Patents by Inventor Michal Aharon
Michal Aharon has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230377003Abstract: One or more computing devices, systems, and/or methods for isolated budget utilization are provided. A first budget pacing component is assigned to control bidding by a first content serving component for a set of content items. A second budget pacing component is assigned to control bidding by a second content serving component for the set of content items. The first budget pacing component controls the bidding by the first content serving component according to a first portion of a content item budget based upon a traffic share of the first content serving component. The second budget pacing component controls the bidding by the second content serving component according to a second portion of the content item budget based upon a traffic share of the second content serving component.Type: ApplicationFiled: August 7, 2023Publication date: November 23, 2023Inventors: Yair Koren, Abraham Shahar, Tal Cohen, Michal Aharon, Assaf Singer
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Patent number: 11810158Abstract: Briefly, embodiments disclosed herein may relate to digital content selection, and more particularly to weighted pseudo-random digital content selection for use in and/or with online digital content delivery, such as online advertising, for example.Type: GrantFiled: December 22, 2015Date of Patent: November 7, 2023Assignee: YAHOO AD TECH LLCInventors: Shahar Golan, Oren Shlomo Somekh, Michal Aharon
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Patent number: 11720928Abstract: One or more computing devices, systems, and/or methods for isolated budget utilization are provided. A first budget pacing component is assigned to control bidding by a first content serving component for a set of content items. A second budget pacing component is assigned to control bidding by a second content serving component for the set of content items. The first budget pacing component controls the bidding by the first content serving component according to a first portion of a content item budget based upon a traffic share of the first content serving component. The second budget pacing component controls the bidding by the second content serving component according to a second portion of the content item budget based upon a traffic share of the second content serving component.Type: GrantFiled: May 16, 2019Date of Patent: August 8, 2023Assignee: Yahoo Ad Tech LLCInventors: Yair Koren, Abraham Shahar, Tal Cohen, Michal Aharon, Assaf Singer
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Publication number: 20230230125Abstract: The present teaching relates to generating an updated model related to advertisement selection. In one example, a request is obtained for updating a model to be utilized for selecting an advertisement. A plurality of copies of the model is generated. The model is pre-selected based on a performance metric related to advertisement selection. Based on each of the plurality of copies, a candidate model is created by modifying one or more parameters of the copy of the model to create a plurality of candidate models. One of the plurality of candidate models is selected based on the performance metric. The steps of generating, creating, and selecting are repeated until a predetermined condition is met. The model is updated with the latest selected candidate model when the predetermined condition is met.Type: ApplicationFiled: December 16, 2022Publication date: July 20, 2023Inventors: Amit Kagian, Michal Aharon, Oren Shlomo Somekh
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Publication number: 20230138111Abstract: One or more computing devices, systems, and/or methods for selecting content items for transmission to client devices are provided. A request for content associated with a client device may be received. Bid values and/or click probabilities associated with content items may be determined. A probability of receiving a negative signal associated with a content item of the content items from the client device responsive to presenting the content item via the client device may be determined based upon a user profile associated with the client device. A content item score, of content item scores associated with the content items, may be generated based upon the probability, a click probability and/or a bid value associated with the content item. The content item may be selected from the content items for presentation via the client device based upon the content item scores. The content item may be transmitted to the client device.Type: ApplicationFiled: January 1, 2023Publication date: May 4, 2023Inventors: Natalia Silberstein, Oren Shlomo Somekh, Yair Koren, Michal Aharon, Tingyi Wu, Dror Porat
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Patent number: 11544777Abstract: One or more computing devices, systems, and/or methods for selecting content items for transmission to client devices are provided. A request for content associated with a client device may be received. Bid values and/or click probabilities associated with content items may be determined. A probability of receiving a negative signal associated with a content item of the content items from the client device responsive to presenting the content item via the client device may be determined based upon a user profile associated with the client device. A content item score, of content item scores associated with the content items, may be generated based upon the probability, a click probability and/or a bid value associated with the content item. The content item may be selected from the content items for presentation via the client device based upon the content item scores. The content item may be transmitted to the client device.Type: GrantFiled: July 9, 2019Date of Patent: January 3, 2023Assignee: YAHOO AD TECH LLCInventors: Natalia Silberstein, Oren Shlomo Somekh, Yair Koren, Michal Aharon, Tingyi Wu, Dror Porat
