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Interview with Simon Funk

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Gregory PiatetskyAuthors Info & Claims

ACM SIGKDD Explorations Newsletter, Volume 9, Issue 1

Pages 38 - 40

https://doi.org/10.1145/1294301.1294311

Published: 01 June 2007 Publication History

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Abstract

Interview with Simon Funk -- a Netflix prize leader, an outstanding hacker, and an original thinker.

References

[1]

since this interview was taken, another Netflix prize leader - ML at U Toronto team has published a paper describing their approach at www.cs.toronto.edu/~rsalakhu/mltoronto.html, but not in as much detail.

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[2]

http://sifter.org/~simon/journal/20061211.html

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Asri BIgmoullan IQassimi S(2024)Integrating Active Learning Strategies in Model Based Recommender SystemsProceedings of the 7th International Conference on Networking, Intelligent Systems and Security10.1145/3659677.3659838(1-8)Online publication date: 18-Apr-2024
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Interview with Simon Funk

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Information & Contributors

Information

Published In

ACM SIGKDD Explorations Newsletter Volume 9, Issue 1

Special issue on data mining for health informatics

June 2007

58 pages

ISSN:1931-0145

EISSN:1931-0153

DOI:10.1145/1294301

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2007

Published in SIGKDD Volume 9, Issue 1

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Cited By

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Asri BIgmoullan IQassimi S(2024)Integrating Active Learning Strategies in Model Based Recommender SystemsProceedings of the 7th International Conference on Networking, Intelligent Systems and Security10.1145/3659677.3659838(1-8)Online publication date: 18-Apr-2024
https://dl.acm.org/doi/10.1145/3659677.3659838
Bałchanowski MBoryczka U(2023)A Comparative Study of Rank Aggregation Methods in Recommendation SystemsEntropy10.3390/e2501013225:1(132)Online publication date: 9-Jan-2023
https://doi.org/10.3390/e25010132
Polat Erdeniz SSchrempf MKramer DFelfernig A(2022)A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics RecommendationFoundations of Intelligent Systems10.1007/978-3-031-16564-1_45(467-476)Online publication date: 26-Sep-2022
https://doi.org/10.1007/978-3-031-16564-1_45
Wang BHan JCuan Y(2020)Improved Metric Factorization Recommendation Algorithm Based on Social Networks and Implicit FeedbackJournal of Physics: Conference Series10.1088/1742-6596/1634/1/0120371634(012037)Online publication date: 14-Oct-2020
https://doi.org/10.1088/1742-6596/1634/1/012037
Xie XQiu M(2019)Collaboration Filtering Recommendation Algorithm Based on the Latent Factor Model and Improved Spectral ClusteringData Science10.1007/978-981-15-0118-0_8(89-100)Online publication date: 13-Sep-2019
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Feuerverger AHe YKhatri S(2012)Statistical Significance of the Netflix ChallengeStatistical Science10.1214/11-STS36827:2Online publication date: 1-May-2012
https://doi.org/10.1214/11-STS368
Almosallam IAlkanhal M(2011)Speech Rating System through Space MappingProceedings of the 2011 10th International Conference on Machine Learning and Applications and Workshops - Volume 0110.1109/ICMLA.2011.130(31-35)Online publication date: 18-Dec-2011
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Koren Y(2010)Factor in the neighborsACM Transactions on Knowledge Discovery from Data10.1145/1644873.16448744:1(1-24)Online publication date: 18-Jan-2010
https://dl.acm.org/doi/10.1145/1644873.1644874

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