Abstract: Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically analyze a live streaming media file, and identify portions of the media that are highlights. The content classified as a highlight can be shared across social media platforms, and indexed for searching respective to attributes of the video content. The streaming and highlight media content is renderable in a novel, modified video player that enables variable playback speeds for how content is classified, and enables on-demand selections of specific content portions and adjustable rendering displays during streaming.

Abstract: One or more computing devices, systems, and/or methods are provided. Shaded bid values may be determined and/or submitted to one or more auction modules for participation in auctions. Auction information including at least one of minimum bid values to win associated with the auctions, sets of features associated with the auctions, the shaded bid values associated with the auctions, unshaded bid values associated with the auctions, etc. may be stored in a database. A machine learning model may be trained using a loss function and/or the auction information to generate a first machine learning model with feature parameters associated with features. A bid request, indicative of a second set of features, may be received. The first machine learning model may be used to determine a shaded bid value for submission based upon one or more first feature parameters, of the feature parameters, associated with the second set of features.

Abstract: Systems, apparatuses, and methods are provided for determining a bid value for placing an advertisement onto advertising space available through an electronic marketplace. A method is used for calculating the option value of maintaining the advertisement in the advertising space during one or more periods of time. The option value may be based on expected profits and the estimated future value of maintaining the advertisement. The option value may then be used to calculate the bid price for placing the advertisement.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, a review initiation request may be received from a first email account. The review initiation request may indicate proposed email content and/or a reviewer of the proposed email content. An email may be generated based upon the review initiation request. The email may include the proposed email content and/or an email review interface including a feedback entry field and/or an approval selectable input. The email may be transmitted to a reviewer email account of the reviewer. A review response may be received, via the email review interface, from the reviewer email account. The review response may indicate (i) feedback, indicating one or more suggestions associated with the proposed email content, submitted via the feedback entry field, and/or (ii) an approval indicator, indicating approval of the proposed email content, submitted via the approval selectable input.

Abstract: One or more computing devices, systems, and/or methods for future event recommendation are provided. For example, messages of a user account of a user are parsed to identify messages corresponding to events attended by the user. Event features are extracted from the messages, where an event feature is descriptive of an aspect of an event. An event database of future events is queried using the event features to identify future events having one or more of the event features. A description of the future events is constructed and provided to the user.

Abstract: In an aspect, fantasy sports data is analyzed to generate and/or manage the delivery of and user experience of fantasy sports games and contests, including timing and payout structure(s) for short-term fantasy contests, such as daily, weekly, etc. fantasy sports contests, that motivate and appeal to contestants and is/are reasonably structured and concisely represented. In yet another aspect, a daily fantasy contest system is provided to automatically adjust to user demand without overshooting profitable levels and offer a variety of different contests, as well as offer contests with guaranteed and non-guaranteed payouts.

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 messaging framework that automatically applies a multi-factor analysis technique to incoming and received messages in order to properly identify a message's type and category, which dictates the manner in which the message is displayed within a recipient's inbox. The disclosed framework operates on two levels: i) it determines whether a message is from a human or machine sender (H/M classification), and ii) it determines the messages category (MAGMA categorization).

Abstract: Devices often receive content items to be saved for later presentation to a user. In some instances, the content of the message is analyzed to retrieve supplemental information from external data sources, such as a map to a location discussed in a message. However, such supplementing often fails to reflect the personal context of the content item to the user, who may not easily recall the associated personal context when the content item is later presented. Instead, for a content item to be saved, a device may evaluate personal data sources to identify the personal context of the content item to the user, and add personal context annotations to a content item record of the saved content item. Later, during a presentation of the content item to the user, the personal context annotations may be included as a reflection of the personal context of the content item to the user.

Abstract: A method of generating congruous metadata is provided. The method includes receiving a similarity measure between at least two multimedia objects. Each multimedia object has associated metadata. If the at least two multimedia objects are similar based on the similarity measure and a similarity threshold, the associated metadata of each of the multimedia objects are compared. Then, based on the comparison of the associated metadata of each of the at least two multimedia objects, the method further includes generating congruous metadata. Metadata may be tags, for example.

Abstract: The present teaching relates to method, system, medium, and implementations for machine learning. Upon receiving input data associated with a time series, hidden representations associated with the time series in a feature space are obtained and used to generate a query vector in a query space. Such generated query vector is then used to query relevant historic information related to the time series. The query vector and the relevant historic information are aggregated to generate at least one queried vector, which is aggregated with the hidden representations to generate enriched hidden representations that enhance the expressiveness of the hidden representations.

