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Travelled to:
1 × Brazil
1 × Egypt
1 × Germany
1 × Greece
1 × Norway
1 × United Kingdom
14 × USA
2 × Canada
2 × China
2 × France
Collaborated with:
S.Sarawagi B.Dom K.A.Yelick A.Agarwal S.Godbole G.Ramakrishnan A.Dubey C.Bhattacharyya G.Limaye S.Banerjee S.Aggarwal J.Mirchandani A.Nandi S.Garg K.Ramamritham S.Roy M.V.Soundalgekar M.Joshi V.Tawde M.v.d.Berg P.Indyk M.Gupta J.Choi S.Sudarshan S.Kulkarni A.Singh R.Khanna U.Sawant C.Bhattacharyya S.Srivastava M.Subramanyam M.Tiwari R.Agrawal P.Raghavan M.Adler M.Mitzenmacher L.E.Rasmussen A.De S.Bhattacharya P.Bhattacharya N.Ganguly S.Pandey S.Roy C.Olston J.Cho V.Kacholia S.Pandit R.Desai H.Karambelkar C.A.Phillips A.S.Schulz D.B.Shmoys C.Stein J.Wein B.Aditya G.Bhalotia A.Hulgeri C.Nakhe Parag
Talks about:
search (6) learn (6) rank (6) use (6) web (5) databas (4) text (4) mine (4) hypertext (3) distribut (3)

Person: Soumen Chakrabarti

DBLP DBLP: Chakrabarti:Soumen

Contributed to:

CIKM 20142014
KDD 20142014
KDD 20112011
VLDB 20102010
KDD 20092009
SIGIR 20092009
KDD 20082008
ICML 20072007
KDD 20062006
SIGIR 20052005
VLDB 20052005
SIGMOD 20042004
KDD 20032003
KDD 20022002
VLDB 20022002
SIGIR 20012001
VLDB 20002000
SIGMOD 19991999
VLDB 19991999
SIGMOD 19981998
VLDB 19981998
VLDB 19971997
ICALP 19961996
PLDI 19961996
STOC 19951995
PPoPP 19931993
RTA 19931993

Wrote 30 papers:

CIKM-2014-DeBBGC #learning #linear
Learning a Linear Influence Model from Transient Opinion Dynamics (AD, SB, PB, NG, SC), pp. 401–410.
KDD-2014-SarawagiC #modelling #query #web
Open-domain quantity queries on web tables: annotation, response, and consensus models (SS, SC), pp. 711–720.
KDD-2011-DubeyCB #graph #ranking
Diversity in ranking via resistive graph centers (AD, SC, CB), pp. 78–86.
VLDB-2010-LimayeSC #using #web
Annotating and Searching Web Tables Using Entities, Types and Relationships (GL, SS, SC), pp. 1338–1347.
KDD-2009-KulkarniSRC #web #wiki
Collective annotation of Wikipedia entities in web text (SK, AS, GR, SC), pp. 457–466.
SIGIR-2009-BanerjeeCR #learning #query #rank
Learning to rank for quantity consensus queries (SB, SC, GR), pp. 243–250.
KDD-2008-ChakrabartiKSB #learning #ranking
Structured learning for non-smooth ranking losses (SC, RK, US, CB), pp. 88–96.
ICML-2007-AgarwalC #graph #learning #random #rank
Learning random walks to rank nodes in graphs (AA, SC), pp. 9–16.
KDD-2006-AgarwalCA #learning #rank
Learning to rank networked entities (AA, SC, SA), pp. 14–23.
SIGIR-2005-ChakrabartiMN #named #network
SPIN: searching personal information networks (SC, JM, AN), p. 674.
VLDB-2005-KacholiaPCSDK #bidirectional #database #graph #keyword
Bidirectional Expansion For Keyword Search on Graph Databases (VK, SP, SC, SS, RD, HK), pp. 505–516.
VLDB-2005-PandeyROCC #random #ranking
Shuffling a Stacked Deck: The Case for Partially Randomized Ranking of Search Engine Results (SP, SR, CO, JC, SC), pp. 781–792.
SIGMOD-2004-GargRC #monitoring #named #query #web
Web-CAM: Monitoring the dynamic Web to respond to Continual Queries (SG, KR, SC), pp. 927–928.
KDD-2003-SarawagiCG #learning #named #probability #topic
Cross-training: learning probabilistic mappings between topics (SS, SC, SG), pp. 177–186.
KDD-2002-GodboleSC #multi #scalability #using
Scaling multi-class support vector machines using inter-class confusion (SG, SS, SC), pp. 513–518.
VLDB-2002-AdityaBCHNS #database #keyword #named #relational
BANKS: Browsing and Keyword Searching in Relational Databases (BA, GB, SC, AH, CN, P, SS), pp. 1083–1086.
VLDB-2002-Chakrabarti #fine-grained #mining
Searching and Mining Fine-Grained Semi-Structured Data (SC).
VLDB-2002-ChakrabartiRS #classification #linear #multi #performance
Fast and Accurate Text Classification via Multiple Linear Discriminant Projections (SC, SR, MVS), pp. 658–669.
SIGIR-2001-ChakrabartiJT #topic #using
Enhanced Topic Distillation Using Text, Markup Tags, and Hyperlinks (SC, MJ, VT), pp. 208–216.
VLDB-2000-ChakrabartiSST #collaboration #mining #named
Memex: A Browsing Assistant for Collaborative Archiving and Mining of Surf Trails (SC, SS, MS, MT), pp. 603–606.
SIGMOD-1999-Chakrabarti #data mining #database #hypermedia #mining
Hypertext Databases and Data Mining (SC), p. 508.
VLDB-1999-ChakrabartiBD #distributed #hypermedia #resource management
Distributed Hypertext Resource Discovery Through Examples (SC, MvdB, BD), pp. 375–386.
SIGMOD-1998-ChakrabartiDI #categorisation #hypermedia #using
Enhanced Hypertext Categorization Using Hyperlinks (SC, BD, PI), pp. 307–318.
VLDB-1998-ChakrabartiSD #mining #using
Mining Surprising Patterns Using Temporal Description Length (SC, SS, BD), pp. 606–617.
VLDB-1997-ChakrabartiDAR #database #navigation #taxonomy #using
Using Taxonomy, Discriminants, and Signatures for Navigating in Text Databases (SC, BD, RA, PR), pp. 446–455.
ICALP-1996-ChakrabartiPSSSW #algorithm #scheduling
Improved Scheduling Algorithms for Minsum Criteria (SC, CAP, ASS, DBS, CS, JW), pp. 646–657.
PLDI-1996-ChakrabartiGC #analysis #communication #optimisation
Global Communication Analysis and Optimization (SC, MG, JDC), pp. 68–78.
STOC-1995-AdlerCMR #parallel #random
Parallel randomized load balancing (MA, SC, MM, LER), pp. 238–247.
PPoPP-1993-ChakrabartiY #distributed #implementation #memory management #multi
Implementing an Irregular Application on a Distributed Memory Multiprocessor (SC, KAY), pp. 169–178.
RTA-1993-ChakrabartiY #algorithm #correctness #distributed #memory management #on the
On the Correctness of a Distributed Memory Gröbner basis Algorithm (SC, KAY), pp. 77–91.

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