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Journal Articles
- 2023
[j3]Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi:
Report on the Workshop on Learning and Evaluating Recommendations with Impressions (LERI) at RecSys 2023. SIGIR Forum 57(2): 19:1-19:8 (2023)- 2021
- [j2]Harald Steck, Linas Baltrunas, Ehtsham Elahi, Dawen Liang, Yves Raimond, Justin Basilico:
Deep Learning for Recommender Systems: A Netflix Case Study. AI Mag. 42(3): 7-18 (2021) - 2014
- [j1]Aaron K. Baughman, Wesley Chuang, Kevin R. Dixon, Zachary Benz, Justin Basilico:
DeepQA Jeopardy! Gamification: A Machine-Learning Perspective. IEEE Trans. Comput. Intell. AI Games 6(1): 55-66 (2014)
Conference and Workshop Papers
- 2023
- [c17]Gary Tang
, Jiangwei Pan, Henry Wang, Justin Basilico:
Reward innovation for long-term member satisfaction. RecSys 2023: 396-399 - [c16]Ding Tong, Qifeng Qiao, Ting-Po Lee, James McInerney, Justin Basilico:
Navigating the Feedback Loop in Recommender Systems: Insights and Strategies from Industry Practice. RecSys 2023: 1058-1061 - [c15]Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi:
Workshop on Learning and Evaluating Recommendations with Impressions (LERI). RecSys 2023: 1248-1251 - 2021
- [c14]Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu:
2nd International Workshop on Industrial Recommendation Systems (IRS). KDD 2021: 4173-4174 - [c13]James McInerney, Ehtsham Elahi, Justin Basilico, Yves Raimond, Tony Jebara:
Accordion: A Trainable Simulator forLong-Term Interactive Systems. RecSys 2021: 102-113 - [c12]Mohammad Saberian, Justin Basilico:
RecSysOps: Best Practices for Operating a Large-Scale Recommender System. RecSys 2021: 590-591 - 2018
- [c11]Fernando Amat Gil, Ashok Chandrashekar, Tony Jebara, Justin Basilico:
Artwork personalization at netflix. RecSys 2018: 487-488 - 2017
- [c10]Justin Basilico, Yves Raimond:
Déjà Vu: The Importance of Time and Causality in Recommender Systems. RecSys 2017: 342 - 2016
- [c9]Xavier Amatriain, Justin Basilico:
Past, Present, and Future of Recommender Systems: An Industry Perspective. RecSys 2016: 211-214 - [c8]Chao-Yuan Wu, Christopher V. Alvino, Alexander J. Smola, Justin Basilico:
Using Navigation to Improve Recommendations in Real-Time. RecSys 2016: 341-348 - [c7]Justin Basilico, Yves Raimond:
Recommending for the World. RecSys 2016: 375 - 2011
- [c6]Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer:
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data. ICDM 2011: 41-50 - 2009
- [c5]Kevin R. Dixon, Justin D. Basilico, J. Chris Forsythe, Wilhelm E. Kincses:
Using Context to Identify Difficult Driving Situations in Unstructured Environments. HCI (16) 2009: 20-29 - [c4]Kevin R. Dixon, Konrad Hagemann, Justin Basilico, J. Chris Forsythe, Siegfried Rothe, Michael Schrauf, Wilhelm E. Kincses:
Improved Team Performance Using EEG- and Context-Based Cognitive-State Classifications for a Vehicle Crew. HCI (16) 2009: 365-372 - 2005
- [c3]Thomas Hofmann, Justin Basilico:
Collaborative Machine Learning. From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments 2005: 173-182 - 2004
- [c2]Justin Basilico, Thomas Hofmann:
Unifying collaborative and content-based filtering. ICML 2004 - [c1]Justin Basilico, Thomas Hofmann:
A joint framework for collaborative and content filtering. SIGIR 2004: 550-551
Editorship
- 2023
- [e3]Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi:
Proceedings of the Workshop on Learning and Evaluating Recommendations with Impressions co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. CEUR Workshop Proceedings 3590, CEUR-WS.org 2023 [contents] - [e2]Jie Zhang, Li Chen, Shlomo Berkovsky, Min Zhang, Tommaso Di Noia, Justin Basilico, Luiz Pizzato, Yang Song:
Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023. ACM 2023 [contents] - 2022
- [e1]Jennifer Golbeck, F. Maxwell Harper, Vanessa Murdock, Michael D. Ekstrand, Bracha Shapira, Justin Basilico, Keld T. Lundgaard, Even Oldridge:
RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022. ACM 2022, ISBN 978-1-4503-9278-5 [contents]
Reference Works
- 2015
- [r1]Xavier Amatriain, Justin Basilico:
Recommender Systems in Industry: A Netflix Case Study. Recommender Systems Handbook 2015: 385-419
Informal and Other Publications
- 2011
- [i1]Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer:
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data. CoRR abs/1103.2068 (2011)
Coauthor Index
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