Konstantina Christakopoulou

According to our database, Konstantina Christakopoulou authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Large Language Models for User Interest Journeys.

Konstantina Christakopoulou, Alberto Lalama, Cj Adams, Iris Qu, Yifat Amir, Samer Chucri, Pierce Vollucci, Fabio Soldo, Dina Bseiso, Sarah Scodel, Lucas Dixon, Ed H. Chi, Minmin Chen

CoRR, 2023

Towards Companion Recommenders Assisting Users' Long-Term Journeys.

Konstantina Christakopoulou, Minmin Chen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Reward Shaping for User Satisfaction in a REINFORCE Recommender.

Konstantina Christakopoulou, Can Xu, Sai Zhang, Sriraj Badam, Trevor Potter, Daniel Li, Hao Wan, Xinyang Yi, Ya Le, Chris Berg, Eric Bencomo Dixon, Ed H. Chi, Minmin Chen

CoRR, 2022

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective.

Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities.

Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Deconfounding User Satisfaction Estimation from Response Rate Bias.

Konstantina Christakopoulou, Madeleine Traverse, Trevor Potter, Emma Marriott, Daniel Li, Chris Haulk, Ed H. Chi, Minmin Chen

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Adversarial attacks on an oblivious recommender.

Konstantina Christakopoulou, Arindam Banerjee

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018

Adversarial Recommendation: Attack of the Learned Fake Users.

Konstantina Christakopoulou, Arindam Banerjee

CoRR, 2018

Learning to Interact with Users: A Collaborative-Bandit Approach.

Konstantina Christakopoulou, Arindam Banerjee

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Q&R: A Two-Stage Approach toward Interactive Recommendation.

Konstantina Christakopoulou, Alex Beutel, Rui Li, Sagar Jain, Ed H. Chi

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Glass-Box Program Synthesis: A Machine Learning Approach.

Konstantina Christakopoulou, Adam Tauman Kalai

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Recommendation under Capacity Constraints.

Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee

CoRR, 2017

Recommendation with Capacity Constraints.

Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Towards Conversational Recommender Systems.

Konstantina Christakopoulou, Filip Radlinski, Katja Hofmann

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Collaborative Ranking with a Push at the Top.

Konstantina Christakopoulou, Arindam Banerjee

Proceedings of the 24th International Conference on World Wide Web, 2015

Accelerated Alternating Direction Method of Multipliers.

Mojtaba Kadkhodaie, Konstantina Christakopoulou, Maziar Sanjabi, Arindam Banerjee

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015