Travelled to:
1 × Brazil
1 × Canada
1 × China
1 × France
1 × Italy
1 × Russia
1 × Singapore
1 × Spain
1 × Switzerland
1 × United Kingdom
5 × USA
Collaborated with:
J.A.Aslam E.Kanoulas E.Yilmaz P.Metrikov R.Savell B.Carterette S.Rajput K.Dai S.Savev J.Allan M.Ekstrand-Abueg P.B.Golbus H.Fang
Talks about:
score (4) evalu (4) metasearch (3) collect (3) system (3) effect (3) queri (3) model (3) test (3) rank (3)
Person: Virgiliu Pavlu
DBLP: Pavlu:Virgiliu
Contributed to:
Wrote 18 papers:
- ECIR-2013-MetrikovPA #consistency #nondeterminism #optimisation
- Optimizing nDCG Gains by Minimizing Effect of Label Inconsistency (PM, VP, JAA), pp. 760–763.
- CIKM-2012-RajputEPA #documentation
- Constructing test collections by inferring document relevance via extracted relevant information (SR, MEA, VP, JAA), pp. 145–154.
- ECIR-2012-DaiPKA
- Extended Expectation Maximization for Inferring Score Distributions (KD, VP, EK, JAA), pp. 293–304.
- SIGIR-2012-MetrikovPA #performance #ranking
- Impact of assessor disagreement on ranking performance (PM, VP, JAA), pp. 1091–1092.
- CIKM-2011-RajputPGA #paradigm
- A nugget-based test collection construction paradigm (SR, VP, PBG, JAA), pp. 1945–1948.
- SIGIR-2011-KanoulasSMPA #algorithm #ranking #scalability #set
- A large-scale study of the effect of training set characteristics over learning-to-rank algorithms (EK, SS, PM, VP, JAA), pp. 1243–1244.
- SIGIR-2010-CarteretteKPF #design #reuse
- Reusable test collections through experimental design (BC, EK, VP, HF), pp. 547–554.
- SIGIR-2010-KanoulasDPA #modelling #robust
- Score distribution models: assumptions, intuition, and robustness to score manipulation (EK, KD, VP, JAA), pp. 242–249.
- ECIR-2009-CarterettePKAA #query
- If I Had a Million Queries (BC, VP, EK, JAA, JA), pp. 288–300.
- SIGIR-2009-AslamKPSY #documentation #effectiveness #performance #ranking
- Document selection methodologies for efficient and effective learning-to-rank (JAA, EK, VP, SS, EY), pp. 468–475.
- SIGIR-2008-CarterettePKAA #evaluation #query
- Evaluation over thousands of queries (BC, VP, EK, JAA, JA), pp. 651–658.
- ECIR-2007-AslamP #estimation #multi #query #using
- Query Hardness Estimation Using Jensen-Shannon Divergence Among Multiple Scoring Functions (JAA, VP), pp. 198–209.
- SIGIR-2006-AslamPY #evaluation #statistics #using
- A statistical method for system evaluation using incomplete judgments (JAA, VP, EY), pp. 541–548.
- SIGIR-2005-AslamPY
- Measure-based metasearch (JAA, VP, EY), pp. 571–572.
- SIGIR-2005-AslamYP #metric #retrieval
- The maximum entropy method for analyzing retrieval measures (JAA, EY, VP), pp. 27–34.
- SIGIR-2005-AslamYP05a #correlation #geometry #precise
- A geometric interpretation of r-precision and its correlation with average precision (JAA, EY, VP), pp. 573–574.
- CIKM-2003-AslamPS #evaluation
- A unified model for metasearch, pooling, and system evaluation (JAA, VP, RS), pp. 484–491.
- SIGIR-2003-AslamPS #algorithm #evaluation #performance #retrieval
- A unified model for metasearch and the efficient evaluation of retrieval systems via the hedge algorithm (JAA, VP, RS), pp. 393–394.