Hewlett-packard Development Company, L.p.

Yahoo Ad Tech LLC

Yahoo! Inc.

Verizon Media Inc.

Hewlett Packard Enterprise Development LP

Technion Research & Development Foundation Limited

Oath Inc.

Yahoo Holdings, Inc.

Michal Aharon

Oren Shlomo Somekh

Doron Shaked

Ira Cohen

Yair Koren

Carl Staelin

Shahar Golan

Ruth Bergman

Nadav Golbandi

Eli Mordechai

Eshcar Hillel

Hadas Kogan

Natalia Silberstein

Tingyi Wu

Tal Cohen

Abraham Shahar

Dror Porat

Assaf Singer

Renato Keshet

Edo Liberty

Pavel Kisilev

Omer Barkol

Hila Nachlieli

Eyal Shelef

Shlomo Harush

Zohar Karnin

Ron Banner

Noa Avigdor-Elgrabli

Lior Shapira

Gregory Braverman

Yohay Kaplan

Boris Oicherman

Alfred M Bruckstein

Lior Katz

Michael Elad

Yoelle Maarek Smadja

Yohanan Sivan

Rotem Stram

Tsahi Rosenbaom

Tsafrir Yedid-Am

Gilad Barash

Dana Drachsler Cohen

Reuth Vexler

Natalia Aizenberg

Meirav Naaman

Ram Arad

Amit Kagian

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.

Isolated budget utilization

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.

Method, computing device, and non-transitory machine readable medium for feedback based item selection and transmission

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.

Weighted pseudo&#x2014;random digital content selection

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.

Method and system for adaptive online updating of ad related models

Method, device, and non-transitory machine readable medium for feedback based item selection and transmission

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.

Aggregated cost per action prediction

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.

Enhanced personalization in multi-user devices

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.

Smart exploration methods for mitigating item cold-start problem in collaborative filtering recommendation systems

Measurement data relating to an image of a sample acquired by a measurement device is received (). A problem is solved that seeks a solution for a spectrum () of the sample, based on a non-linear model for estimating a spectral response and on a profile of the measurement device.

Computing a spectrum of a sample

Disclosed is a system and method for managing mailing list newsletter messages for a recipient user, and organizing such messages in accordance with a receiving user's interests. The present disclosure enables novel organizational tools for emails by intuitively organizing received newsletters and providing highly visible features within a user's inbox respective the newsletters. Organization of received newsletters is ensured through ranking users' mailing lists according to his/her interest in them, based on actions made by the respective user, in addition to actions of other users receiving the same newsletters. Additionally, upon reception of such newsletters, the present disclosure provides a specialized view, in addition to added functionality within a user's inbox, thereby enhancing a user's experience and engagement with received messages of a newsletter.

System and method for mailing list identification and representation

A query is received to search data, where the query includes a search term. A search of the data is performed in response to the query, wherein the search produces result data based on the search term and an identifier of a searcher submitting the query.

Searching based on an identifier of a searcher

Disclosed is a system and method for selectively delivering shared information. The disclosed systems and methods enable a sending user to decide what context of information is to be shared, in that a sending user can determine when and where information is shared. This enables increased social engagement towards relevant information. Additionally, this enables a vast opportunity for commercial opportunities, whereby advertisements can be served contingent upon a consumer's context, and/or only when the product or service offered to the consumer is relevant.

System and method for contextual social messaging

Techniques for correcting the color uniformity of a laser printer of a digital press or other device are provided. A process for correcting the color uniformity of a laser printer may include scanning a test page by an inline scanner of a digital press, determining scanner signal data from the test page, determining a scanner polynomial fitted to the scanner signal data, and determining a non-uniform coverage polynomial from the scanner polynomial. Additionally, techniques for verifying the linearity of a scanner are also provided.

Color uniformity correction using a scanner

Growing community of inventors

Haifa, Israel

Michal Aharon