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Results
Found 40 publication records. Showing 40 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Yi Ren, Ying Du, Bin Wang, Shenzheng Zhang |
Deep Mutual Learning across Task Towers for Effective Multi-Task Recommender Learning. |
ORSUM@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | Amy B. Z. Zhang, Siyun Wang, Raphael Louca, Karl Ni, Diane Hu |
Quantifying Exploration Preference for E-Commerce Recommendation. |
ORSUM@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet (eds.) |
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. |
ORSUM@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | 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 |
DBLP BibTeX RDF |
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1 | Denis Krasilnikov, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov |
Next-basket Recommendation Constrained by Total Cost. |
ORSUM@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | Jacopo Tagliabue |
Wild Wild Tests. |
ORSUM@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | Sejoon Oh, Walid Shalaby, Amir Afsharinejad, Xiquan Cui |
Hierarchical Multi-Task Learning Framework for Session-based Recommendations. |
ORSUM@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | Dietmar Jannach |
Sequential and Session-based Recommendation: Past, Present, Future. |
ORSUM@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman, María Pérez-Ortiz 0001, Sahan Bulathwela |
TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback. |
ORSUM@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop 0006, Kevin Regan 0001, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan |
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. |
ORSUM@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Evripides Christodoulou, Andreas Gregoriades, Herodotos Herodotou, Maria Pampaka |
Extracting User Preferences and Personality from Text for Restaurant Recommendation. |
ORSUM@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Oleg Lashinin, Marina Ananyeva |
Next-basket Recommendation Constrained by Total Cost. |
ORSUM@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Jessica Maghakian, Kishan Panaganti, Paul Mineiro, Akanksha Saran, Cheng Tan |
Interaction-Grounded Learning for Recommender Systems. |
ORSUM@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | 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 |
DBLP BibTeX RDF |
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1 | Marina Ananyeva, Oleg Lashinin, Veronika Ivanova, Sergey Kolesnikov, Dmitry I. Ignatov |
Towards Interaction-based User Embeddings in Sequential Recommender Models. |
ORSUM@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Len Feremans, Robin Verachtert, Bart Goethals |
A Neighbourhood-based Location- and Time-aware Recommender System. |
ORSUM@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Eugene Yan |
Online Recommender Systems: Is the Juice Worth the Squeeze? |
ORSUM@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Liying Zheng, Yingji Pan, Yuri M. Brovman |
Page-Wise Personalized Recommendations in an Industrial e-Commerce Setting. |
ORSUM@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | 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 0009, Brent Payne, Patricia Grao |
An Application of Causal Bandit to Content Optimization. |
ORSUM@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska (eds.) |
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. |
ORSUM@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Zhuoran Liu 0004, 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 |
DBLP BibTeX RDF |
|
1 | Emilia Gómez |
Scientific Challenges, Practical Methodologies and Policy Perspectives for Trustworthy Artificial Intelligence. |
ORSUM@RecSys |
2022 |
DBLP BibTeX RDF |
|
1 | Jean-Philippe Corbeil, Florent Daudens |
Deploying a Cost-Effective and Production-Ready Deep News Recommender System in the Media Crisis Context. |
ORSUM@RecSys |
2020 |
DBLP BibTeX RDF |
|
1 | Lucas Bernardi, Pablo Estevez, Matias Eidis, Eqbal Osama |
Recommending Accommodation Filters with Online Learning. |
ORSUM@RecSys |
2020 |
DBLP BibTeX RDF |
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1 | Lele Cao, Sahar Asadi, Matteo Biasielli, Michael Sjöberg |
Debiasing Few-Shot Recommendation in Mobile Games. |
ORSUM@RecSys |
2020 |
DBLP BibTeX RDF |
|
1 | Sebastian Schelter |
Three Challenges in Building Industrial-Scale Recommender Systems. |
ORSUM@RecSys |
2020 |
DBLP BibTeX RDF |
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1 | Saurabh Gupta, Bharathan Balaji, Runfei Luo |
CPR: Collaborative Pairwise Ranking for Online List Recommendations. |
ORSUM@RecSys |
2020 |
DBLP BibTeX RDF |
|
1 | Vineeth Rakesh, Ajith Pudiyavitil, Jaideep Chandrashekar |
User Modeling and Churn Prediction in Over-the-top Media Services. |
ORSUM@RecSys |
2020 |
DBLP BibTeX RDF |
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1 | João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet (eds.) |
Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), Virtual Event, September 25, 2020. |
ORSUM@RecSys |
2020 |
DBLP BibTeX RDF |
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1 | 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 |
DBLP BibTeX RDF |
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1 | Qiang Cui, Tao Wei, Yafeng Zhang, Qing Zhang |
HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation. |
ORSUM@RecSys |
2020 |
DBLP BibTeX RDF |
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1 | Murilo Falleiros Lemos Schmitt, Eduardo Jaques Spinosa |
Incremental Graph of Sequential Interactions for Online Recommendation with Implicit Feedback. |
ORSUM@RecSys |
2020 |
DBLP BibTeX RDF |
|
1 | Paolo Cremonesi |
A pragmatic and industry-aware approach toward the design of on-line recommender systems. |
ORSUM@RecSys |
2019 |
DBLP BibTeX RDF |
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1 | Sonya Liberman, Shaked Bar, Raphael Vannerom, Danny Rosenstein, Ronny Lempel |
Search-Based Serving Architecture of Embeddings-Based Recommendations. |
ORSUM@RecSys |
2019 |
DBLP BibTeX RDF |
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1 | Miguel Sozinho Ramalho, João Vinagre, Alípio Mário Jorge, Rafaela Bastos |
Incremental Multi-Dimensional Recommender Systems: Co-Factorization vs Tensors. |
ORSUM@RecSys |
2019 |
DBLP BibTeX RDF |
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1 | Babak Loni, Anne Schuth, Lucas van de Haas, Jeroen Jansze, Vasco Visser, Marlies van der Wees |
Personalized Push Notifications for News Recommendation. |
ORSUM@RecSys |
2019 |
DBLP BibTeX RDF |
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1 | Chao Wei, Weiru Zhang, Shengjie Sun, Fei Li, Xiaonan Meng, Yi Hu, Kuang-chih Lee, Hao Wang 0005 |
Optimal Delivery with Budget Constraint in E-Commerce Advertising. |
ORSUM@RecSys |
2019 |
DBLP BibTeX RDF |
|
1 | Ladislav Peska, Stepán Balcar |
Fuzzy D'Hondt's Algorithm for On-line Recommendations Aggregation. |
ORSUM@RecSys |
2019 |
DBLP BibTeX RDF |
|
1 | João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein (eds.) |
2nd Workshop on Online Recommender Systems and User Modeling, ORSUM@RecSys 2019, 19 September 2019, Copenhagen, Denmark |
ORSUM@RecSys |
2019 |
DBLP BibTeX RDF |
|
1 | Musen Wen, Zhen Xia, Deepak Kumar Vasthimal |
Practical Lessons from Predicting New User Demographics for Ad Targeting. |
ORSUM@RecSys |
2019 |
DBLP BibTeX RDF |
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