ORSUM 2022
5th Workshop on Online Recommender Systems and User Modeling 2022

Table of Contents

Keynotes

• Scientific Challenges, Practical Methodologies and Policy Perspectives for Trustworthy Artificial Intelligence
  Emilia Gómez
• Online Recommender Systems: Is the Juice Worth the Squeeze?
  Eugene Yan

Contributed papers

• Page-Wise Personalized Recommendations in an Industrial e-Commerce Setting
  Liying Zheng , Yingji Pan , Yuri M. Brovman
• An Application of Causal Bandit to Content Optimization
  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
• Bundle Recommender from Recipes to Shopping Carts - Optimizing Ingredients, Kitchen Gadgets and their Quantities
  Chahak Sethi , Melvin Vellera , Diane Myung-kyung Woodbridge , Joey Jonghoon Ahnn
• Interaction-Grounded Learning for Recommender Systems
  Jessica Maghakian , Kishan Panaganti , Paul Mineiro , Akanksha Saran , Cheng Tan
• On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models
  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
• A Neighbourhood-based Location- and Time-aware Recommender System
  Len Feremans , Robin Verachtert , Bart Goethals
• Monolith: Real Time Recommendation System with Collisionless Embedding Table
  Zhuoran Liu , Leqi Zou , Xuan Zou , Caihua Wang , Biao Zhang , Da Tang , Bolin Zhu , Yijie Zhu , Peng Wu , Ke Wang , Youlong Cheng
• Extracting User Preferences and Personality from Text for Restaurant Recommendation
  Evripides Christodoulou , Andreas Gregoriades , Herodotos Herodotou , Maria Pampaka
• Towards Interaction-based User Embeddings in Sequential Recommender Models
  Marina Ananyeva , Oleg Lashinin , Veronika Ivanova , Sergey Kolesnikov , Dmitry I. Ignatov

Short Paper (Brainstorming Session)

• Next-basket Recommendation Constrained by Total Cost
  Oleg Lashinin , Marina Ananyeva