There is provided a computer implemented method for automated analysis or use of data, comprising the steps of: (a) storing in a memory store a structured, machine-readable representation of data that conforms to a machine-readable language; in which the data includes personal health or medical data; (b) automatically processing the structured representation of the data to analyse the personal health or medical data; in which the method includes the steps of (c) the machine-readable language representing a question in a memory in the structured, machine-readable representation of data; and (d) automatically generating a response to the question, using the following steps: (i) matching the question with the structured, machine-readable representations of data previously stored in the memory store; (ii) fetching and executing one or more computation units, wherein the computation units represent computational capabilities relevant to answering the question; (iii) fetching and execution of one or more reasoning passages.

Methods, apparatus, and computer program products are disclosed for providing an impression to a consumer based on consumer preferences for future promotions. The methods include accessing consumer preferences for future promotions that specify at least one promotion request relating to a provider or a promotion category, and one or more promotion qualities, analyzing a plurality of promotions to identify those that satisfy the consumer preferences, and providing an impression to the consumer indicating the availability of the identified promotions. In embodiments, the methods can be used to identify promotions that are combinable with additional promotions offered by the same provider. Corresponding apparatus and computer program products are also provided.

Disclosed are systems and methods that leverage machine learning techniques to provide information about items that are on display during a live event. A 3D volumetric capture system is used to construct a 3D representation of the event in real time. For example, depth and color data from multiple perspectives may be used to construct a 3D mesh of colored polygons that represent the scene. Users may view the live event with a 3D enabled virtual reality or augmented reality headset. Background subtraction may be used to isolate items of interest. In some configurations a machine learning model may process the 3D mesh to generate a textual description of items in the scene. The textual description may then be used to search for more information about a particular item. Additionally, or alternatively, the machine learning model may directly predict one or more items in the scene.

A computer implemented method for the automated analysis or use of data, comprising: storing in a non-transitory storage medium a structured, machine-readable representation of data that conforms to a machine-readable language that represents meaning. The data relates to a part of advertisements, news articles or other information items. The structured, machine-readable representation of data comprises semantic nodes and passages, and each semantic node represents an entity represented by an identifier; and each passage is a semantic combination of semantic nodes. Machine-readable meaning comes from the choice of semantic nodes and the way they are combined and ordered as passages; (b) representing information about a specific individual in the structured, machine-readable representation of data; (c) automatically processing the structured, machine-readable representation of data to identify advertisements relevant to the specific individual.

Opt-out systems and methods for tailored advertising are disclosed herein. An example method includes registering an endpoint with a service provider hosting an opt-out service that allows users to opt-out of tailored advertising from the endpoint, receiving a first request from a user including an email address, generating a hashed representation of the email address according to a hashing algorithm selected for the endpoint, transmitting a second request to the endpoint, the second request including the hashed representation of the email address, and receiving an acknowledgment that the endpoint has processed the second request. When the second request is processed the user does not receive the tailored advertising from the endpoint.

A method that includes receiving a manifest for playing a media item, where the manifest comprises segment locator information for a content break (e.g., pre-roll, mid-roll, or post-roll content break) in the media item, the segment locator information for enabling the player to request a set of content break segments, the segment locator information comprising: i) a set of SIDs or ii) SID template information that can be used by the player to generate the set of SIDs, and the content break having a duration. The method also includes, after receiving the manifest, sending a content break information request for content break information regarding the content break. The method also includes receiving a response to the content break information request and, based on information included in the response to the content break information request, determining whether to shorten (e.g. skip playing a portion or portions of) the originally-intended content break.

Embodiments provide a social networking platform offering various services, such as, facilitating aggregation and management of a user's interaction on one or more social networking platforms, offering enhanced control over the level of privacy associated with the flow of user data, offering tools to customize the user's exposure to advertisement-related content on the social networking platform(s), integrating features to control aspects of how data/content is presented to and visualized by the user, empowering the user to multicast direct messages to other users without the other users having to meet certain constraints, empowering the user to create and/or join a group based on messaging threads, and the like. One or more of these enhanced services/features are associated with a powerful framework of authentication/permission model for access control.

A dynamic digital advertising content system having a front end system and a back end system, and used to present product content to a user's computing device in the form of a digital circular. The back end system provides retailers and third party access to upload, and update, product content information for the digital circular, including videos and animations. The dynamic digital advertising content system can include integrations for third-parties such as digital coupon providers and loyalty program providers. The system permits users the ability to share with other users merchandise displayed in the digital circular and/or selected for a shopping list. Such shared content can be dynamically arranged for subsequent presentation on a computing device of the recipient. The digital circular is further customizable for individual retailers or retailer locations, as well as customizable based on detected histories and/or characteristics of the user receiving the digital circular.

There is provided a computer implemented method for automated analysis or use of data, comprising the steps of: (a) storing in a memory store a structured, machine-readable representation of data that conforms to a machine-readable language; in which the data includes personal health or medical data; (b) automatically processing the structured representation of the data to analyse the personal health or medical data; in which the method includes the steps of (c) the machine-readable language representing a question in a memory in the structured, machine-readable representation of data; and (d) automatically generating a response to the question, using the following steps: (i) matching the question with the structured, machine-readable representations of data previously stored in the memory store; (ii) fetching and executing one or more computation units, wherein the computation units represent computational capabilities relevant to answering the question; (iii) fetching and execution of one or more reasoning passages.

According to one embodiment, an electronic receipt server includes a communication interface, a storage device, and a processing circuit. The processing circuit is configured to receive advertisement setting information from a setter terminal via the communication interface, store the advertisement setting information in the storage device, store electronic receipt information in the storage device, and receive a request for an electronic receipt from a user terminal via the communication interface. The processing circuit identifies a company code associated with the requested electronic receipt, then acquires the advertisement setting information associated with the company code in the storage device and determines whether the advertisement setting information indicates company-specific advertisements are enabled for the company code. The processing circuit then acquires a company-specific advertisement when the advertisement information indicates company-specific advertisements are enabled for the company code and outputs the acquired company-specific advertisement with the electronic receipt to the user terminal.