Travelled to:1 × Canada
1 × China
1 × Germany
1 × Ireland
1 × Israel
1 × Portugal
1 × Spain
1 × Switzerland
3 × USA
Collaborated with:M.Amini P.Gallinari D.Buffoni B.Pradel A.Bordes J.Weston C.Goutte C.Calauzènes J.Pessiot T.Truong A.Tombros M.Lalmas S.Sean J.Delporte S.Guérif C.Rouveirol F.Fogelman-Soulié F.Dufau-Joël
Talks about:rank (6) learn (5) document (3) summar (3) base (3) transduct (2) algorithm (2) supervis (2) automat (2) order (2)
Person: Nicolas Usunier
DBLP: Usunier:Nicolas
Contributed to:
2012
2011
2011
20112010201020092009
2007
2005
2005Wrote 11 papers:
- RecSys-2012-PradelUG #evaluation #metric #ranking
- Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics (BP, NU, PG), pp. 147–154.
- ICML-2011-BuffoniCGU #learning #standard
- Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision (DB, CC, PG, NU), pp. 825–832.
- KDD-2011-PradelSDGRUFD #case study #recommendation
- A case study in a recommender system based on purchase data (BP, SS, JD, SG, CR, NU, FFS, FDJ), pp. 377–385.
- SIGIR-2011-AminiU #automation #detection #learning #multi #summary
- Transductive learning over automatically detected themes for multi-document summarization (MRA, NU), pp. 1193–1194.
- ICML-2010-BordesUW #ambiguity #learning #ranking #semantics
- Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences (AB, NU, JW), pp. 103–110.
- SIGIR-2010-AminiGU #categorisation #multi #self
- Combining coregularization and consensus-based self-training for multilingual text categorization (MRA, CG, NU), pp. 475–482.
- ICML-2009-UsunierBG #classification #order #ranking
- Ranking with ordered weighted pairwise classification (NU, DB, PG), pp. 1057–1064.
- SIGIR-2009-AminiU #algorithm #information management #multi #ranking #summary
- Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization (MRA, NU), pp. 704–705.
- ICEIS-AIDSS-2007-PessiotTUAG #collaboration #learning #rank
- Learning to Rank for Collaborative Filtering (JFP, TVT, NU, MRA, PG), pp. 145–151.
- CIKM-2005-AminiTULG #documentation #learning #using #xml
- Learning to summarise XML documents using content and structure (MRA, AT, NU, ML, PG), pp. 297–298.
- ECIR-2005-AminiUG #algorithm #automation #clustering #ranking #summary
- Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms (MRA, NU, PG), pp. 142–156.