Abstract: Systems and methods are provided for building a user model. The system includes a processor and a non-transitory storage medium accessible to the processor. The processor is configured to obtain user data from a database, where the user data include user behavior for a plurality of apps installed on one or more user terminals. The processor selects at least one rating parameters using the user data, where the at least one rating parameters indicates a rating of relevant app usage. The system builds the user model based on a rating matrix comprising the at least one rating parameters.

Abstract: One or more computing devices, systems, and/or methods for generating and providing recommendations of products are provided. For example, content is extracted from a message sent to a user. The content is evaluated to identify a product identifier corresponding to a product title of a product. If the product identifier is a truncated version of the product title, then a database of product titles and frequencies of occurrence of the product titles is used to complete the product title. A model is used to infer a product category for the product title. Matching scores are assigned to products within a product category based upon weighted attributes. A recommendation is provided to the user for a product having a matching score greater than a matching threshold.

Abstract: Systems and methods are disclosed for accessing first party Internet cookies. One method includes receiving, over an electronic network, a request for an electronic advertisement or an Internet cookie, wherein the request is received in response to a user requesting content from a subdomain of an advertising entity domain; and sending, to a device associated with the user, an Internet cookie having the subdomain of the advertising entity domain. The method further includes receiving, from the device associated with the user, a request for content from the subdomain of the advertising entity domain, wherein the request is received in response to the user requesting content from a domain of an online publisher; and accessing data stored in the Internet cookie sent to the device associated with the user.

Abstract: Systems and methods are disclosed for providing non-intrusive advertising content to users. The method includes receiving user input reflecting user content preferences for receiving desired content related to specific topics in lieu of standard advertising content. The method may further include receiving a web request for electronic and then retrieving desired content based on user content preferences. Thereafter, the method may include choosing non-intrusive advertising content and generating one or more datagrams including the desired content and the non-intrusive advertising content. The requested electronic content along with generated datagrams content may then be provided for displaying.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, an email addressed to an email address associated with an email account is received. A request to display the email is received from a client device associated with the email account. In response to receiving the request to display the email, the email and a social interaction interface are displayed via an email interface on the client device. The social interaction interface includes one or more social interaction features. The one or more social interaction features include a commenting feature, a feedback feature and/or a chat feature.

Abstract: Systems and methods are disclosed for managing online advertising data secure sharing. One method includes receiving, at a server, a request for proprietary data from a data consumer, the request including a data consumer identifier; retrieving, from a database of proprietary data, proprietary data based on the request; determining, by the server, whether the retrieved proprietary data is at least one of: designated to be processed and designated to have privileges set; processing, by the server, the proprietary data when the server determines the proprietary data is designated to be processed; setting one or more privileges to the proprietary data using the certificate associated with the data consumer identifier when the server determines the proprietary data is designated to have privileges set; encrypting the proprietary data using the certificate associated with the data consumer identifier; and transmitting the encrypted proprietary data to the data consumer.

Abstract: Methods and an apparatus are provided for associating video content to keywords present on the webpage of a user computer. Furthermore, the method includes creating a link on the webpage from the keyword which displays the video file when the link is activated. In addition, a system for video content association includes a video association controller configured to receive a request for video content association when a webpage is requested by a user computer and determine whether the webpage contains at least one keyword. Furthermore, the video association controller is configured to display a link on the webpage from at least one keyword to a video file.

Abstract: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with sparse vector representations associated with features of the plurality of sets of information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. A plurality of positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon one or more sparse vector representations, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the plurality of positive signal probabilities.

Abstract: Systems and method are disclosed for providing advertisements to users by determining the occurrence of user defined external triggering events comprising a moment. One method comprises defining a set of conditions or criteria that define a moment, collecting data associated with said set of conditions or criteria, evaluating whether the conditions or criteria are satisfied and whether the user defined moment has occurred, executing an advertisement campaign associated with said user defined moment, transmitting an advertisement associated with said user defined moment to a target user, and modifying said advertisement in accordance with changes in the data associated with the conditions or criteria.

Abstract: At times, it may be desirable to determine that a client system is, or to determine the number of client systems that are, presenting particular dynamic content when an auditable event occurs in the dynamic content. One manner of making the determination may include accessing presentation time information that indicates the time(s) at which one or more client systems present particular dynamic content and accessing event time information indicating the time(s) at which one or more auditable events occur in the dynamic particular content. Based on the presentation time information and the event time information, it may be possible to determine that a client system is, or to determine the number of client systems that are, presenting particular dynamic content when an auditable event occurs in the dynamic content.

