| Towards Conversational Recommender Systems K Christakopoulou, F Radlinski, K Hofmann Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 516 | 2016 |
| Q&R: A two-stage approach toward interactive recommendation K Christakopoulou, A Beutel, R Li, S Jain, EH Chi Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 149 | 2018 |
| Adversarial attacks on an oblivious recommender K Christakopoulou, A Banerjee Proceedings of the 13th ACM Conference on Recommender Systems, 322-330, 2019 | 124 | 2019 |
| Accelerated alternating direction method of multipliers M Kadkhodaie, K Christakopoulou, M Sanjabi, A Banerjee Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 72 | 2015 |
| Collaborative Ranking with a Push at the Top K Christakopoulou, A Banerjee Proceedings of the 24th International Conference on World Wide Web, 205-215, 2015 | 68 | 2015 |
| Rethinking reinforcement learning for recommendation: A prompt perspective X Xin, T Pimentel, A Karatzoglou, P Ren, K Christakopoulou, Z Ren Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 42 | 2022 |
| Deconfounding user satisfaction estimation from response rate bias K Christakopoulou, M Traverse, T Potter, E Marriott, D Li, C Haulk, EH Chi, ... Proceedings of the 14th ACM Conference on Recommender Systems, 450-455, 2020 | 29 | 2020 |
| Building healthy recommendation sequences for everyone: A safe reinforcement learning approach A Singh, Y Halpern, N Thain, K Christakopoulou, E Chi, J Chen, A Beutel FAccTRec Workshop, 2020 | 28 | 2020 |
| Large language models for user interest journeys K Christakopoulou, A Lalama, C Adams, I Qu, Y Amir, S Chucri, P Vollucci, ... arXiv preprint arXiv:2305.15498, 2023 | 27 | 2023 |
| Learning to interact with users: A collaborative-bandit approach K Christakopoulou, A Banerjee Proceedings of the 2018 SIAM International Conference on Data Mining, 612-620, 2018 | 27 | 2018 |
| Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities R Zhan, K Christakopoulou, Y Le, J Ooi, M Mladenov, A Beutel, C Boutilier, ... Proceedings of the Web Conference, 3872-3883, 2021 | 26* | 2021 |
| Recommendation with capacity constraints K Christakopoulou, J Kawale, A Banerjee Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 18 | 2017 |
| Adversarial recommendation: Attack of the learned fake users K Christakopoulou, A Banerjee arXiv preprint arXiv:1809.08336, 2018 | 8 | 2018 |
| Glass-Box Program Synthesis: A Machine Learning Approach K Christakopoulou, AT Kalai The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 6 | 2018 |
| Agents thinking fast and slow: A talker-reasoner architecture K Christakopoulou, S Mourad, M Matarić arXiv preprint arXiv:2410.08328, 2024 | 5 | 2024 |
| Reward Shaping for User Satisfaction in a REINFORCE Recommender K Christakopoulou, C Xu, S Zhang, S Badam, T Potter, D Li, H Wan, X Yi, ... arXiv preprint arXiv:2209.15166, 2022 | 4 | 2022 |
| Towards Recommendation Systems with Real-World Constraints K Christakopoulou University of Minnesota, 2018 | 4 | 2018 |
| Towards content provider aware recommender systems R Zhan, K Christakopoulou, Y Le, J Ooi, M Mladenov, A Beutel, C Boutilier, ... Proceedings of the Web Conference, 2021 | 2 | 2021 |
| Recommendation under Capacity Constraints K Christakopoulou, J Kawale, A Banerjee arXiv preprint arXiv:1701.05228, 2017 | 2 | 2017 |
| Recommendation under constraints K Christakopoulou | 1 | |
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignEmail yang diverifikasi di illinois.edu
