公开(公告)号：US20250124258A1

公开(公告)日：2025-04-17

申请号：US18487487

申请日：2023-10-16

Applicant: YAHOO ASSETS LLC

Inventor： Ariel Raviv ,  Noa Avigdor-Elgrabli ,  Stav Yanovsky Daye ,  Michael Viderman ,  Guy Horowitz

IPC: G06N3/0455 ,  G06N3/0895

Abstract: The present teaching relates to content categorization. Supervised training data and unlabeled data clusters are used to generate augmented training data. Each unlabeled data cluster includes data samples with varying features. Weakly labeled training data is created based on supervised training data and the unlabeled data clusters with data samples therein with cluster labels via consistent self-training so that a labeled data sample in the supervised training data and a data sample in the weakly labeled training data with the same label have varying characteristics. Augmented training data is created from the supervised and the weakly labeled training data and is used to train a robust content categorization model via machine learning.

公开(公告)号：US20250124257A1

公开(公告)日：2025-04-17

申请号：US18487460

申请日：2023-10-16

Applicant: YAHOO ASSETS LLC

Inventor： Ariel Raviv ,  Noa Avigdor-Elgrabli ,  Stav Yanovsky Daye ,  Michael Viderman ,  Guy Horowitz

IPC: G06N3/0455 ,  G06N3/0895

Abstract: The present teaching relates to content categorization. Supervised training data and unlabeled data clusters are used to generate augmented training data. Each unlabeled data cluster includes data samples with varying features. Weakly labeled training data is created with new data samples generated via generative augmentation based on supervised training data and the unlabeled data clusters. Each new data sample is assigned a label from a corresponding data sample from the supervised training data with generated varying characteristics. Augmented training data is created from the supervised and the weakly labeled training data and is used to train a robust content categorization model via machine learning.

公开(公告)号：US20240257181A1

公开(公告)日：2024-08-01

申请号：US18160782

申请日：2023-01-27

Applicant: YAHOO ASSETS LLC

Inventor： Umang Patel ,  Kenneth Sebastian ,  Ariella Voloshin ,  Ariel Livshits ,  Ariel Raviv

IPC: G06Q30/0251 ,  G06Q30/0202 ,  G06Q30/0601

CPC classification number: G06Q30/0255 ,  G06Q30/0202 ,  G06Q30/0631

Abstract: The present teaching relates to method, system, medium, and implementations for product recommendation. When communication content is received from a service provider operating on a platform, information related to a product is identified from a webpage accessed based on a link included in the communication content. Based on the information related to the product, a recommendation of the product is generated and sent to some service providers on different platforms for distribution of the recommendation to intended targets.

公开(公告)号：US12045861B2

公开(公告)日：2024-07-23

申请号：US17454210

申请日：2021-11-09

Applicant: Yahoo Assets LLC

Inventor： Ariel Raviv

IPC: G06Q30/00 ,  G06F40/295 ,  G06Q30/0251 ,  G06Q50/14 ,  H04L67/306 ,  G05B19/418 ,  G06N20/00

CPC classification number: G06Q30/0271 ,  G06F40/295 ,  G06Q50/14 ,  H04L67/306 ,  G06N20/00

Abstract: Disclosed are systems and methods for generating recommendations to users based on historical travel information and electronic communication data. The disclosed systems and methods provide a novel framework for automating the transmission of electronic travel-related recommendations to users by consistently monitoring electronic messages received at an electronic communication mailbox corresponding to a user. The disclosed framework operates by leveraging historical user data, data parsed from electronic communication mailbox corresponding to a user, or various vendor information, and using the aforementioned data as inputs for travel-related recommendation models, in order to generate and transmit the optimal travel-related recommendations to a user.

公开(公告)号：US12034529B2

公开(公告)日：2024-07-09

申请号：US17152277

申请日：2021-01-19

Applicant: YAHOO ASSETS LLC

Inventor： Ariel Raviv ,  Dan Pelleg ,  Ran Wolff ,  Gal Lalouche ,  Noa Avigdor-Elgrabli

IPC: H04L51/212 ,  H04L51/42

CPC classification number: H04L51/212 ,  H04L51/42

Abstract: Disclosed are systems and methods for improving interactions with and between computers in electronic messaging and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The disclosed systems and methods provide systems and methods for generating electronic message filters and for using electronic message filters comprising item category filtering criteria and having an automatically-determined expiration. The discloses systems and methods filter electronic messages using the item category filtering criteria while an electronic message filter remains active as determined using the automatically-determined expiration information.

