• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 40 matches

• 2023
• 
  Dietmar Jannach:
  Sequential and Session-based Recommendation: Past, Present, Future. ORSUM@RecSys 2023
• 
  Denis Krasilnikov, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov:
  Next-basket Recommendation Constrained by Total Cost. ORSUM@RecSys 2023
• 
  Sejoon Oh, Walid Shalaby, Amir Afsharinejad, Xiquan Cui:
  Hierarchical Multi-Task Learning Framework for Session-based Recommendations. ORSUM@RecSys 2023
• 
  Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman, María Pérez-Ortiz, Sahan Bulathwela:
  TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback. ORSUM@RecSys 2023
• 
  Yi Ren, Ying Du, Bin Wang, Shenzheng Zhang:
  Deep Mutual Learning across Task Towers for Effective Multi-Task Recommender Learning. ORSUM@RecSys 2023
• 
  Blaz Skrlj, Nir Ki-Tov, Lee Edelist, Natalia Silberstein, Hila Weisman-Zohar, Blaz Mramor, Davorin Kopic, Naama Ziporin:
  Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems. ORSUM@RecSys 2023
• 
  Jacopo Tagliabue:
  Wild Wild Tests. ORSUM@RecSys 2023
• 
  Amy B. Z. Zhang, Siyun Wang, Raphael Louca, Karl Ni, Diane Hu:
  Quantifying Exploration Preference for E-Commerce Recommendation. ORSUM@RecSys 2023
• 
  João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet:
  Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. CEUR Workshop Proceedings 3549, CEUR-WS.org 2023 [contents]
• 2022
• 
  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. ORSUM@RecSys 2022
• 
  Marina Ananyeva, Oleg Lashinin, Veronika Ivanova, Sergey Kolesnikov, Dmitry I. Ignatov:
  Towards Interaction-based User Embeddings in Sequential Recommender Models. ORSUM@RecSys 2022
• 
  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. ORSUM@RecSys 2022
• 
  Evripides Christodoulou, Andreas Gregoriades, Herodotos Herodotou, Maria Pampaka:
  Extracting User Preferences and Personality from Text for Restaurant Recommendation. ORSUM@RecSys 2022
• 
  Len Feremans, Robin Verachtert, Bart Goethals:
  A Neighbourhood-based Location- and Time-aware Recommender System. ORSUM@RecSys 2022
• 
  Emilia Gómez:
  Scientific Challenges, Practical Methodologies and Policy Perspectives for Trustworthy Artificial Intelligence. ORSUM@RecSys 2022
• 
  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. ORSUM@RecSys 2022
• 
  Oleg Lashinin, Marina Ananyeva:
  Next-basket Recommendation Constrained by Total Cost. ORSUM@RecSys 2022
• 
  Jessica Maghakian, Kishan Panaganti, Paul Mineiro, Akanksha Saran, Cheng Tan:
  Interaction-Grounded Learning for Recommender Systems. ORSUM@RecSys 2022
• 
  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. ORSUM@RecSys 2022
• 
  Eugene Yan:
  Online Recommender Systems: Is the Juice Worth the Squeeze? ORSUM@RecSys 2022
• 
  Liying Zheng, Yingji Pan, Yuri M. Brovman:
  Page-Wise Personalized Recommendations in an Industrial e-Commerce Setting. ORSUM@RecSys 2022
• 
  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 [contents]
• 2020
• 
  Lucas Bernardi, Pablo Estevez, Matias Eidis, Eqbal Osama:
  Recommending Accommodation Filters with Online Learning. ORSUM@RecSys 2020
• 
  Lele Cao, Sahar Asadi, Matteo Biasielli, Michael Sjöberg:
  Debiasing Few-Shot Recommendation in Mobile Games. ORSUM@RecSys 2020
• 
  Jean-Philippe Corbeil, Florent Daudens:
  Deploying a Cost-Effective and Production-Ready Deep News Recommender System in the Media Crisis Context. ORSUM@RecSys 2020
• 
  Qiang Cui, Tao Wei, Yafeng Zhang, Qing Zhang:
  HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation. ORSUM@RecSys 2020
• 
  Josef Florian, Jakub Drdák, Radek Tomsu, Karel Koupil, Václav Blahut, Jaroslav Kuchar, Michal Rehor:
  Combining Models for Better User Satisfaction in Video Recommendation. ORSUM@RecSys 2020
• 
  Saurabh Gupta, Bharathan Balaji, Runfei Luo:
  CPR: Collaborative Pairwise Ranking for Online List Recommendations. ORSUM@RecSys 2020
• 
  Vineeth Rakesh, Ajith Pudiyavitil, Jaideep Chandrashekar:
  User Modeling and Churn Prediction in Over-the-top Media Services. ORSUM@RecSys 2020
• 
  Sebastian Schelter:
  Three Challenges in Building Industrial-Scale Recommender Systems. ORSUM@RecSys 2020

skipping 10 more matches