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Basilico, Justin
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1

Navigating the Feedback Loop in Recommender Systems: Insigh..:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,
Tong, Ding ; Qiao, Qifeng ; Lee, Ting-Po.. - p. 1058-1061 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

Reward innovation for long-term member satisfaction:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,
Tang, Gary ; Pan, Jiangwei ; Wang, Henry. - p. 396-399 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Proceedings of the 17th ACM Conference on Recommender Syste..:

Zhang, Jie ; Chen, Li ; Berkovsky, Shlomo... , 2023
Link: https://dl.acm.org/doi/1..
 
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4

Workshop on Learning and Evaluating Recommendations with Im..:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,
Ferrari Dacrema, Maurizio ; Castells, Pablo ; Basilico, Justin. - p. 1248-1251 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

Proceedings of the 16th ACM Conference on Recommender Syste..:

Golbeck, Jennifer ; Harper, F. Maxwell ; Murdock, Vanessa... , 2022
Link: https://dl.acm.org/doi/1..
 
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6

2nd International Workshop on Industrial Recommendation Sys..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
Xu, Jianpeng ; Wu, Lingfei ; Pang, Xiaolin... - p. 4173-4174 , 2021
Link: https://dl.acm.org/doi/1..
 
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7

Accordion: A Trainable Simulator for Long-Term Interactive ..:

, In: Proceedings of the 15th ACM Conference on Recommender Systems,
McInerney, James ; Elahi, Ehtsham ; Basilico, Justin.. - p. 102-113 , 2021
Link: https://dl.acm.org/doi/1..
 
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8

RecSysOps: Best Practices for Operating a Large-Scale Recom..:

, In: Proceedings of the 15th ACM Conference on Recommender Systems,
Saberian, Mohammad ; Basilico, Justin - p. 590-591 , 2021
Link: https://dl.acm.org/doi/1..
 
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9

Artwork personalization at netflix:

, In: Proceedings of the 12th ACM Conference on Recommender Systems,
Amat, Fernando ; Chandrashekar, Ashok ; Jebara, Tony. - p. 487-488 , 2018
Link: https://dl.acm.org/doi/1..
 
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10

Déjà Vu : The Importance of Time and Causality in Recomm..:

, In: Proceedings of the Eleventh ACM Conference on Recommender Systems,
Basilico, Justin ; Raimond, Yves - p. 342 ff. , 2017
Link: https://dl.acm.org/doi/1..
 
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11

Recommending for the World:

, In: Proceedings of the 10th ACM Conference on Recommender Systems,
Basilico, Justin ; Raimond, Yves - p. 375 ff. , 2016
Link: https://dl.acm.org/doi/1..
 
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12

Using Navigation to Improve Recommendations in Real-Time:

, In: Proceedings of the 10th ACM Conference on Recommender Systems,
Wu, Chao-Yuan ; Alvino, Christopher V. ; Smola, Alexander J.. - p. 341-348 , 2016
Link: https://dl.acm.org/doi/1..
 
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13

Past, Present, and Future of Recommender Systems : An In..:

, In: Proceedings of the 10th ACM Conference on Recommender Systems,
Amatriain, Xavier ; Basilico, Justin - p. 211-214 , 2016
Link: https://dl.acm.org/doi/1..
 
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14

DeepQA Jeopardy! Gamification: A Machine-Learning Perspecti..:

Baughman, Aaron K. ; Chuang, Wesley ; Dixon, Kevin R...
IEEE Transactions on Computational Intelligence and AI in Games.  6 (2014)  1 - p. 55-66 , 2014
Link: https://doi.org/10.1109/..
 
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15

Using After-Action Review Based on Automated Performance As..:

Stevens-Adams, Susan M. ; Basilico, Justin D. ; Abbott, Robert G...
Proceedings of the Human Factors and Ergonomics Society Annual Meeting.  54 (2010)  27 - p. 2309-2313 , 2010
Link: https://doi.org/10.1177/..
 
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