| 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 | 190 | 2016 |
| 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 | 138 | 2016 |
| 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 | 58 | 2016 |
| The continuous cold start problem in e-commerce recommender systems L Bernardi, J Kamps, J Kiseleva, MJI Müller arXiv preprint arXiv:1508.01177, 2015 | 56 | 2015 |
| 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 | 47 | 2019 |
| 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 | 46 | 2016 |
| 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 | 36 | 2020 |
| 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 | 36 | 2018 |
| Predicting Current User Intent with Contextual Markov Models J Kiseleva, HT Lam, M Pechenizkiy, T Calders | 30 | 2013 |
| 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 | 27 | 2021 |
| 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 | 26 | 2016 |
| 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 | 25 | 2015 |
| 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 | 22 | 2020 |
| Evaluating personal assistants on mobile devices J Kiseleva, M de Rijke arXiv preprint arXiv:1706.04524, 2017 | 20 | 2017 |
| 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 | 20 | 2013 |
| 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 | 18 | 2014 |
| Search-oriented conversational AI (SCAI) M Burtsev, A Chuklin, J Kiseleva, A Borisov Proceedings of the ACM SIGIR International Conference on Theory of …, 2017 | 15 | 2017 |
| Context mining and integration into predictive web analytics J Kiseleva Proceedings of the 22nd International Conference on World Wide Web, 383-388, 2013 | 15 | 2013 |
| Behavioral dynamics from the SERP's perspective: what are failed SERPs and how to fix them? J Kiseleva, J Kamps, V Nikulin, N Makarov Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 14 | 2015 |
Maarten de RijkeUniversity of Amsterdam & ICAIVerified email at uva.nl
