| 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 | 228 | 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 | 173 | 2016 |
| 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 | 80 | 2021 |
| The continuous cold start problem in e-commerce recommender systems L Bernardi, J Kamps, J Kiseleva, MJI Müller arXiv preprint arXiv:1508.01177, 2015 | 71 | 2015 |
| 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 | 66 | 2020 |
| 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 | 60 | 2016 |
| 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 | 56 | 2019 |
| 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 | 52 | 2018 |
| 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 | 47 | 2016 |
| How to not measure disentanglement A Sepliarskaia, J Kiseleva, M de Rijke arXiv preprint arXiv:1910.05587, 2019 | 36* | 2019 |
| 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 | 34 | 2020 |
| 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 |
| 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 | 31 | 2021 |
| Predicting Current User Intent with Contextual Markov Models J Kiseleva, HT Lam, M Pechenizkiy, T Calders | 31 | 2013 |
| 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 | 28 | 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 | 28 | 2015 |
| Evaluating personal assistants on mobile devices J Kiseleva, M de Rijke arXiv preprint arXiv:1706.04524, 2017 | 21 | 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 |
| Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems Z Li, J Kiseleva, M de Rijke Findings of EMNLP 2020, 2020 | 19 | 2020 |
| 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 | 19 | 2014 |
Maarten de RijkeUniversity of Amsterdam & ICAIVerified email at uva.nl