Abstract: Shaded bid values may be determined and/or submitted to one or more auction modules for participation in auctions. Auction information including at least one of impression indications associated with the auctions, sets of features associated with the auctions, the shaded bid values associated with the auctions, etc. may be stored in a database. A machine learning model may be trained using the auction information to generate a first machine learning model with feature parameters associated with features. A bid request, indicative of a second set of features, may be received. The first machine learning model may be used to determine win probabilities and/or expected bid surpluses associated with multiple shaded bid values based upon one or more feature parameters, of the feature parameters, associated with the second set of features. A shaded bid value for submission may be determined based upon the win probabilities and/or the expected bid surpluses.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in electronic messaging, and other, systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically generating data extraction rules, which can then be used to automatically extract data from electronic messages.

Abstract: One or more computing devices, systems, and/or methods for content recommendations using historical future data are provided. A model serving delay time is computed as an average of training delays of events. A historical data time interval is determined based upon the model serving delay time. A model is trained for predicting user content preferences using historic user distribution data and historic content distribution data associated with the historic data time interval. The model is utilized to generate and provide content recommendations to users.

Abstract: The disclosed systems and methods provide a framework for a proactive prediction of the toxic propensity of an article. Prior to the publication and/or reception of comments to online content, the disclosed framework determines the toxic propensity of the content's context and/or specific words, sentences, sentiments, tone or other messages receivable from consumption of the content. Thus, disclosed framework performs proactive forecasting of the content's toxicity propensity”, which quantifies how likely the content is prone to incur or attract toxic comments. The framework can function and/or be configured to operate in a manner that can perform specifically adherent moderation actions that correspond to the content and control how the content can be interacted with, based on the toxic propensity determination, prior to the content's publication in an effort to thwart, prevent or stop toxic environments surrounding or stemming from the content from coming into existence.

Abstract: The present teaching relates to method, system, medium, and implementations for machine learning. Machine learning is performed based on training data via a dual loop learning process that includes a first loop for data decoding learning and a second loop for label decoding learning. In the first loop, first parameters associated with decoding are updated to generate updated first parameters based on a first label, estimated via the decoding using the first parameters, and a second label, predicted via the label decoding using second parameters. In the second loop, the second parameters associated with the label decoding are updated to generate updated second parameters based on a third label, obtained via the decoding using the updated first parameters, and a ground truth label.

Abstract: The present disclosure relates to systems and methods customizing electronic communications. A future event associated with a first user may be determined, and a second user that is associated with the first user may be identified. A plurality of communications involving the first user and the second user may be analyzed. A selection rule may be applied based on the analyzed plurality of communications, the selection rule identifying content from the database. Content from the database may be selected based on the application of the selection rule. An electronic message may be provided to the first user identifying the future event, and the selected content may be provided to the first user.

Abstract: Techniques for electronic document content bookmarking are disclosed. In one embodiment, a method is disclosed comprising receiving user input indicating selection of a portion of the electronic document, receiving a request to bookmark the selected portion of the electronic document, generating a bookmark card for the selected portion of the electronic document, the bookmark card comprising information identifying the electronic document, the selected portion of the electronic document as bookmarked content and the at least one user-defined information item, receiving, via the computing device, a bookmark view request via the GUI, and causing display of the bookmark view via the GUI in response to the bookmark view request, the bookmark view comprising an entry corresponding to the generated bookmark card and providing the bookmarked content from the generated bookmark card, the bookmark view providing a number of actions selectable by the user in connection with the entry from the bookmark view.

Abstract: Systems and methods are for identifying online advertisements to display to a user based on historical user data collected across the user's use of a plurality of Internet devices. One method includes receiving, over a network, a request for an advertisement to display at a first device of the user, the request including a unique identifier stored on the user's first device; accessing, in a database, a demographic or browsing history information generated from the user's use of a second device, the demographic or browsing history information being stored in the database in relation to the unique identifier; and identifying, based on the demographic or browsing history information, an advertisement to display at the user's first device. The demographic or browsing history information is synchronized based on the unique identifier being stored on the user's first device and the user's second device.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving a set of messages; filtering the set of messages to identify a set of newsletters in response to a selection of a newsletter control within a messaging application; rendering a newsletter view within the messaging application, the newsletter view displaying a plurality of tiles corresponding to the set of newsletters; receiving a section of a given tile in the plurality of tiles from a user; and rendering a newsletter reader view, the newsletter reader view including a subject and body of a selected newsletter corresponding to the given tile.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for privacy-aware machine learning using an improved data encoding that withholds more information. The disclosed systems and methods encode a corpus of data and encode each query used in searching and generating query results from the corpus of encoded data.

