Towards Conversational Recommender Systems K Christakopoulou, F Radlinski, K Hofmann Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge�…, 2016 | 492 | 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 | 145 | 2018 |
Adversarial attacks on an oblivious recommender K Christakopoulou, A Banerjee Proceedings of the 13th ACM Conference on Recommender Systems, 322-330, 2019 | 119 | 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 | 36 | 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 | 27 | 2020 |
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 |
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 | 26 | 2020 |
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 | 24* | 2021 |
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 | 22 | 2023 |
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 | 7 | 2018 |
Glass-Box Program Synthesis: A Machine Learning Approach K Christakopoulou, AT Kalai The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 5 | 2018 |
Towards Recommendation Systems with Real-World Constraints K Christakopoulou University of Minnesota, 2018 | 4 | 2018 |
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 | 3 | 2022 |
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 |
Agents Thinking Fast and Slow: A Talker-Reasoner Architecture K Christakopoulou, S Mourad, M Matarić arXiv preprint arXiv:2410.08328, 2024 | 1 | 2024 |
Recommendation under constraints K Christakopoulou | 1 | |