Justin Basilico

22 papers A* 3A 12Journal 3Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Navigating the Feedback Loop in Recommender Systems: Insights and Strategies from Industry Practice. RecSys Ding Tong, Qifeng Qiao, Ting-Po Lee, James McInerney, Justin Basilico
2023	A	`ed.`	Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023 RecSys Jie Zhang, Li Chen, Shlomo Berkovsky, Min Zhang, Tommaso Di Noia, Justin Basilico, Luiz Pizzato, Yang Song
2023	—	`ed.`	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. LERI@RecSys Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi
2023	J	`jnl`	Report on the Workshop on Learning and Evaluating Recommendations with Impressions (LERI) at RecSys 2023. SIGIR Forum Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi
2023	A	`conf`	Reward innovation for long-term member satisfaction. RecSys Gary Tang, Jiangwei Pan, Henry Wang, Justin Basilico
2023	A	`conf`	Workshop on Learning and Evaluating Recommendations with Impressions (LERI). RecSys Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi
2022	A	`ed.`	RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022 RecSys Jennifer Golbeck, F. Maxwell Harper, Vanessa Murdock, Michael D. Ekstrand, Bracha Shapira, Justin Basilico, Keld T. Lundgaard, Even Oldridge
2021	A*	`conf`	2nd International Workshop on Industrial Recommendation Systems (IRS). KDD Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu
2021	A	`conf`	Accordion: A Trainable Simulator forLong-Term Interactive Systems. RecSys James McInerney, Ehtsham Elahi, Justin Basilico, Yves Raimond, Tony Jebara
2021	J	`jnl`	Deep Learning for Recommender Systems: A Netflix Case Study. AI Mag. Harald Steck, Linas Baltrunas, Ehtsham Elahi, Dawen Liang, Yves Raimond, Justin Basilico
2021	A	`conf`	RecSysOps: Best Practices for Operating a Large-Scale Recommender System. RecSys Mohammad Saberian, Justin Basilico
2018	A	`conf`	Artwork personalization at netflix. RecSys Fernando Amat Gil, Ashok Chandrashekar, Tony Jebara, Justin Basilico
2017	A	`conf`	Déjà Vu: The Importance of Time and Causality in Recommender Systems. RecSys Justin Basilico, Yves Raimond
2016	A	`conf`	Past, Present, and Future of Recommender Systems: An Industry Perspective. RecSys Xavier Amatriain, Justin Basilico
2016	A	`conf`	Recommending for the World. RecSys Justin Basilico, Yves Raimond
2016	A	`conf`	Using Navigation to Improve Recommendations in Real-Time. RecSys Chao-Yuan Wu, Christopher V. Alvino, Alexander J. Smola, Justin Basilico
2015	—	`ch.`	Recommender Systems in Industry: A Netflix Case Study. Recommender Systems Handbook Xavier Amatriain, Justin Basilico
2014	J	`jnl`	DeepQA Jeopardy! Gamification: A Machine-Learning Perspective. IEEE Trans. Comput. Intell. AI Games Aaron K. Baughman, Wesley Chuang, Kevin R. Dixon, Zachary Benz, Justin Basilico
2009	—	`conf`	Improved Team Performance Using EEG- and Context-Based Cognitive-State Classifications for a Vehicle Crew. HCI (16) Kevin R. Dixon, Konrad Hagemann, Justin Basilico, J. Chris Forsythe, Siegfried Rothe, Michael Schrauf, Wilhelm E. Kincses
2005	—	`conf`	Collaborative Machine Learning. From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments Thomas Hofmann, Justin Basilico
2004	A*	`conf`	A joint framework for collaborative and content filtering. SIGIR Justin Basilico, Thomas Hofmann
2004	A*	`conf`	Unifying collaborative and content-based filtering. ICML Justin Basilico, Thomas Hofmann