Abstract: One or more computing devices, systems, and/or methods for evaluating email activity and/or controlling, based upon the email activity, transmission of instructions associated with quality are provided. A first email, transmitted by an email account associated with an entity to a plurality of email accounts, may be identified. First activity associated with the first email may be detected. A first set of activity information associated with the first activity may be stored in an entity profile associated with the entity. The entity profile may comprise a plurality of sets of activity information associated with a plurality of emails transmitted by one or more email accounts associated with the entity. A quality score corresponding to the first entity may be generated based upon the entity profile. A notification may be generated based upon the quality score. The notification may be transmitted to the first client device.

Abstract: Systems and methods are disclosed for protecting consumer privacy in an online advertising environment. A request may be received from a browser for a webpage along with a unique browser identifier. The browser may be provided a first portion of the webpage that is locally available. The unique browser identifier may be provided to at least one advertising entity, wherein the advertising entity determines an advertisement based, at least in part, on the unique browser identifier. The advertisement may be received from the advertising entity, and provided to the browser as a second portion of the webpage.

Abstract: One or more techniques and/or systems for sending push notifications of content items to client devices are provided herein. For example, an input received from a user can be expanded to obtain an expanded user interest. Content items from a content source can be filtered based upon the expanded user interest to obtain a set of filtered content items. A push notification can be constructed to comprise one or more of the filtered content items from the set of filtered content items. The push notification can be sent to a client device of the user for display as a device alert notification. In an example, the filtered content items, within the push notification, may be ranked based upon a ranking metric.

Abstract: The present teaching relates to communication related to predictions. A communication chain is created with multiple chain units, each operating independently to provide prediction services related to a prompt with embedded information therein associated with predictions for the prompt to enable prediction services. A request is received for a requested operation related to a query prompt on one of prediction solicitation, prediction entry, verification entry, and prediction access. If a chain unit for the query prompt, the request is directed to the chain unit to perform the requested operation. If not, a new chain unit is created for the query prompt and the request is forwarded to the new chain unit to carry out the requested operation.

Abstract: An information processing device according to the present application includes a control unit. The control unit acquires, from an authentication server, a generation request of a key pair for FIDO authentication transmitted from a user terminal including an authenticator for the FIDO authentication to the authentication server, generates a generation instruction for causing the authenticator to generate the key pair based on the generation request, and notifies the authenticator of the generation instruction via the authentication server.

Abstract: Systems, apparatuses, and methods are provided for determining a bid value for placing an advertisement onto advertising space available through an electronic marketplace. A method is used for calculating the option value of maintaining the advertisement in the advertising space during one or more periods of time. The option value may be based on expected profits and the estimated future value of maintaining the advertisement. The option value may then be used to calculate the bid price for placing the advertisement.

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 shared over a network and identifying information in them referencing entities based on a determined context of the messages. Once the entity information is identified, the disclosed framework segregates them based on the context, and then presents them in contextual views as content cards within or as part of generated, content-specific interfaces. The disclosed framework enables users to continue messaging while pivoting between different views of the generated interfaces, which enables the retrieval of additional information related to the entity information included on the content cards.

Abstract: One or more computing devices, systems, and/or methods for content item selection for goal achievement are provided herein. A goal of a user is identified. A model is utilized to evaluate the goal, user information, and a set of content items to generate predictions for the content items of how likely each content item will be a causation factor of the user making progress towards the goal in response to the user being provided with each content item. A target content item is selected from the set of content items based upon the target content item having a predicted likelihood of being the causation factor above a threshold. The target content item is provided through a registered media channel accessible through a device of the user.

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 performing automatic detection of surfaces in video frames resulting in the creation of a seamless in-video ad experience for viewing users. The disclosed framework operates by leveraging available surfaces in videos to show advertisements in compliance with publisher protection, compliance and policy in a fully automatic, end-to-end solution. The disclosed framework evidences a streamlined, automatic and computationally efficient process(es) that modifies digital content at the surface level within the frames of the content in compliance with the digital rights of the owners of the content being merged via the disclosed augmentation.

Abstract: In an example, a first content item is provided for display on a first client device. A first feedback signal is received. The first feedback signal is indicative of one or more first user reactions to display of the first content item on the first client device. The first content item is provided for display on a second client device. A second feedback signal is received. A first popularity score associated with the first content item is determined based upon the first feedback signal and the second feedback signal. A first popularity label is assigned to the first content item based upon the first popularity score. An enhanced content presentation interface including the first content item is generated based upon the first popularity label assigned to the first content item. The enhanced content presentation interface including the first content item is presented on a third client device.

