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Julia Kiseleva
Julia Kiseleva
Microsoft Research
Verified email at microsoft.com
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Cited by
Year
Understanding user satisfaction with intelligent assistants
J Kiseleva, K Williams, J Jiang, A Hassan Awadallah, AC Crook, I Zitouni, ...
Proceedings of the 2016 ACM on conference on human information interaction …, 2016
2202016
Predicting user satisfaction with intelligent assistants
J Kiseleva, K Williams, A Hassan Awadallah, AC Crook, I Zitouni, ...
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
1642016
Building and evaluating open-domain dialogue corpora with clarifying questions
M Aliannejadi, J Kiseleva, A Chuklin, J Dalton, M Burtsev
arXiv preprint arXiv:2109.05794, 2021
722021
The continuous cold start problem in e-commerce recommender systems
L Bernardi, J Kamps, J Kiseleva, MJI Müller
arXiv preprint arXiv:1508.01177, 2015
662015
ConvAI3: Generating clarifying questions for open-domain dialogue systems (ClariQ)
M Aliannejadi, J Kiseleva, A Chuklin, J Dalton, M Burtsev
arXiv preprint arXiv:2009.11352, 2020
632020
Detecting good abandonment in mobile search
K Williams, J Kiseleva, AC Crook, I Zitouni, AH Awadallah, M Khabsa
Proceedings of the 25th International Conference on World Wide Web, 495-505, 2016
612016
Dialogue generation: From imitation learning to inverse reinforcement learning
Z Li, J Kiseleva, M De Rijke
Proceedings of the AAAI conference on artificial intelligence 33 (01), 6722-6729, 2019
552019
Preference elicitation as an optimization problem
A Sepliarskaia, J Kiseleva, F Radlinski, M de Rijke
Proceedings of the 12th ACM Conference on Recommender Systems, 172-180, 2018
482018
Overview of the TREC 2016 contextual suggestion track
SH Hashemi, CLA Clarke, J Kamps, J Kiseleva, EM Voorhees
Proceeding of Text REtrieval Conference (TREC), 2016
472016
Guided Dialog Policy Learning without Adversarial Learning in the Loop
Z Li, S Lee, B Peng, J Li, J Kiseleva, M de Rijke, S Shayandeh, J Gao
Findings of EMNLP 2020, 2020
332020
Interactive grounded language understanding in a collaborative environment: Iglu 2021
J Kiseleva, Z Li, M Aliannejadi, S Mohanty, M ter Hoeve, M Burtsev, ...
NeurIPS 2021 Competitions and Demonstrations Track, 146-161, 2022
31*2022
Predicting Current User Intent with Contextual Markov Models
J Kiseleva, HT Lam, M Pechenizkiy, T Calders
312013
How to not measure disentanglement
A Sepliarskaia, J Kiseleva, M de Rijke
arXiv preprint arXiv:1910.05587, 2019
30*2019
Learning to decompose and organize complex tasks
Y Zhang, SK Jauhar, J Kiseleva, R White, D Roth
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
282021
Is this your final answer? evaluating the effect of answers on good abandonment in mobile search
K Williams, J Kiseleva, AC Crook, I Zitouni, AH Awadallah, M Khabsa
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
282016
Where to go on your next trip? Optimizing travel destinations based on user preferences
J Kiseleva, MJI Mueller, L Bernardi, C Davis, I Kovacek, ...
Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015
262015
Evaluating personal assistants on mobile devices
J Kiseleva, M de Rijke
arXiv preprint arXiv:1706.04524, 2017
212017
Discovering temporal hidden contexts in web sessions for user trail prediction
J Kiseleva, H Thanh Lam, M Pechenizkiy, T Calders
Proceedings of the 22nd International Conference on World Wide Web, 1067-1074, 2013
202013
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems
Z Li, J Kiseleva, M de Rijke
Findings of EMNLP 2020, 2020
182020
Modelling and Detecting Changes in User Satisfaction
J Kiseleva, E Crestan, R Brigo, R Dittel
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
182014
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Articles 1–20