« Bandits contextuels » : différence entre les versions
Aucun résumé des modifications |
Aucun résumé des modifications |
||
| Ligne 11 : | Ligne 11 : | ||
== Anglais == | == Anglais == | ||
'''Contextual bandits''' | '''Contextual bandits''' | ||
While multi-arm bandit algorithms go beyond classic A/B/n testing, conveying a large number of algorithms to tackle different problems, all for the sake of achieving the best results possible, they can also become contextual. With the help of a relevant user data stream, contextual bandits for website optimization rely on an incoming stream of user context data, either historical or fresh, which can be used to make better algorithmic decisions in real time. | |||
| Ligne 16 : | Ligne 18 : | ||
[https://www.apprentissageprofond.org/ Source : ''L'apprentissage profond'', Ian Goodfellow, Yoshua Bengio et Aaron Courville Éd. Massot 2018 page 477 ] | [https://www.apprentissageprofond.org/ Source : ''L'apprentissage profond'', Ian Goodfellow, Yoshua Bengio et Aaron Courville Éd. Massot 2018 page 477 ] | ||
[https://www.dynamicyield.com/glossary/contextual-bandit/ Source : dynamicyield.co] | |||
Version du 20 janvier 2021 à 21:07
en construction
Définition
Français
Bandits contextuels
Anglais
Contextual bandits
While multi-arm bandit algorithms go beyond classic A/B/n testing, conveying a large number of algorithms to tackle different problems, all for the sake of achieving the best results possible, they can also become contextual. With the help of a relevant user data stream, contextual bandits for website optimization rely on an incoming stream of user context data, either historical or fresh, which can be used to make better algorithmic decisions in real time.
Contributeurs: Imane Meziani, Jacques Barolet, wiki
