Abstract: An end-user computing device may utilize an imaging device to capture input from an electronic tag of a physical asset. The end-user computing device may generate supplemental digital data associated with the input. The end-user computing device may transmit the input and the supplemental digital data to an authentication and digital assets server. The authentication and digital assets server may authenticate the physical asset and transmit the authentication results to the end-user computing device, which may display the authentication results. If the authentication of the physical asset is successful, the authentication and digital assets server may select one or more digital assets and transmit the one or more digital assets to the end-user computing device. The end-user computing device may display the one or more digital assets.

Abstract: The present disclosure involves systems, software, and computer implemented methods for automatically providing linking partner loyalty rewards accounts using authorized user and primary user information associated with an account. One example method includes authenticating a user at a partner system, and receiving from the user information associated with an account. The information associated with user's account is communicated to a financial institution system via an API where the user can then be verified as an authorized user on an account. The financial institution system then provides the partner system with information associated with the primary user of the account, and the partner system can link a loyalty account of the primary user with the loyalty account of the authenticated user.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: training of a machine learning model for predicting a rating in certain content rating systems based on training data. The machine learning model includes a plurality of maturity classifiers corresponding to individual features of the previously rated contents. An input content is obtained and features of the input content are extracted by use of respective content analysis tools and subsequently classified by the maturity classifiers of the machine learning model.

Abstract: A system includes a content provider serving a first user webpage that displays an external posting link associated with a computer store and a second user webpage of a social networking service. The computer store contains posts each associated with a post select control. A computer server at the content provider is coupled to the computer store and for each of the posts is programmed to receive from a web browser of a computer user a signal indicating activation of the post select control of a selected one of the posts displayed by the first user webpage, automatically link the selected one of the posts to the external posting link, receive from the web browser of the computer user a signal indicating activation of the external posting link, and automatically issue the selected one of the posts to the second user webpage for posting thereon.

Abstract: A method for targeted advertisement includes transmitting a pre-filter to the user device, responsive to contextual information from a user device, to determine, using a processor, one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. The method also includes receiving one or more inferences determined by the pre-filter from the user device and transmitting one or more targeted advertisements to the user device based on one or more inferences.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and utilizing a touchpoint attribution attention neural network to identify and measure performance of touchpoints in digital content campaigns. For example, a deep learning attribution system trains a touchpoint attribution attention neural network using touchpoint sequences, which include user interactions with content via one or more digital media channels. In one or more embodiments, the deep learning attribution system utilizes the trained touchpoint attribution attention neural network to determine touchpoint attributions of touchpoints in a target touchpoint sequence. In addition, the deep learning attribution system can utilize the trained touchpoint attribution attention neural network to generate conversion predictions for target touchpoint sequences and to provide targeted digital content over specific digital media channels to client devices of individual users.

Abstract: An automated teller machine (“ATM”) includes a network interface, a display device, and an input/output device. The ATM further includes a processing circuit including a processor and a memory, the memory structured to store instructions that are executable by the processor. The instructions cause the processing circuit to receive authentication information from the customer and authenticate the customer using the authentication information, retrieve a real-time rewards balance of a rewards account associated with the customer, generate a banner for the customer based on the real-time rewards balance, and display the banner to the customer. The banner is selectable and activates a rewards functionality of the ATM to cause the ATM to display a screen including at least one of the real-time rewards balance or an option for the customer to redeem the rewards balance held by the customer when the banner is selected.

Abstract: The present disclosure relates to a display device for transmitting advertisement content and a method for controlling the display device. According to an embodiment of the present disclosure, the display device may include a communication unit configured to transmit and receive data, a display to display content, a memory storing one or more instructions, and at least one processor configured to execute the one or more instructions stored in the memory.

Abstract: A non-transitory computer readable medium storing a set of computer executable instructions for running on a processor that cause the processor to: receive a video link to a video from a third party system. The video has an advertisement with one or more actions. At least one question related to the one or more actions of the advertisement and at least one correct answer to the question and at least one incorrect answer to the question is stored. The question is displayed on a donor system and the donor system is directed to the video via the video link. Then, at least one correct answer and at least one incorrect answer are displayed on the donor system.

