WO2024028789 - MACHINE-LEARNING MODEL TO PREDICT LIKELIHOOD
National phase entry is expected:
Publication Number
WO/2024/028789
Publication Date
08.02.2024
International Application No.
PCT/IB2023/057835
International Filing Date
02.08.2023
Title **
[English]
MACHINE-LEARNING MODEL TO PREDICT LIKELIHOOD
[French]
MODÈLE D'APPRENTISSAGE AUTOMATIQUE POUR PRÉDIRE LA PROBABILITÉ
Applicants **
TIDE PLATFORM LIMITED
Inventors
KOUPANOU, Natalia
Priority Data
20220100637
03.08.2022
GR
17/883,807
09.08.2022
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
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| Number of Office Actions | * |
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International Searching Authority |
EPO
* |
| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
* |
| Type of Assignment |
The Standard Agent's Assignment
* |
| Applicant's Legal Status |
Legal Entity
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| * | |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Patent Delivery |
Send the Letters Patent by Courier
* |
| 译文 |
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* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2226 | |
| EPO | Filing, Examination, Granting | 10656 | |
| Japan | Filing, Examination, Granting | 2307 | |
| South Korea | Filing, Examination, Granting | 2413 | |
| USA | Filing, Examination, Granting | 4740 |
Total:
22,342
The term for entry into the National Phase has expired. This quotation is for informational purposes only
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Abstract[English]
A risk-evaluation model is trained using historical data to predict the likelihoods of future events in a future time period that impact a product. The time period may correspond to the time period over which the product is provided. On receiving a request for the product, the model is used to predict the likelihood of an event occurring and a recommendation of whether to provide the product is made to a provider of the product. The product may be provided based on the recommendation.[French]
Un modèle d'évaluation de risque est entraîné à l'aide de données historiques pour prédire les probabilités d'événements futurs dans une future période qui impacte un produit. La période peut correspondre à la période pendant laquelle le produit est fourni. Lors de la réception d'une demande pour le produit, le modèle est utilisé pour prédire la probabilité d'un événement se produisant et une recommandation indiquant s'il faut fournir le produit à un fournisseur du produit est fournie. Le produit peut être fourni sur la base de la recommandation.