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公开(公告)号：US11520840B2
公开(公告)日：2022-12-06
申请号：US16726548
申请日：2019-12-24
Applicant: YAHOO ASSETS LLC
Inventor： Dan Pelleg , Ran Wolff , Avihai Mejer
IPC: G06F16/9535 , G06F16/21 , G06F16/9538
Abstract: The present teaching relates to a method, system, and programming for content personalization. A request is received from a user to obtain a content item. Information indicative of a literacy-level of the user is obtained and the content item to be provided to the user is retrieved. The content item is modified by updating information included in the content item based on the literacy-level of the user to generate an updated content item. The updated content item is provided to the user in response to the request.
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公开(公告)号：US11823021B2
公开(公告)日：2023-11-21
申请号：US16944415
申请日：2020-07-31
Applicant: YAHOO ASSETS LLC
Inventor： Gal Lalouche , Ran Wolff
Abstract: The present teaching relates to method, system, medium, and implementations for machine learning. A check is performed on a level of available bidding currency for bidding a training sample that is used to train a model via machine learning. A bid in an amount within the available bidding currency is sent, to a source of the training sample, for the training sample. The training sample is received from the source when the bid is successful. A prediction is then generated in accordance with the training sample based on one or more parameters associated with the model and is sent to the source.
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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.
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Patent Agency Ranking
公开(公告)号：US20230093836A1
公开(公告)日：2023-03-30
申请号：US18061625
申请日：2022-12-05
Applicant: YAHOO ASSETS LLC
Inventor： Dan Pelleg , Ran Wolff , Avihai Mejer
IPC: G06F16/9535 , G06F16/21 , G06F16/9538
Abstract: The present teaching relates to a method, system, and programming for content personalization. A request is received from a user to obtain a content item. Information indicative of a literacy-level of the user is obtained and the content item to be provided to the user is retrieved. The content item is modified by updating information included in the content item based on the literacy-level of the user to generate an updated content item. The updated content item is provided to the user in response to the request.
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公开(公告)号：US11921846B2
公开(公告)日：2024-03-05
申请号：US16835871
申请日：2020-03-31
Applicant: YAHOO ASSETS LLC
Inventor： Stav Yanovsky Daye , Ran Wolff
IPC: G06F21/55 , G06F18/214 , G06F18/22 , G06F21/62
CPC classification number: G06F21/552 , G06F18/214 , G06F18/22 , G06F21/55 , G06F21/6218 , G06F2221/2141
Abstract: Disclosed are systems and methods for improving interactions with and between computers in distributional similarity identification using randomized observations. In connection with an intrusion detection system monitoring a computing system, a pair of perturbed sample sets are generating using a pair of real sample set (or real observations) and a pair of random sample sets (of randomly-selected observations), and a similarity measuring representing a level of consistency in user behavior is determined. The systems improve the quality and accuracy of the similarity determination for use in intrusion detection.
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公开(公告)号：US12141237B2
公开(公告)日：2024-11-12
申请号：US16944503
申请日：2020-07-31
Applicant: YAHOO ASSETS LLC
Inventor： Gal Lalouche , Ran Wolff
IPC: G06F18/21 , G06F18/214 , G06N20/20
Abstract: The present teaching relates to method, system, medium, and implementations for machine learning. A bid is received, from an expert during training, for a training sample with an amount within a level of available bidding currency associated with the expert. The training sample is used for training a model associated with the expert. It is determined whether the expert is among at least one winner selected based on bids from one or more experts. If the expert is among the at least one winner, the training sample is sent to the expert. The at least one winner is selected based on one or more criteria aiming at expert diversification.
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公开(公告)号：US11915114B2
公开(公告)日：2024-02-27
申请号：US16944324
申请日：2020-07-31
Applicant: YAHOO ASSETS LLC
Inventor： Gal Lalouche , Ran Wolff
Abstract: The present teaching relates to method, system, medium, and implementations for machine learning. A training sample is first received from a source. A prediction is generated according to the training sample and based on one or more parameters associated with a model. A metric characterizing the prediction is also determined. The prediction and the metric are transmitted to the source to facilitate a determination on whether a ground truth label for the training sample is to be provided. When the ground truth label is received from the source, the one or more parameters of the model are updated based on the prediction and the ground truth label.
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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
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.
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