieval #web
Content-based crowd retrieval on the real-time web (KYK, JC), pp. 195–204.
CIKM-2012-KamathCCS #community #modelling #social #social media
Spatial influence vs. community influence: modeling the global spread of social media (KYK, JC, ZC, DZS), pp. 962–971.
HT-2012-KhabiriCK #predict #realtime #semantics #web
Predicting semantic annotations on the real-time web (EK, JC, KYK), pp. 219–228.
CIKM-2011-ChengCKL #towards #web
Toward traffic-driven location-based web search (ZC, JC, KYK, KL), pp. 805–814.
CIKM-2011-KamathC
Discovering trending phrases on information streams (KYK, JC), pp. 2245–2248.
CIKM-2011-LeeCCS #detection #social #social media
Content-driven detection of campaigns in social media (KL, JC, ZC, DZS), pp. 551–556.
CIKM-2011-McGeeCC #social #social media
A geographic study of tie strength in social media (JM, JC, ZC), pp. 2333–2336.
SAC-2011-HsuCK #clustering
Hierarchical comments-based clustering (CFH, JC, EK), pp. 1130–1137.
SIGIR-2011-CaverleeCEHKM #monitoring #named #realtime #web
CrowdTracker: enabling community-based real-time web monitoring (JC, ZC, BE, CFH, KYK, JM), pp. 1283–1284.
CIKM-2010-ChengCL #approach #twitter
You are where you tweet: a content-based approach to geo-locating twitter users (ZC, JC, KL), pp. 759–768.
CIKM-2010-KamathC #identification #realtime #web
Identifying hotspots on the real-time web (KYK, JC), pp. 1837–1840.
HT-2010-KashoobCK #ranking #social #web
Community-based ranking of the social web (SK, JC, KYK), pp. 141–150.
SIGIR-2010-LeeCW #machine learning #social
Uncovering social spammers: social honeypots + machine learning (KL, JC, SW), pp. 435–442.
CIKM-2008-WebbCP #predict #web
Predicting web spam with HTTP session information (SW, JC, CP), pp. 339–348.
SIGIR-2006-CaverleeLB #approach #distributed #query
Distributed query sampling: a quality-conscious approach (JC, LL, JB), pp. 340–347.
JCDL-2008-CaverleeLW #community #named #online #trust
Socialtrust: tamper-resilient trust establishment in online communities (JC, LL, SW), pp. 104–114.

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