WO2023067401 - SYSTEMS AND METHODS OF REQUEST GROUPING
National phase entry:
Publication Number
WO/2023/067401
Publication Date
27.04.2023
International Application No.
PCT/IB2022/058009
International Filing Date
26.08.2022
Title **
[English]
SYSTEMS AND METHODS OF REQUEST GROUPING
[French]
SYSTÈMES ET PROCÉDÉS DE REGROUPEMENT DE REQUÊTES
Applicants **
PERION NETWORK LTD.
Inventors
SHPAK, Adi
BERNSTEIN, Anat
ORR, Madi
MEIROVICH, Assaf
Priority Data
63/256,706
18.10.2021
US
17/871,510
22.07.2022
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
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International Searching Authority |
USPTO
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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| Applicant's Legal Status |
Legal Entity
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| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| Translation |
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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 | 2334 | |
| EPO | Filing, Examination, Granting | 13497 | |
| Japan | Filing, Examination, Granting | 2386 | |
| South Korea | Filing, Examination, Granting | 2629 | |
| USA | Filing, Examination, Granting | 4310 |
Total:
25,156
The term for entry into the National Phase has expired. This quotation is for informational purposes only
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Abstract[English]
Apparatuses, systems, and methods of training and utilizing a machine learning model to categorize data requests based on contextual signals. Using a trained machine learning model, a computer system is enabled to provide relevant content to users in the absence of third-party cookies.[French]
La présente invention concerne des appareils, des systèmes et des procédés d'entraînement et d'utilisation d'un modèle d'apprentissage machine pour catégoriser des requêtes de données sur la base de signaux contextuels. À l'aide d'un modèle d'apprentissage machine entraîné, un système informatique est activé pour fournir un contenu pertinent à des utilisateurs en l'absence de témoins de tierce partie.