Abstract: Systems, methods, and computer-readable media are disclosed for augmenting real-time bidding data with proprietary data. One method includes: receiving, at a server over an electronic communications network from a real-time impression bidder, a bid request or a request to augment a bid request with proprietary data; accessing, by the server from an internal database, proprietary data of a data augmenting service based on a user identifier of the bid request; determining, by the server, proprietary data to include in an augmented bid request based on at least one of the received bid request and the user identifier; formatting, by the server, the augmented bid request into a standardized, augmented bid request; and transmitting, by the server over the electronic communications network, the standardized, augmented bid request to the real-time impression bidder.

Abstract: The present teaching generally relates to identifying data bucket overlap with online experiments. In a non-limiting embodiment, first data representing a first set of identifiers associated with a first data bucket of a first online experiment may be obtained. Second data representing a second set of identifiers associated with a second data bucket of the first online experiment may be obtained. Based on the first data and the second data, a first number of identifiers that are associated with the first data bucket and the second data bucket may be determined. In response to determining that the first number exceeds a threshold, a data flag indicating that results associated with the first online experiment are inconsistent may be generated.

Abstract: One or more computing devices, systems, and/or methods for debiasing training data based upon information seeking behaviors are provided. Users associated with a set of training data are segmented into information seeking behavior groups corresponding to varying degrees of information seeking behaviors of the users. Biases for the information seeking behavior groups may be estimated based upon information seeking behaviors of users within the information seeking behavior groups. The training set of data is debiased using the biases to generate a debiased training set of data. A model may be trained to perform a task based upon the debiased training set of data.

Abstract: One or more computing devices, systems, and/or methods for providing a system with access to resources associated with a user account using a disposable email address (DEA) are provided. A request to provide a system with access to a first set of resources may be received. The first set of resources may be associated with a first email account associated with a first email address. A first DEA associated with the first email account may be generated. The first DEA may be transmitted to the system. A first set of modified emails may be generated based upon a first set of emails of the first email account. A first modified email of the first set of modified emails may comprise an indication of the first DEA. Access to the first set of modified emails may be provided to the system. The first DEA may be deactivated.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An arrangement of particles corresponding to the first entities and the second entities may be generated. Charges associated with the particles may be determined based upon the first network profile. The particles may be rearranged to a second arrangement of particles based upon the charges. One or more clusters of particles in the second arrangement of particles may be identified. One or more coalition networks associated with fraudulent activity may be identified based upon the one or more clusters of particles.

Abstract: Systems and methods are disclosed for processing electronic content, such as text, videos, and images. According to certain embodiments, user interactions with electronic content may be tracked over a plurality of modalities, such as web pages, email, mobile applications, and social media. The tracked user interactions may include copy/paste events, explicit user highlighting, social sharing, and user voting. Key passages of electronic content may be identified based on the tracked user interactions and ranked against one another. Ranking of passages may be based, for example, on a raw or normalized score for the identified key passages. Alternatively, the ranking of a passage may be based on a ratio of user interactions with the passage to total views of the electronic text containing the passage. One or more of the identified key passages (e.g., the highest ranked passages) may be published to one or more applications.

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.

Abstract: The present teaching generally relates to detecting providing pre-validated data buckets for online experiments. In a non-limiting embodiment, user activity data representing user activity for a first plurality of user identifiers may be obtained. A first set of values and a second values, representing first and second user engagement parameters, respectively, may be generated for each user identifier based on the user activity data. A first ranking and a second ranking may be determined for the first and second sets, respectively. A first exclusion range including a first number of values to be removed from the first and second sets may be determined. A homogenous value set may be generated by removing the first number of values from the first and second sets, where each value from the homogenous value set corresponds to a user identifier available to be placed in a data bucket for an online experiment.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving a request from a client device to join a room, the room associate with a plurality of other client devices streaming multimedia content; adding the client device to the room in response to the request; computing a synchronization time for the client based on time values associated with the client device and the other client devices; and transmitting the synchronization time to the client device, causing the client device to adjust playback of the multimedia content based on the synchronization time.

Abstract: A method for presenting personalized content to a user includes receiving user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network, extracting one or more data tags from the received user data, associated at least one data tag with a message, finding information in the network that corresponds to the associated data tag, generating a notification for the user, the notification including the found information in the network, and outputting the generated notification to a user interface of a device of the user.

