Follow
Julia Kiseleva
Julia Kiseleva
Microsoft Research
Verified email at microsoft.com
Title
Cited by
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
1982016
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
1432016
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
582016
The continuous cold start problem in e-commerce recommender systems
L Bernardi, J Kamps, J Kiseleva, MJI Müller
arXiv preprint arXiv:1508.01177, 2015
582015
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
482019
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
462016
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
432020
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
372018
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
362021
Predicting Current User Intent with Contextual Markov Models
J Kiseleva, HT Lam, M Pechenizkiy, T Calders
312013
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
262016
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
252015
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
232020
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
How to not measure disentanglement
A Sepliarskaia, J Kiseleva, M de Rijke
arXiv preprint arXiv:1910.05587, 2019
19*2019
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
Search-oriented conversational AI (SCAI)
M Burtsev, A Chuklin, J Kiseleva, A Borisov
Proceedings of the ACM SIGIR International Conference on Theory of …, 2017
162017
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
152021
Context mining and integration into predictive web analytics
J Kiseleva
Proceedings of the 22nd International Conference on World Wide Web, 383-388, 2013
152013
The system can't perform the operation now. Try again later.
Articles 1–20