Travelled to:1 × China
1 × France
1 × United Kingdom
2 × Canada
3 × USA
Collaborated with:J.Caverlee Z.Cheng E.Khabiri S.Kashoob Y.Liang D.Z.Sui K.Lee B.Eoff C.Hsu J.McGee
Talks about:web (6) base (5) time (4) real (4) communiti (3) social (3) crowd (3) influenc (2) predict (2) model (2)
Person: Krishna Yeswanth Kamath
DBLP: Kamath:Krishna_Yeswanth
Contributed to:
2013
2013201220122011
201120102010Wrote 10 papers:
- CIKM-2013-KamathC #learning #predict #what
- Spatio-temporal meme prediction: learning what hashtags will be popular where (KYK, JC), pp. 1341–1350.
- 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.
- 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-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.