Abstract: The disclosed systems and methods provide a novel framework that provides mechanisms for enabling message senders to dictate, control and/or create dynamic immersive content consumption experiences for recipients of their messages. The disclosed framework provides message senders with previously non-existent functionality to control the experience and environment within which their messages are consumed. Conventional systems provide recipients with capabilities to consume messages and/or supplemental content; however, these capabilities are driven and controlled by the hosting messaging platform and/or the third party entity that is availed opportunities to provide supplemental content. The disclosed framework prevents such experiences by providing capabilities to the message sender that involves control not only over the experience of the sender's messages but also control over the experience of the environment in which the messages are consumed by their recipients.

Abstract: A computer-implemented method for allocation-free control of online campaigns for distributing online content includes receiving a daily content distribution spending budget and one or more response functions, calculating one or more plant gain estimates based on the one or more response functions, calculating a marginal content distribution spending budget based on the daily content distribution spending budget, generating one or more control signals based on the calculated marginal budget and the calculated one or more plant gain estimates, generating a price control signal based on the generated one or more control signals, and calculating a bid for one or more impressions based on the price control signal.

Abstract: The disclosed systems and methods provide a cloud-based framework for the creation and/or enhancement of high quality media content for dissemination over a computerized network. The disclosed framework is configured to operate in accordance with at least one of a content creation, content enhancement and/or rendering template. Such templates can function as rules engines that call specific types of ML or AI algorithms or routines that modify the input data according to the type of template being used. Thus, the disclosed framework can be utilized for creating new high-quality media, improving upon existing media and/or reformatting media for rendering upon dissemination.

Abstract: Systems and methods are disclosed for identifying malicious traffic associated with a website.

Abstract: A novel framework optimizes SQL queries that are generated from a templated virtual sematic layer. The framework introduces the use of a virtual semantic layer into database management systems' operations, whereby templated SQL queries can be rewritten according to a determined and measured nesting, dimensional structure that produces an optimized search system. This enables templated SQL fragments to be translated for query optimization, thereby reducing the drain on a database's resources and minimizing a query's impact on the database's performance.

Abstract: One or more computing devices, systems, and/or methods for implementing a model for serving exploration traffic are provided. An amount of spend by a content provider to provide content items of the content provider through a content serving platform to client devices of users is determined. A number of exploration impressions of users viewing exploration content items of the content provider over a timespan is determined. A return on exploration impression metric is determined for the content provider based upon a ratio of the amount of spend to the number of exploration impressions. The return on exploration metric is used to rank available exploration content items of content providers for serving exploration traffic.

Abstract: One or more computing devices, systems, and/or methods for content cache invalidation using cache tags are provided. A first proxy hop may receive a request from a client device for a content object originating from a content source. A cache tagging script is executed to add a query parameter to the request to create a modified request. The query parameter specifies a cache tag version for the content object. The modified request is transmitted through one or more subsequent proxy hops to the content source to retrieve the content object. The content object, tagged with a cache tag specifying the cache tag version, is cached as a cached content object within a cache. The cache tag is associated with an expiration timestamp after which the cached content object is designated to be invalid.

Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for machine learning (ML) classification of digital content for mobile communication devices, such as implemented in connection with one or more computing and/or communication networks and/or protocols.

Abstract: Disclosed herein is a statistical approach, a win share approach, used to assign a win share value to content items. User interaction with content items is tracked, and a win share value is assigned to content items in response to a “winning” action performed by a user. Win shares associated with content items are used to identify content items that are to be presented, and can further be used to identify an optimal presentation, e.g., layout, presentation frequency, etc., of content items that is to be presented.

Abstract: One or more computing devices, systems, and/or methods for determining whether requests for content are fraudulent are provided. A request for content may be received from a first device. A first user profile associated with the first device may be identified. The first user profile may comprise activity information associated with the first device, demographic information associated with the first device and/or interest information associated with the first device. A user profile database may be analyzed to identify a set of user profiles similar to the first user profile. A relevance score associated with the request for content may be generated based upon the resource, the set of user profiles and/or the first user profile. The relevance score may be compared with a threshold relevance to determine whether the request for content is fraudulent.