Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference
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3580305.3599183.pdf
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791.12 KB
Format
Adobe PDF
Checksum (MD5)
cce5674b8a9a5068468bc5d7065113af
Author(s)
Gupta, Aman
Keerthi, S. Sathiya
Acharya, Ayan
Cheng, Miao
Ocejo Elizondo, Borja
Ramanath, Rohan
Mazumder, Rahul
Basu, Kinjal
Tay, J. Kenneth
Gupta, Rupesh
Date Issued
August 6, 2023
Publisher
ACM|Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Citation
Gupta, Aman, Keerthi, S. Sathiya, Acharya, Ayan, Cheng, Miao, Ocejo Elizondo, Borja et al. 2023. "Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference."
Version
Final published version
MIT Department
Statistics and Data Science Center (Massachusetts Institute of Technology)
Sloan School of Management
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1145/3580305.3599183
