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Anne Schuth
Anne Schuth
AI at the Dutch Government | Formerly Spotify, DPG Media, Google, Blendle.
在 rijksoverheid.nl 的电子邮件经过验证 - 首页
标题
引用次数
年份
When the Music Stops: Tip-of-the-Tongue Retrieval for Music
S Bhargav, A Schuth, C Hauff
arXiv preprint arXiv:2305.14072, 2023
2023
Understanding multi-head attention in abstractive summarization
J Baan, M ter Hoeve, M van der Wees, A Schuth, M de Rijke
arXiv preprint arXiv:1911.03898, 2019
182019
Personalized push notifications for news recommendation
B Loni, A Schuth, L van de Haas, J Jansze, V Visser, M Van der Wees
2nd Workshop on Online Recommender Systems and User Modeling, 36-45, 2019
72019
Dpgmedia2019: A dutch news dataset for partisanship detection
CL Yeh, B Loni, M Hendriks, H Reinhardt, A Schuth
arXiv preprint arXiv:1908.02322, 2019
12019
Do transformer attention heads provide transparency in abstractive summarization?
J Baan, M ter Hoeve, M van der Wees, A Schuth, M de Rijke
arXiv preprint arXiv:1907.00570, 2019
202019
Hyperpartisan News Detection with GloVe vectors and SVM
CL Yeh, B Loni, A Schuth
Proceedings of the 13th International Workshop on Semantic Evaluation, 1067-1071, 2019
52019
Continuous evaluation of large-scale information access systems: A case for living labs
F Hopfgartner, K Balog, A Lommatzsch, L Kelly, B Kille, A Schuth, ...
Information Retrieval Evaluation in a Changing World: Lessons Learned from …, 2019
132019
Faithfully Explaining Rankings in a News Recommender System
M ter Hoeve, A Schuth, D Odijk, M de Rijke
arXiv preprint arXiv:1805.05447, 2018
252018
Online learning to rank for recommender systems
D Odijk, A Schuth
Proceedings of the Eleventh ACM Conference on Recommender Systems, 348-348, 2017
82017
Do news consumers want explanations for personalized news rankings
M Ter Hoeve, M Heruer, D Odijk, A Schuth, M de Rijke
FATREC Workshop on Responsible Recommendation Proceedings, 2017
422017
Effective Headlines of Newspaper Articles in a Digital Environment
J Kuiken, A Schuth, M Spitters, M Marx
Digital Journalism, 0-15, 2017
2782017
Effective headlines of newspaper articles in a digital environment. Digital Journalism, 5 (10), 1300-1314
J Kuiken, A Schuth, M Spitters, M Marx
DOI 10 (21670811.2017), 1279978, 2017
212017
Probabilistic Multileave Gradient Descent
H Oosterhuis, A Schuth, M de Rijke
ECIR'16, 2016
322016
Multileave Gradient Descent for Fast Online Learning to Rank
A Schuth, H Oosterhuis, S Whiteson, M de Rijke
WSDM 2016, 2016
1012016
Multileave gradient descent for fast online learning to rank
S Whiteson, A Schuth, H Oosterhuis, M de Rijke
Association for Computing Machinery, 2016
2016
Overview of the trec 2016 open search track
K Balog, A Schuth, P Dekker, P Schaer, N Tavakolpoursaleh, PY Chuang
Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2016). NIST, 2016
192016
Search Engines that Learn from Their Users
A Schuth
University of Amsterdam, 2016
112016
Living Labs for Online Evaluation: From Theory to Practice
A Schuth, K Balog
12016
Open Search
A Schuth
Determining the Presence of Political Parties in Social Circles.......... 3 …, 2015
2015
Self-learning search engines
A Schuth
Amsterdam Science 2, 2015
2015
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