Systems and method for advertisement replacement are disclosed. A server may receive a server feed, generate a plurality of server fingerprints for a respective plurality of segments of the server feed, receive a synchronization message comprising a client fingerprint and a client time, match the client fingerprint with one of the plurality of server fingerprints, and send a synchronization response indicative of a server time associated with the one of the plurality of server fingerprints.

A computer implemented system including a primary user device operable to access and execute computer instruction code that, when executed, causes generation and sending of notifications to one or more secondary user devices, a database of previously collected data in respect of users of the secondary user devices where the one or more secondary user devices operated by users other than users of primary user devices, and a matching engine, wherein generated notifications are matched, by the matching engine, to the user of a secondary user device according to analysis of the previously collected data regarding the user of the secondary user device such that notifications sent to the secondary user device are relevant to the user of the secondary user device.

Context data pertaining to a target audience to which a product is to be demonstrated can be determined. The target audience can be classified based on the context data. Classifying the target audience can include selecting an audience type out of a predefined plurality of audience types. Customization data can be generated based on the selected audience type. The customization data can be configured to customize demonstration of the product to the target audience.

A method and a system for generating a digital content recommendation. The method comprises receiving a request for the digital content recommendation. Based on the request, a first content item and a second content item responsive to the request are selected, and a relevancy parameter and a completion parameter for each of the first content item and the second content item are determined. Based on the relevancy parameter and the completion parameter, the first content item and the second content item are ranked, and a digital content recommendation is generated based on the ranking of the first content item and the second content item.

Server side web based ad stitching and user specific optimization are disclosed. In various embodiments, a request for a page is received via a communication interface. A processor is used to provide an optimized version of the page at least in part by determining dynamically an optimized content element for the page based at least in part on a user attribute associated with the request and content performance data generated based at least in part on testing of alternative versions of the page with respect to other users having the user attribute.

It is an object of the present disclosure to provide more appropriate advertisement information for each of a plurality of users sharing a specific space. The advertisement delivery system provides advertisement information to each user existing in a specific space shared by a plurality of users having a specific purpose. In this advertisement delivery system, an information processing device generates advertisement information for each user based on an attribute of a specific space associated with a specific purpose and an attribute of each user associated with the specific purpose. The advertisement distribution device arranged in a specific space receives advertisement information for each user from the information processing device and transmits the received advertisement information to the user terminal associated with the user to be provided.

A method, system and product to be implemented at a server, including receiving from a user device a request associated with obtaining a web resource; handling the request, wherein, based on the handling, the web resource is obtained and provided to the user device; and transmitting an indication of the request to a predetermined port of the user device. Another method, system and product to be implemented at a user device, includes transmitting from a software product a plurality of requests of web resources; receiving by a software agent a plurality of indications of the plurality of requests via a predetermined port of the user device; and performing by the software agent an analysis of the plurality of requests of web resources, thereby determining for a user of the user device one or more user parameters associated with a personalized profile of the user.

Systems, methods, and storage media for training a machine learning model are disclosed. Exemplary implementations may select a set of training images for a machine learning model, extract object features from each training image to generate an object tensor for each training image, extract stylistic features from each training image to generate a stylistic feature tensor for each training image, determine an engagement metric for each training image, and train a neural network comprising a plurality of nodes arranged in a plurality of sequential layers.

A real-time messaging platform allows advertiser accounts to pay to insert candidate messages into the message streams requested by account holders. To accommodate multiple advertisers, the messaging platform controls an auction process that determines which candidate messages are selected for inclusion in a requested account holder's message stream. Selection is based on a bid for the candidate message, the message stream that is requested, and a variety of other factors that vary depending upon the implementation. The process for selection of candidate messages generally includes the following steps, though any given step may be omitted or combined into another step in a different implementation: targeting, filtering, prediction, ranking, and selection.

Disclosed herein are systems and techniques for using a content delivery network to perform various functions within a digital advertising ecosystem, in ways that yield technological benefits such as improved security, efficiency, and speed (for example, reduction in publisher load times). As one specific example, a content delivery network can be used for the creation of electronic tokens for user identity protection between demand side platforms, supply side platforms, content creators (for example, advertisers), and publishers.