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: Chakrabarti:Soumen
Contributed to:
2014
20142011
20102009
20092008
2007200620052005
20042003200220022001200019991999199819981997
1996
1996
1995
1993
1993Wrote 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.