Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shota Yasui"'
Publikováno v:
Fisheries Science
The spread of coronavirus disease 2019 (COVID-19) and subsequent lockdown measures have impacted economies and industries worldwide. The fisheries industry witnessed a sharp decline in demand and a slump in fish prices due to its dependence on the fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1113872d93eb8c074d31658195a731d
https://doi.org/10.1007/s12562-021-01574-x
https://doi.org/10.1007/s12562-021-01574-x
Publikováno v:
Fisheries Science. 89:431-431
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac32a0fee4c054a87af61b45d6b30c93
https://doi.org/10.1007/s12562-023-01688-4
https://doi.org/10.1007/s12562-023-01688-4
Publikováno v:
SIGIR
In display advertising, predicting the conversion rate (CVR), meaning the probability that a user takes a predefined action on an advertiser's website, is a fundamental task for estimating the value of displaying an advertisement to a user. There are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46796572d68677d189f7b597aec95458
https://doi.org/10.1145/3397271.3401282
https://doi.org/10.1145/3397271.3401282
Publikováno v:
WWW
In display advertising, predicting the conversion rate, that is, the probability that a user takes a predefined action on an advertiser's website, such as purchasing goods is fundamental in estimating the value of displaying the advertisement. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::295480e2c594f42b2115019ff3ad9231
https://doi.org/10.1145/3366423.3380032
https://doi.org/10.1145/3366423.3380032
Publikováno v:
RecSys
Efficient methods to evaluate new algorithms are critical for improving interactive bandit and reinforcement learning systems such as recommendation systems. A/B tests are reliable, but are time- and money-consuming, and entail a risk of failure. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::712ae04ee4f157e3369d4dff04e1ffbf
http://arxiv.org/abs/2002.08536
http://arxiv.org/abs/2002.08536
Autor:
Shota Yasui, Masahiro Kato
We consider training a binary classifier under delayed feedback (\emph{DF learning}). For example, in the conversion prediction in online ads, we initially receive negative samples that clicked the ads but did not buy an item; subsequently, some samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1a01ba7dfab3be69884bdda55bf0745