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of 2
pro vyhledávání: '"Gee Jeffrey Douglas"'
Autor:
Gungor Polatkan, Sara Smoot, Gee Jeffrey Douglas, Kirill Talanine, Deepak Kumar, Onkar Anant Dalal, Konstantin Salomatin, Rohan Ramanath
Publikováno v:
KDD
One of the most well-established applications of machine learning is in deciding what content to show website visitors. When observation data comes from high-velocity, user-generated data streams, machine learning methods perform a balancing act betw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec56bb94ae65c8b36e8d6a68bbef4481
https://doi.org/10.1145/3447548.3467172
https://doi.org/10.1145/3447548.3467172
Autor:
Tcheprasov Vladislav, Konstantin Salomatin, Deepak Kumar, Sneha Chaudhari, Shivani Rao, Joshi Mahesh S, Gungor Polatkan, Gee Jeffrey Douglas
Publikováno v:
CIKM
We present the evolution of a large-scale content recommendation platform for LinkedIn Learning, serving 645M+ LinkedIn users across several different channels (e.g., desktop, mobile). We address challenges and complexities from both algorithms and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98c3c1fe253c0d3656f8cb09fa0814a9
https://doi.org/10.1145/3357384.3357817
https://doi.org/10.1145/3357384.3357817