Travelled to:1 × Australia
1 × Chile
1 × Ireland
1 × Russia
1 × Spain
1 × Switzerland
1 × United Kingdom
2 × The Netherlands
2 × USA
3 × China
Collaborated with:M.d.Rijke F.Radlinski S.Whiteson ∅ A.Schuth S.Devlin B.Mitra M.Shokouhi P.Lubell-Doughtie E.F.T.K.Sang F.Behr Dino Stephen Ratcliffe A.Bellogín B.Huurnink M.Bron M.Tsagkias E.Meij A.Chuklin P.Serdyukov Luke Harries Sebastian Lee Jaroslaw Rzepecki
Talks about:learn (5) interleav (4) evalu (4) click (4) search (3) onlin (3) comparison (2) interact (2) retriev (2) complet (2)
Person: Katja Hofmann
DBLP: Hofmann:Katja
Facilitated 1 volumes:
EdContributed to:
2015
2014201420142013201320122012201120112011201020092007
2019
2019Wrote 18 papers:
- SIGIR-2015-SchuthHR #metric #predict
- Predicting Search Satisfaction Metrics with Interleaved Comparisons (AS, KH, FR), pp. 463–472.
- CIKM-2014-HofmannMRS #interactive #query
- An Eye-tracking Study of User Interactions with Query Auto Completion (KH, BM, FR, MS), pp. 549–558.
- ECIR-2014-HofmannSBR #bias #evaluation #recommendation
- Effects of Position Bias on Click-Based Recommender Evaluation (KH, AS, AB, MdR), pp. 624–630.
- SIGIR-2014-MitraSRH #interactive #on the #query
- On user interactions with query auto-completion (BM, MS, FR, KH), pp. 1055–1058.
- CIKM-2013-ChuklinSHSR #using
- Evaluating aggregated search using interleaving (AC, AS, KH, PS, MdR), pp. 669–678.
- ECIR-2013-RadlinskiH #evaluation #online #retrieval
- Practical Online Retrieval Evaluation (FR, KH), pp. 878–881.
- CIKM-2012-HofmannBR #bias #on the
- On caption bias in interleaving experiments (KH, FB, FR), pp. 115–124.
- CIKM-2012-HofmannWR #comparison
- Estimating interleaved comparison outcomes from historical click data (KH, SW, MdR), pp. 1779–1783.
- ECIR-2012-Lubell-DoughtieH #feedback #learning #rank
- Learning to Rank from Relevance Feedback for e-Discovery (PLD, KH), pp. 535–539.
- CIKM-2011-HofmannWR #probability
- A probabilistic method for inferring preferences from clicks (KH, SW, MdR), pp. 249–258.
- ECIR-2011-HofmannWR #learning #online #rank
- Balancing Exploration and Exploitation in Learning to Rank Online (KH, SW, MdR), pp. 251–263.
- SIGIR-2011-Hofmann #online
- Search engines that learn online (KH), pp. 1313–1314.
- SIGIR-2010-HofmannHBR #evaluation #retrieval
- Comparing click-through data to purchase decisions for retrieval evaluation (KH, BH, MB, MdR), pp. 761–762.
- CIKM-2009-HofmannTMR #documentation
- The impact of document structure on keyphrase extraction (KH, MT, EM, MdR), pp. 1725–1728.
- SIGIR-2007-HofmannS #automation
- Automatic extension of non-english wordnets (KH, EFTKS), pp. 833–834.
- CHI-PLAY-2019-Hofmann
- Minecraft as AI Playground and Laboratory (KH), p. 1.
- CoG-2019-HarriesLRHD #3d #benchmark #learning #metric #named
- MazeExplorer: A Customisable 3D Benchmark for Assessing Generalisation in Reinforcement Learning (LH, SL, JR, KH, SD), pp. 1–4.
- CoG-2019-RatcliffeHD #optimisation #performance #policy
- Win or Learn Fast Proximal Policy Optimisation (DSR, KH, SD), pp. 1–4.