公开(公告)号：US20250095025A1

公开(公告)日：2025-03-20

申请号：US18468003

申请日：2023-09-15

Applicant: YAHOO ASSETS LLC

Inventor： Alex Shtoff ,  Ariel Raviv ,  Yohay Kaplan

IPC: G06Q30/0242 ,  G06N5/022 ,  G06Q30/0202 ,  G06Q30/0241 ,  G06Q30/0273

Abstract: The present teaching relates to online advertising. Bids directed to a display ad opportunity are received, where the display ad opportunity involves a user and an associated context and each bid includes a candidate advertisement. Auxiliary features are obtained for each bid based on a code generated by an autoencoder based on the bid and a predicted performance metric is determined for the candidate advertisement associated with the bid based on the auxiliary features associated with the bid. A winning advertisement is selected from candidate advertisements of the bids according to a ranking determined based on the respective predicted performance metrics of the candidate advertisements.

公开(公告)号：US11302048B2

公开(公告)日：2022-04-12

申请号：US17007183

申请日：2020-08-31

Applicant: YAHOO ASSETS LLC

Inventor： Ariel Raviv ,  Ran Wolff

IPC: G06T11/00 ,  G06T11/60 ,  H04L51/08 ,  G06K9/34 ,  G06K9/62

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework that automatically generates and recommends Internet memes for inclusion within electronically communicated messages. As a user is drafting a message, the input text of the drafted message is analyzed and a set of Internet (or visual) memes are compiled and presented to the user within the drafting interface. Upon selection of at least one of the memes, the message is modified by automatically removing the text from the message and replacing the now removed text with the selected meme.

公开(公告)号：US20250104117A1

公开(公告)日：2025-03-27

申请号：US18475869

申请日：2023-09-27

Applicant: YAHOO ASSETS LLC

Inventor： Ariel Raviv ,  Oren Shlomo Somekh

IPC: G06Q30/0241 ,  G06Q30/0242 ,  G06Q30/0251

Abstract: The present teaching relates to displaying ads. A generative artificial intelligence (AI) model for creating advertisement assets is obtained, via machine learning, based on training data generated based on online feedback information on previously displayed advertisements. Base advertisement information associated with an advertisement of a product specifying some attributes characterizing the product is received. Using the generative AI model, multiple advertisement assets are created with respect to some attribute of the advertisement. Each advertisement asset is a representation of an attribute. These advertisement assets are used to form different asset combinations, each of which can be used to display the advertisement.

公开(公告)号：US11961108B2

公开(公告)日：2024-04-16

申请号：US16225514

申请日：2018-12-19

Applicant: YAHOO ASSETS LLC

Inventor： Ariel Raviv ,  Chris Gonsalves ,  Prateeksha Uday Chandraghatgi ,  Ashok Kumar ,  Ping-Hsiu Ben Tsai

IPC: G06Q30/0207 ,  G06F18/24 ,  G06Q30/0251 ,  G06V10/764 ,  H04L51/08 ,  H04L51/212

CPC classification number: G06Q30/0239 ,  G06F18/24 ,  G06Q30/0269 ,  G06V10/764 ,  H04L51/08 ,  H04L51/212

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework for analyzing messages associated with an inbox of a user, and providing functionality to the inbox for alerting the user to specific forms of content included within each message. Such functionality can include displaying messages and/or the content contained therein in a novel, dedicated and modified and/or embedded portion of a message inbox. The messages can also be modified upon display within in the inbox to indicate that the message includes content of a specific type. Also, messages that include specific content types can also trigger the disclosed framework to generate and provide alerts to the user indicating the inbox has received or includes specific forms of such content.

公开(公告)号：US11875778B1

公开(公告)日：2024-01-16

申请号：US16685522

申请日：2019-11-15

Applicant: Yahoo Assets LLC

Inventor： Ariel Raviv ,  Avihai Mejer

IPC: G10L13/00 ,  G10L13/08 ,  G10L13/047 ,  G06F9/451 ,  G06F16/245 ,  G06F40/295

CPC classification number: G10L13/047 ,  G06F9/453 ,  G06F16/245 ,  G06F40/295 ,  G10L13/00 ,  G10L13/08

Abstract: Disclosed are systems and methods for generating voice renderings of machine-generated electronic messages. The disclosed systems and methods provide a novel framework for organizing often fragmented machine-generated electronic messages and providing mechanisms for a virtual assistant to produce voice-renderings data extracted from electronic messages. The disclosed system may implement steps for receiving user queries via virtual assistants, extracting data from machine-generated electronic messages, converting the extracted data to purposeful organizational schemas, and generating human perceivable voice renderings based on the user queries and extracted data.