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Patent number: 11544740Abstract: The present teaching relates to generating an updated model related to advertisement selection. In one example, a request is obtained for updating a model to be utilized for selecting an advertisement. A plurality of copies of the model is generated. The model is pre-selected based on a performance metric related to advertisement selection. Based on each of the plurality of copies, a candidate model is created by modifying one or more parameters of the copy of the model to create a plurality of candidate models. One of the plurality of candidate models is selected based on the performance metric. The steps of generating, creating, and selecting are repeated until a predetermined condition is met. The model is updated with the latest selected candidate model when the predetermined condition is met.Type: GrantFiled: February 15, 2017Date of Patent: January 3, 2023Assignee: YAHOO AD TECH LLCInventors: Amit Kagian, Michal Aharon, Oren Shlomo Somekh
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Patent number: 11127035Abstract: One or more computing devices, systems, and/or methods for aggregated cost per action prediction are provided. Cost and conversion count data, comprising costs for a set of content items to be displayed to users and a count of conversions corresponding to actions performed by users in response to being provided with the set of content items, is tracked. The cost and conversion count data is inputted into a set of decay calculators that utilize different decay strategies. Cost per action predictions by the set of decay calculators for a content item are weighted to create an aggregated cost per action prediction, wherein the weights are based upon whether decay calculators correctly or incorrectly predicted cost per actions for the set of content items.Type: GrantFiled: July 30, 2019Date of Patent: September 21, 2021Assignee: Verizon Media Inc.Inventors: Rotem Stram, Yohay Kaplan, Michal Aharon
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Patent number: 10929758Abstract: Disclosed herein is an enhanced device personalization that personalizes a user's experience with a device, e.g., a multi-user device. Rather than personalizing based on the specific user(s) that are using, an active entity, which represents a type of consumption, may be generated and used to make recommendations for personalizing an experience using the device. In a case of a multi-user device, each user's experience is personalized by determining an active entity for the user's experience and without knowledge of which user is using the device.Type: GrantFiled: March 30, 2018Date of Patent: February 23, 2021Assignee: VERIZON MEDIA INC.Inventors: Eshcar Hillel, Michal Aharon, Nadav Golbandi
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Publication number: 20210035157Abstract: One or more computing devices, systems, and/or methods for aggregated cost per action prediction are provided. Cost and conversion count data, comprising costs for a set of content items to be displayed to users and a count of conversions corresponding to actions performed by users in response to being provided with the set of content items, is tracked. The cost and conversion count data is inputted into a set of decay calculators that utilize different decay strategies. Cost per action predictions by the set of decay calculators for a content item are weighted to create an aggregated cost per action prediction, wherein the weights are based upon whether decay calculators correctly or incorrectly predicted cost per actions for the set of content items.Type: ApplicationFiled: July 30, 2019Publication date: February 4, 2021Inventors: Rotem Stram, Yohay Kaplan, Michal Aharon
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Publication number: 20210012415Abstract: One or more computing devices, systems, and/or methods for selecting content items for transmission to client devices are provided. A request for content associated with a client device may be received. Bid values and/or click probabilities associated with content items may be determined. A probability of receiving a negative signal associated with a content item of the content items from the client device responsive to presenting the content item via the client device may be determined based upon a user profile associated with the client device. A content item score, of content item scores associated with the content items, may be generated based upon the probability, a click probability and/or a bid value associated with the content item. The content item may be selected from the content items for presentation via the client device based upon the content item scores. The content item may be transmitted to the client device.Type: ApplicationFiled: July 9, 2019Publication date: January 14, 2021Inventors: Natalia Silberstein, Oren Shlomo Somekh, Yair Koren, Michal Aharon, Tingyi Wu, Dror Porat
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Publication number: 20200364753Abstract: One or more computing devices, systems, and/or methods for isolated budget utilization are provided. A first budget pacing component is assigned to control bidding by a first content serving component for a set of content items. A second budget pacing component is assigned to control bidding by a second content serving component for the set of content items. The first budget pacing component controls the bidding by the first content serving component according to a first portion of a content item budget based upon a traffic share of the first content serving component. The second budget pacing component controls the bidding by the second content serving component according to a second portion of the content item budget based upon a traffic share of the second content serving component.Type: ApplicationFiled: May 16, 2019Publication date: November 19, 2020Inventors: Yair Koren, Abraham Shahar, Tal Cohen, Michal Aharon, Assaf Singer