Abstract: A data processing system collects messages to create user profiles for users of user devices. The messages are collected from various systems and include data regarding user events on user devices in order to create user profiles. The user profiles are stored. In response to a request for information corresponding to a user device, a user profile is identified using data from the request and information from the profile is provided to the requester. A method and system is utilized to select and provide targeted advertisements.

Abstract: One variation of a method for aggregating advertisement interaction data includes: receiving a ping from a visual element loaded onto a mobile device, the ping containing: a timestamp; and a value representing a proportion of the visual element visible in a viewport at the mobile device; in response to the value exceeding a threshold value, grouping the ping with a group of pings in a ping feed, the group of pings containing a unique identifier associated with the mobile device; in response to the value falling below the threshold value, concluding an advertisement view session containing the group of pings; calculating a time spent value for visibility of advertisement content in the visual element within the advertisement view session based on timestamps of pings in the group of pings; outputting an advertisement view session packet containing the unique identifier and the time spent value to a database.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium for delivering content. A method includes: identifying a webview; providing a script for execution when the webview is initiated, the script causing a device associated with the webview to retrieve a unique identifier associated with the device, encode the unique identifier, construct a URL that includes an advertising system domain and the encoded unique identifier, and pass the encoded unique identifier to the advertising system; passing a cookie for the advertising domain back to the webview for inclusion in the cookie space of the webview; storing information related to interactions of a user of the device when accessing content through different browsers or applications so as to unify the cookie spaces of the different browsers; identifying a request for content as being associated with the device; and using the information to determine content for delivery.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium for providing content.

Abstract: A method for auditing an advertisement impression in which a first advertisement was presented in conjunction with first media content is disclosed. The method generally comprises transmitting to a plurality of second computing devices a plurality of randomly generated first cryptographic proofs; receiving, a first message from a second computing device indicating that the first advertisement was presented in conjunction with the first media content; and evaluating the first targeting model for the first advertisement based on the at least one media content classifier.

Abstract: Provided are methods for optimizing presentation of additional items on web page based on item already presented on the web page. A method can include identifying first set of templates. The method can further include, for each of first plurality of requests, selecting first template, selecting first item, transmitting the first template to first client computer, and receiving interaction data from the first client computer specifying one or more interactions with the first template. The method can further include analyzing the interaction data to determine performance metric for each of the first set of templates and replacing at least one or more of the first set of templates and the first item. The method can further include, for each of second plurality of requests, selecting second template, selecting second item, and transmitting the second template to the second client computer. Presentation of additional items can be optimized remotely and automatically.

Abstract: An online system communicates a lead generation message to a client device associated with a user. The lead generation message includes a selectable option authorizing a third-party entity to open a channel of communication with the user. If the online system receives from the client device an interaction with the selectable option, the online system sends a notification to the third-party entity indicating that the user associated with the client device interacted with the lead generation content item. The third-party entity may then send a request to the online system to send a message to the user via a messaging system controlled by the online system. The online system thus enables the third-party entity to communicate with the user via the messaging system. The online system then uses information about the communication to train a model to optimize the selection of lead generation messages to users.

Abstract: Concepts and technologies are disclosed herein for providing augmented reality shopping displays. A processor can execute a shopping service. The processor can receive a request for display data. The processor can analyze shopping data to identify data sources, the shopping data can include user data associated with the requestor, and the data sources can include an offer source. The processor can obtain collected data from the data sources identified, the collected data including an offer. The processor can generate display data based upon the collected data and the shopping data, and provide the display data to a user device. The display data can identify the offer.

Abstract: A method for targeted advertisement includes transmitting a pre-filter to the user device, responsive to contextual information from a user device, to determine, using a processor, one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. The method also includes receiving one or more inferences determined by the pre-filter from the user device and transmitting one or more targeted advertisements to the user device based on one or more inferences.

Abstract: A digital content communications system for providing customer or product support using predictive analytics is provided. The system may include an analytics subsystem that communicates with one or more servers and one or more data stores in a network. The analytics subsystem may include a data access interface to receive a first set of data associated with a plurality of users or user accounts from a first data source, and to receive a second set of data associated with a plurality of users or user accounts from a second data source. The analytics subsystem may include processor to: prepare the first set of data; train a model using the first set of prepared data, wherein the model is at least one of a cancel-defer-go live model, a regular-extended warranty model, or a phase duration forecasting model.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium for providing content.