Travelled to:1 × Canada
1 × China
1 × Finland
1 × The Netherlands
3 × USA
Collaborated with:J.Allan D.Hillard R.Iyer T.Anastasakos S.Kshetramade V.Castelli R.Florian D.Han X.Luo S.Roukos A.Agarwal K.Subbian P.Melville R.D.Lawrence D.Gondek J.Fan
Talks about:ad (3) filter (2) queri (2) use (2) probabilist (1) recommend (1) algorithm (1) question (1) interact (1) incorpor (1)
Person: Hema Raghavan
DBLP: Raghavan:Hema
Contributed to:
2012
201220102009200920072002Wrote 7 papers:
- CIKM-2012-AgarwalRSMLGF #learning #rank #robust
- Learning to rank for robust question answering (AA, HR, KS, PM, RDL, DG, JF), pp. 833–842.
- SIGIR-2012-CastelliRFHLR #corpus
- Distilling and exploring nuggets from a corpus (VC, HR, RF, DJH, XL, SR), p. 1006.
- CIKM-2010-RaghavanI #probability #retrieval #theory and practice
- Probabilistic first pass retrieval for search advertising: from theory to practice (HR, RI), pp. 1019–1028.
- CIKM-2009-AnastasakosHKR #approach #collaboration #graph #recommendation #using
- A collaborative filtering approach to ad recommendation using the query-ad click graph (TA, DH, SK, HR), pp. 1927–1930.
- SIGIR-2009-RaghavanH #modelling #quality
- A relevance model based filter for improving ad quality (HR, DH), pp. 762–763.
- SIGIR-2007-RaghavanA #algorithm #feedback #interactive
- An interactive algorithm for asking and incorporating feature feedback into support vector machines (HR, JA), pp. 79–86.
- SIGIR-2002-AllanR #ambiguity #query #using
- Using part-of-speech patterns to reduce query ambiguity (JA, HR), pp. 307–314.