Justin Basilico

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 13

Top Topics

Matrix Factorization

Recommender Systems

Top Venues

IEEE Trans. Comput. Intell. AI Games

Publications

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) (2023)
Gary Tang, Jiangwei Pan, Henry Wang, Justin Basilico
Reward innovation for long-term member satisfaction. RecSys (2023)
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)
Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi
Workshop on Learning and Evaluating Recommendations with Impressions (LERI). RecSys (2023)
James McInerney, Ehtsham Elahi, Justin Basilico, Yves Raimond, Tony Jebara
Accordion: A Trainable Simulator forLong-Term Interactive Systems. RecSys (2021)
Mohammad Saberian, Justin Basilico
RecSysOps: Best Practices for Operating a Large-Scale Recommender System. RecSys (2021)
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)
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) (2021)
Fernando Amat Gil, Ashok Chandrashekar, Tony Jebara, Justin Basilico
Artwork personalization at netflix. RecSys (2018)
Justin Basilico, Yves Raimond
Déjà Vu: The Importance of Time and Causality in Recommender Systems. RecSys (2017)
Chao-Yuan Wu, Christopher V. Alvino, Alexander J. Smola, Justin Basilico
Using Navigation to Improve Recommendations in Real-Time. RecSys (2016)
Justin Basilico, Yves Raimond
Recommending for the World. RecSys (2016)
Xavier Amatriain, Justin Basilico
Past, Present, and Future of Recommender Systems: An Industry Perspective. RecSys (2016)
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) (2014)
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)
Thomas Hofmann, Justin Basilico
Collaborative Machine Learning. From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments (2005)
Justin Basilico, Thomas Hofmann
Unifying collaborative and content-based filtering. ICML (2004)
Justin Basilico, Thomas Hofmann
A joint framework for collaborative and content filtering. SIGIR (2004)