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Publication number: 20200273095Abstract: One or more computing devices, systems, and/or methods for generating bid values are provided. A content item and/or a budget associated with the content item may be identified. A target spend data structure associated with the content item may comprise a plurality of target spend values associated with a plurality of sub-periods of time within a first instance of a period of time. A first update target spend value, associated with a second instance of a first sub-period of time, may be generated based upon a first budget factor calculation associated with the first instance of the first sub-period of time and a second budget factor calculation associated with the first instance of the period of time. A first bid value for presenting the first content item at the second instance of the first sub-period of time may be generated based upon the first update target spend value.Type: ApplicationFiled: February 27, 2019Publication date: August 27, 2020Inventors: Yair Koren, Michal Aharon, Abraham Shahar, Assaf Keret, Tal Cohen, Yohay Kaplan
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Publication number: 20180232660Abstract: The present teaching relates to generating an updated model related to advertisement selection. In one example, a request is obtained for updating a model to be utilized for selecting an advertisement. A plurality of copies of the model is generated. The model is pre-selected based on a performance metric related to advertisement selection. Based on each of the plurality of copies, a candidate model is created by modifying one or more parameters of the copy of the model to create a plurality of candidate models. One of the plurality of candidate models is selected based on the performance metric. The steps of generating, creating, and selecting are repeated until a predetermined condition is met. The model is updated with the latest selected candidate model when the predetermined condition is met.Type: ApplicationFiled: February 15, 2017Publication date: August 16, 2018Inventors: Amit Kagian, Michal Aharon, Oren Shlomo Somekh
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Publication number: 20180225580Abstract: Disclosed herein is an enhanced device personalization that personalizes a user's experience with a device, e.g., a multi-user device. Rather than personalizing based on the specific user(s) that are using, an active entity, which represents a type of consumption, may be generated and used to make recommendations for personalizing an experience using the device. In a case of a multi-user device, each user's experience is personalized by determining an active entity for the user's experience and without knowledge of which user is using the device.Type: ApplicationFiled: March 30, 2018Publication date: August 9, 2018Inventors: Eshcar HILLEL, Michal AHARON, Nadav GOLBANDI
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Patent number: 9934466Abstract: Disclosed herein is an enhanced device personalization that personalizes a user's experience with a device, e.g., a multi-user device. Rather than personalizing based on the specific user(s) that are using, an active entity, which represents a type of consumption, may be generated and used to make recommendations for personalizing an experience using the device. In a case of a multi-user device, each user's experience is personalized by determining an active entity for the user's experience and without knowledge of which user is using the device.Type: GrantFiled: July 30, 2014Date of Patent: April 3, 2018Assignee: OATH INC.Inventors: Eshcar Hillel, Michal Aharon, Nadav Golbandi
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Patent number: 9910898Abstract: Systems and methods for building a latent item vector and item bias for a new item in a collaborative filtering system are disclosed. The method includes dividing incoming users into intervals with each interval having a learning phase and a selection phase. The learning phase scores each incoming user according to a best estimate latent vector and bias and saves the highest score. In the selection each incoming user is scored and a user exceeding the highest score is selected. The best estimate latent vector and bias is then updated based on the user's vector and bias, and the user's interaction with the item. The updated best estimate latent vector is then used in further intervals for learning and selecting users.Type: GrantFiled: September 17, 2015Date of Patent: March 6, 2018Assignee: YAHOO HOLDINGS, INC.Inventors: Oren Shlomo Somekh, Michal Aharon, Shahar Golan, Noa Avigdor-Elgrabli, Dana Drachsler Cohen
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Patent number: 9858243Abstract: Measurement data relating to an image of a sample acquired by a measurement device is received (202). A problem is solved that seeks a solution for a spectrum (204) of the sample, based on a non-linear model for estimating a spectral response and on a profile of the measurement device.Type: GrantFiled: April 8, 2011Date of Patent: January 2, 2018Assignee: Hewlett-Packard Development Company, L.P.Inventors: Hadas Kogan, Michal Aharon, Doron Shaked
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Publication number: 20170177337Abstract: Briefly, embodiments disclosed herein may relate to digital content selection, and more particularly to weighted pseudo-random digital content selection for use in and/or with online digital content delivery, such as online advertising, for example.Type: ApplicationFiled: December 22, 2015Publication date: June 22, 2017Inventors: Shahar Golan, Oren Shlomo Somekh, Michal Aharon
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Publication number: 20170083522Abstract: Systems and methods for building a latent item vector and item bias for a new item in a collaborative filtering system are disclosed. The method includes dividing incoming users into intervals with each interval having a learning phase and a selection phase. The learning phase scores each incoming user according to a best estimate latent vector and bias and saves the highest score. In the selection each incoming user is scored and a user exceeding the highest score is selected. The best estimate latent vector and bias is then updated based on the user's vector and bias, and the user's interaction with the item. The updated best estimate latent vector is then used in further intervals for learning and selecting users.Type: ApplicationFiled: September 17, 2015Publication date: March 23, 2017Inventors: Oren Shlomo Somekh, Michal Aharon, Shahar Golan, Noa Avigdor-Elgrabli, Dana Drachsler Cohen