Travelled to:1 × Australia
1 × Chile
1 × The Netherlands
1 × USA
2 × China
Collaborated with:M.d.Rijke K.Hofmann F.Sietsma S.Whiteson A.Chuklin F.Radlinski K.Balog L.Kelly A.Bellogín A.Nusselder H.Peetz M.Marx D.Lefortier K.Zhou P.Serdyukov R.Bruintjes F.Buüttner J.v.Doorn C.Groenland H.Oosterhuis C.Tran B.Veeling J.v.d.Velde R.Wechsler D.Woudenberg
Talks about:evalu (6) search (3) click (3) use (3) comparison (2) multileav (2) interleav (2) onlin (2) base (2) probabilist (1)
Person: Anne Schuth
DBLP: Schuth:Anne
Contributed to:
2015
2014
2014201420132009Wrote 9 papers:
- SIGIR-2015-SchuthBBDGOTVVW #evaluation #multi #online #probability #retrieval
- Probabilistic Multileave for Online Retrieval Evaluation (AS, RJB, FB, JvD, CG, HO, CNT, BV, JvdV, RW, DW, MdR), pp. 955–958.
- SIGIR-2015-SchuthHR #metric #predict
- Predicting Search Satisfaction Metrics with Interleaved Comparisons (AS, KH, FR), pp. 463–472.
- CIKM-2014-BalogKS #ad hoc #evaluation
- Head First: Living Labs for Ad-hoc Search Evaluation (KB, LK, AS), pp. 1815–1818.
- CIKM-2014-SchuthSWLR #evaluation #multi #online #performance
- Multileaved Comparisons for Fast Online Evaluation (AS, FS, SW, DL, MdR), pp. 71–80.
- ECIR-2014-HofmannSBR #bias #evaluation #recommendation
- Effects of Position Bias on Click-Based Recommender Evaluation (KH, AS, AB, MdR), pp. 624–630.
- ECIR-2014-SchuthSWR #case study #optimisation #using
- Optimizing Base Rankers Using Clicks — A Case Study Using BM25 (AS, FS, SW, MdR), pp. 75–87.
- SIGIR-2014-ChuklinZSSR #modelling
- Evaluating intuitiveness of vertical-aware click models (AC, KZ, AS, FS, MdR), pp. 1075–1078.
- CIKM-2013-ChuklinSHSR #using
- Evaluating aggregated search using interleaving (AC, AS, KH, PS, MdR), pp. 669–678.
- CIKM-2009-NusselderPSM #information management #people #web
- Helping people to choose for whom to vote. a web information system for the 2009 European elections (AN, HP, AS, MM), pp. 2095–2096.