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ORCIDORSUM@RecSys 2022: Seattle, WA, USA
- João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska:
Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, ORSUM@RecSys 2022, Seattle, WA, USA, September 23rd, 2022. CEUR Workshop Proceedings 3303, CEUR-WS.org 2022
Keynotes
- Emilia Gómez:
Scientific Challenges, Practical Methodologies and Policy Perspectives for Trustworthy Artificial Intelligence. - Eugene Yan:
Online Recommender Systems: Is the Juice Worth the Squeeze?
Contributed papers
- Liying Zheng, Yingji Pan, Yuri M. Brovman:
Page-Wise Personalized Recommendations in an Industrial e-Commerce Setting. - Sameer Kanase, Yan Zhao, Shenghe Xu, Mitchell Goodman, Manohar Mandalapu, Benjamyn Ward, Chan Jeon, Shreya Kamath, Ben Cohen, Yujia Liu, Hengjia Zhang, Yannick Kimmel, Saad Khan, Brent Payne, Patricia Grao:
An Application of Causal Bandit to Content Optimization. - Chahak Sethi, Melvin Vellera, Diane Myung-kyung Woodbridge, Joey Jonghoon Ahnn:
Bundle Recommender from Recipes to Shopping Carts - Optimizing Ingredients, Kitchen Gadgets and their Quantities. - Jessica Maghakian, Kishan Panaganti, Paul Mineiro, Akanksha Saran, Cheng Tan:
Interaction-Grounded Learning for Recommender Systems. - Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop, Kevin Regan, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan:
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. - Len Feremans, Robin Verachtert, Bart Goethals:
A Neighbourhood-based Location- and Time-aware Recommender System. - Zhuoran Liu, Leqi Zou, Xuan Zou, Caihua Wang, Biao Zhang, Da Tang, Bolin Zhu, Yijie Zhu, Peng Wu, Ke Wang, Youlong Cheng:
Monolith: Real Time Recommendation System with Collisionless Embedding Table. - Evripides Christodoulou, Andreas Gregoriades, Herodotos Herodotou, Maria Pampaka:
Extracting User Preferences and Personality from Text for Restaurant Recommendation. - Marina Ananyeva, Oleg Lashinin, Veronika Ivanova, Sergey Kolesnikov, Dmitry I. Ignatov:
Towards Interaction-based User Embeddings in Sequential Recommender Models.
Short Paper (Brainstorming Session)
- Oleg Lashinin, Marina Ananyeva:
Next-basket Recommendation Constrained by Total Cost.
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