Abstract: Systems and methods are disclosed for determining an estimate of available user impressions on a network, comprising receiving a request for an estimate of available user impressions for viewing one or more media elements on a network, the request comprising one or more viewer demographic group limitations. A request may be received to include deterministic users and probabilistic users in the estimate of available user impressions. A number of deterministic users may be determined based on query results from a deterministic user data set. A number of probabilistic users may be determined based on query results from a probabilistic user data set, and the estimate of available user impressions may be determined based on the number of deterministic users and the number of probabilistic users.

Abstract: Systems and methods are disclosed for online distribution of content by receiving, from a user's mobile device, a request for a web page hosted by a publisher's CMS; applying a rules engine to analyze a received URL according to a set of rules identifying one or more website types and/or referrers; if the received URL satisfies the rules engine, redirecting the received request to a syndication server system hosted within a global CDN; adding a URL of the web page to a missing content queue and redirecting the request to the publisher's CMS if the CDN syndication server does not contain a suitable mobile-formatted version of the web page; and delivering a package of binary compressed content of the web page to a stub page cached at the user's mobile device by the CDN syndication server, using recirculation and monetization components chosen by the publisher.

Abstract: Disclosed are apparatuses, systems, and methods for providing a programmatic control channel for granting or denying access to user data. In one embodiment, a method is disclosed comprising receiving an input stream of data including user data and a first regulatory control channel (RCC) data structure; building a final RCC data structure based on the first RCC data structure and a stored RCC data structure; retrieving a regulatory query context (RQC) from a data requestor; applying one or more Boolean operators to the final RCC data structure and the RQC to obtain an evaluation result; and executing the downstream processing if the evaluation result comprises a passing evaluation result.

Abstract: Systems and methods are disclosed for vertical integration of a multi-dimensional machine learning algorithm with a digital content management system. A variety of machine learning algorithms are implemented to aid publishers in the discovery of digital content. In contrast to prior methods, which perform retroactive assessments on digital content performance, the instant methods train machine learning algorithms to predict future performance of digital content items. As digital content becomes available to publishers, machine learning algorithms analyze the digital content items in order to present editorial actions publishers should take via a digital content management dashboard.

Abstract: Systems and methods are disclosed for determining an engagement level of a user interacting with an electronic program, comprising receiving or determining a decision node tree, each node in the decision node tree corresponding to a user decision point in the electronic program, determining a number of levels in the decision node tree, determining a user traversed count comprising a number of levels the user has traversed in the decision node tree, and determining the engagement level of the user with the electronic program based upon the user traversed count and the number of levels in the decision node tree.

Abstract: A process includes receiving, from a user identity, instructions for output characteristics including one or more of audio characteristics for rendering or capturing audio data or visual characteristics for rendering or capturing visual data. The process also includes determining, in response to the received instructions, output controls which effect the one or more of audio characteristics or visual characteristics, and associating the output controls with an online identity or resource. The process further includes storing the associated output controls and detecting an interaction with the online identity or resource. Moreover, the process includes accessing, in response to the detection of the interaction, the stored output controls, and enabling an effect, based on the output controls, of one or more of the audio characteristics or the visual characteristics with respect to interaction with the online identity or resource.

Abstract: A method of adaptive online user profiles includes displaying a website for a particular topic of interest based on a user request, receiving a request from the user to display user profile data, obtaining the user profile data, the user profile data including topic-area-specific user-specific profile information for multiple topic areas, comparing a topic area of the displayed website to a topic area for each topic-area-specific user-specific profile information, and displaying the user profile data such that the topic-area-specific user-specific profile information most closely matching the topic area of the displayed website is displayed most prominently.

Abstract: In an example, a system, a method and/or an apparatus are provided. A first power distribution component and a second power distribution component are connected to a busway system including a busway. Whether first electrical power of the first power distribution component and second electrical power of the second power distribution component meet one or more conditions is determined. In response to a condition of the one or more conditions not being met, supply of electrical power from the second power distribution component to the busway system is inhibited.

Abstract: An information processing device according to the present application includes a control unit. The control unit acquires, from an authentication server in a state in which a first authenticator used for FIDO authentication and a second authenticator used for recovery for the FIDO authentication cooperate with each other, a recovery execution request that is transmitted from a user terminal including the second authenticator to the authentication server, and if the recovery execution request meets a predetermined authentication condition that is set in advance, notifies the user terminal including the second authenticator of a recovery execution permission.