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Travelled to:
1 × Australia
1 × Chile
1 × China
1 × France
1 × Germany
1 × Norway
1 × Portugal
1 × Singapore
1 × Switzerland
1 × The Netherlands
11 × USA
2 × Canada
2 × United Kingdom
Collaborated with:
M.Fontoura A.Z.Broder E.Gabrilovich L.Riedel M.Gurevich A.Ahmed S.Pandey Z.Bar-Yossef S.Vassilvitskii E.J.Shekita M.Bendersky A.J.Smola T.Risch S.Y.W.Su G.M.Lohman H.Becker B.Pang L.G.Pueyo D.Agarwal J.Foley P.Ciccolo D.Metzler R.Kumar A.Tomkins H.Pirahesh C.Zhang A.Shraer S.K.Tyler K.Punera X.Wang B.Yang P.M.Schwarz L.M.Haas E.T.Lin W.Zhang J.Yang J.J.Harmsen D.Lepikhin G.Beskales Y.Low M.Aly R.Hall R.Khanna V.Ercegovac N.Li M.R.Mediano A.Anagnostopoulos A.Dasgupta P.Drineas B.Harb M.W.Mahoney N.Zhang P.J.Haas A.Halverson M.Mörschel B.Kanagal J.Yuan J.Liu S.Venkatesan X.Zhu J.Y.Zien G.Mavromatis J.Wang F.Radlinski C.Olston D.Chakrabarti D.Diklic M.Sayyadian A.Joshi T.Zhang M.Ciaramita V.Murdock V.Plachouras M.Li D.G.Andersen J.W.Park J.Long B.Su R.Motwani S.U.Nabar R.Panigrahy Y.Xu K.S.Beyer R.Cochrane J.Kleewein G.Lapis R.Lyle F.Özcan N.Seemann T.C.Truong B.V.d.Linden B.Vickery
Talks about:
advertis (12) queri (9) search (7) learn (5) xml (5) web (5) contextu (4) retriev (4) invert (4) inform (4)

Person: Vanja Josifovski

DBLP DBLP: Josifovski:Vanja

Contributed to:

KDD 20152015
SIGIR 20152015
KDD 20142014
OSDI 20142014
VLDB 20132013
VLDB 20122012
CIKM 20112011
KDD 20112011
VLDB 20112011
CIKM 20102010
SIGIR 20102010
CIKM 20092009
SIGIR 20092009
CIKM 20082008
SIGIR 20082008
VLDB 20082008
CIKM 20072007
KDD 20072007
SIGIR 20072007
CIKM 20062006
CIKM 20052005
PODS 20052005
SIGMOD 20052005
VLDB 20052005
PODS 20042004
VLDB 20042004
SIGMOD 20022002
VLDB 19991999
CIKM 19971997

Wrote 39 papers:

KDD-2015-ZhangAYJS #email #information management
Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails (WZ, AA, JY, VJ, AJS), pp. 2257–2266.
SIGIR-2015-FoleyBJ #learning #web
Learning to Extract Local Events from the Web (JF, MB, VJ), pp. 423–432.
KDD-2014-BenderskyPHJL #retrieval #scalability #video
Up next: retrieval methods for large scale related video suggestion (MB, LGP, JJH, VJ, DL), pp. 1769–1778.
OSDI-2014-LiAPSAJLSS #distributed #machine learning #parametricity #scalability
Scaling Distributed Machine Learning with the Parameter Server (ML, DGA, JWP, AJS, AA, VJ, JL, EJS, BYS), pp. 583–598.
VLDB-2013-ShraerGFJ #social
Top-k Publish-Subscribe for Social Annotation of News (AS, MG, MF, VJ), pp. 385–396.
VLDB-2012-KanagalAPJYP #behaviour #learning #recommendation #taxonomy #using
Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior (BK, AA, SP, VJ, JY, LGP), pp. 956–967.
CIKM-2011-BeskalesFGVJ
Factorization-based lossless compression of inverted indices (GB, MF, MG, SV, VJ), pp. 327–332.
CIKM-2011-BroderGJ #challenge #information retrieval
Information retrieval challenges in computational advertising (AZB, EG, VJ), pp. 2611–2612.
CIKM-2011-FontouraGJV #encoding
Efficiently encoding term co-occurrences in inverted indexes (MF, MG, VJ, SV), pp. 307–316.
CIKM-2011-TylerPGJ #modelling #retrieval
Retrieval models for audience selection in display advertising (SKT, SP, EG, VJ), pp. 593–598.
KDD-2011-AhmedLAJS #behaviour #distributed #scalability
Scalable distributed inference of dynamic user interests for behavioral targeting (AA, YL, MA, VJ, AJS), pp. 114–122.
VLDB-2011-FontouraJLVZZ #evaluation #query
Evaluation Strategies for Top-k Queries over Memory-Resident Inverted Indexes (MF, VJ, JL, SV, XZ, JYZ), pp. 1213–1224.
CIKM-2010-BroderGJMMW #web
Exploiting site-level information to improve web search (AZB, EG, VJ, GM, DM, JW), pp. 1393–1396.
SIGIR-2010-BroderGJ #challenge #information retrieval
Information retrieval challenges in computational advertising (AZB, EG, VJ), p. 908.
SIGIR-2010-PandeyPFJ #query
Estimating advertisability of tail queries for sponsored search (SP, KP, MF, VJ), pp. 563–570.
CIKM-2009-AgarwalGHJK
Translating relevance scores to probabilities for contextual advertising (DA, EG, RH, VJ, RK), pp. 1899–1902.
CIKM-2009-BeckerBGJP #web #what
What happens after an ad click?: quantifying the impact of landing pages in web advertising (HB, AZB, EG, VJ, BP), pp. 57–66.
SIGIR-2009-BeckerBGJP
Context transfer in search advertising (HB, AZB, EG, VJ, BP), pp. 656–657.
CIKM-2008-BroderCFGJMMP #learning
To swing or not to swing: learning when (not) to advertise (AZB, MC, MF, EG, VJ, DM, VM, VP), pp. 1003–1012.
CIKM-2008-BroderCFGJR #feedback #using #web
Search advertising using web relevance feedback (AZB, PC, MF, EG, VJ, LR), pp. 1013–1022.
CIKM-2008-ErcegovacJLMS #query
Supporting sub-document updates and queries in an inverted index (VE, VJ, NL, MRM, EJS), pp. 659–668.
CIKM-2008-WangBFJ
A note on search based forecasting of ad volume in contextual advertising (XW, AZB, MF, VJ), pp. 1343–1344.
SIGIR-2008-RadlinskiBCGJR #approach #optimisation #query
Optimizing relevance and revenue in ad search: a query substitution approach (FR, AZB, PC, EG, VJ, LR), pp. 403–410.
VLDB-2008-FontouraJKOTV #taxonomy #using
Relaxation in text search using taxonomies (MF, VJ, RK, CO, AT, SV), pp. 672–683.
CIKM-2007-AnagnostopoulosBGJR
Just-in-time contextual advertising (AA, AZB, EG, VJ, LR), pp. 331–340.
KDD-2007-AgarwalBCDJS #multi
Estimating rates of rare events at multiple resolutions (DA, AZB, DC, DD, VJ, MS), pp. 16–25.
KDD-2007-DasguptaDHJM #classification #feature model
Feature selection methods for text classification (AD, PD, BH, VJ, MWM), pp. 230–239.
SIGIR-2007-BroderFGJJZ #classification #query #robust #using #web
Robust classification of rare queries using web knowledge (AZB, MF, EG, AJ, VJ, TZ), pp. 231–238.
SIGIR-2007-BroderFJR #approach #semantics
A semantic approach to contextual advertising (AZB, MF, VJ, LR), pp. 559–566.
CIKM-2006-BroderFJKMNPTX #corpus #query
Estimating corpus size via queries (AZB, MF, VJ, RK, RM, SUN, RP, AT, YX), pp. 594–603.
CIKM-2005-FontouraJSY #optimisation
Optimizing cursor movement in holistic twig joins (MF, VJ, EJS, BY), pp. 784–791.
PODS-2005-Bar-YossefFJ #evaluation #query #xml
Buffering in query evaluation over XML streams (ZBY, MF, VJ), pp. 216–227.
SIGMOD-2005-OzcanCPKBJZ #relational #xml
System RX: One Part Relational, One Part XML (KSB, RC, VJ, JK, GL, GML, RL, , HP, NS, TCT, BVdL, BV, CZ), pp. 347–358.
VLDB-2005-ZhangHJLZ #cost analysis #learning #query #statistics #xml
Statistical Learning Techniques for Costing XML Queries (NZ, PJH, VJ, GML, CZ), pp. 289–300.
PODS-2004-Bar-YossefFJ #evaluation #memory management #on the #requirements #xml #xpath
On the Memory Requirements of XPath Evaluation over XML Streams (ZBY, MF, VJ), pp. 177–188.
VLDB-2004-HalversonJLPM #named #relational #xml
ROX: Relational Over XML (AH, VJ, GML, HP, MM), pp. 264–275.
SIGMOD-2002-JosifovskiSHL #named #query
Garlic: a new flavor of federated query processing for DB2 (VJ, PMS, LMH, ETL), pp. 524–532.
VLDB-1999-JosifovskiR #database #object-oriented
Integrating Heterogenous Overlapping Databases through Object-Oriented Transformations (VJ, TR), pp. 435–446.
CIKM-1997-JosifovskiS #specification
Incorporating Association Pattern and Operation Specification in ODMG’s OQL (VJ, SYWS), pp. 332–340.

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