Abstract: An omni-channel coupon system may link electronic coupons across several couponing channels by storing the electronic coupons in association with a user profile or loyalty account. A user may clip electronic coupons from several couponing channels, such as a mobile application, retail web page, social networking web page, email, short message service (SMS) message, a physical coupon, a manufacturer/third-party web page or other affiliated web page, a manufacturer/third-party application, etc. Each clipped electronic coupon may be stored with a user profile for the user. When the user purchases products or items at an online or retail store, the electronic coupons may be retrieved from the user profile and redeemed.

Abstract: An information technology platform for personalizing an experience of a visitor at a non-profit venue comprising: a network; a server in communication with the network; a mobile computing device to be carried by the visitor, the mobile computing device in communication with the server via the network, wherein the information technology platform determines personalized information about the visitor; a recommendation engine associated with the server, wherein the recommendation engine is to receive the personalized information about the visitor and to output a suggestion for a personalized experience for the visitor, wherein the information technology platform conveys the suggestion for the personalized experience to the visitor, wherein the personalized experience is to encourage philanthropic activity; and a social networking system for digital communication between the visitor and other visitors, and for sharing information or media related to the non-profit venue or to a philanthropic campaign associated wi

Abstract: An information processing apparatus acquires face image data of a passenger who has disembarked from an aircraft from an image capture device, and acquires identification information corresponding to the face image data acquired from the image capture device from the storage device. In the storage device, the identification information of the passenger, which includes flight information of the passenger, and the face image data of the passenger are stored in association with each other in advance. The information processing apparatus determines, based on the flight information included in the acquired identification information, whether the passenger is a passenger who is to re-board an aircraft after disembarking from the aircraft. If the passenger is a re-boarding passenger, a tour suitable for the passenger is determined based on the acquired identification information, and the information is displayed on the display devices.

Abstract: An image processing unit (110) acquires a position of an advertisement and a position of a product by analyzing an image in which the product and the advertisement are disposed on a shelf rack are captured. A determination unit (120) determines whether or not a relation between the position of the product and the position of the advertisement satisfies a criterion. An output unit (130) outputs information indicating a determination result obtained by the determination unit (120).

Abstract: A computer implemented method includes allocating to an advertisement campaign, planned bookings for certain time periods and for certain digital displays from an Out Of Home inventory. The method also allocates, by a real-time bidding process, unplanned bookings to the time periods. Forecasts of unplanned bookings demand are taken into account in allocating planned bookings.

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: A computing device can obtain data describing at least one document, the at least one document referencing at least one media object, wherein a portion of the at least one media object includes one or more characters. The computing device can obtain data describing the one or more characters in the at least one media object in the at least one document. The computing device can generate an updated copy of the at least one document that includes the data describing the one or more characters in the at least one media object. The computing device can present, on a display screen of the computing device and through an interface, the updated copy of the at least one document, wherein the one or more characters in the at least one media object are able to be selected or searched.

Abstract: The following relates generally to facilitating order and delivery of prescription medication. In some embodiments, a first prescription for a first medication of a first patient is received; and a second prescription for a second medication of a second patient is received. A pickup time of a first pharmacy may then be determined by: determining a pickup time for the first medication at the first pharmacy; determining a pickup time for the second medication at the first pharmacy; and selecting, as the pickup time of the first pharmacy, the later of the pickup time for the first medication and the pickup time for the second medication. Identifications of all of: the first patient, the second patient, the first medication, the second medication, the first pharmacy, and the pickup time of the first pharmacy may then be displayed.

Abstract: A neural network trainer trains neural networks to estimate secondary data at locations throughout a geological formation where secondary data is unknown. The neural networks are trained to estimate secondary data using locations in the geological formation as input. Subsequently, the secondary data is deleted from memory using the trained neural network as a proxy representation to reduce memory footprint and allow for estimation of secondary data at locations where it is unknown.

Abstract: Provided are methods and systems for, in one aspect, managing content delivered to one or more devices. Methods may comprise receiving a first identifier associated with a user of content. The content may comprise one or more advertisement or placement opportunities. A second identifier may be determined based at least on the first identifier. The second identifier may be a perishable identifier configured to expire based on an event. The second identifier may be transmitted to an entity associated with an advertisement inventory, wherein the second identifier facilitates the targeted placement of one or more advertisements from the advertisement inventory without exposing the first identifier to the entity.

Abstract: Systems and methods are provided for planning placement of an acetabular implant for a patient based on pelvic tilt. The system includes one or more sensors to be placed on the patient to provide measurements of a pelvic tilt angle of the patient taken with the patient in various functional positions to produce patient-specific data based on pelvic tilt from which to plan an inclination angle and a version angle of the acetabular implant for the patient.

Abstract: A computer-implemented method to generate a hotspot confidence score for a hotspot in a network graph includes, receiving input data, wherein the input data includes a plurality of messages, each message containing a set of message data. The method further includes generating, based on the plurality of messages, a network graph. The method also includes identifying, in the network graph, a first hotspot. The method includes compiling a set of hotspot characteristics for the first hotspot. The method further includes receiving, in response to identifying the first hotspot, a first user feedback. The method also includes, generating, by a learning model, a hotspot confidence score for the first hotspot; and outputting the hotspot confidence score.

Abstract: A network access point may control access by limiting time of access to users, and by granting additional access time in exchange for certain user behavior, such as viewing advertisements. Other rewards may be granted as well, such as changes to the user's network access quality, or access to restricted content.

Abstract: A computer implemented method includes allocating to an advertisement campaign, planned bookings for certain time periods and for certain digital displays from an Out Of Home inventory. The method also allocates, by a real-time bidding process, unplanned bookings to the time periods. Forecasts of unplanned bookings demand are taken into account in allocating planned bookings.

Abstract: A server computer system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a computing device associated with a contributing member, a signal defining one or more interface elements to be displayed on a computing device associated with a non-contributing member and one or more interface elements to be withheld from being displayed on the computing device associated with the non-contributing member; complete a booking request by applying loyalty points from a loyalty point account associated with a group of contributing members to offset a cost of the booking request for the non-contributing member; and responsive to completing the booking request, send, via the communications module and to the computing device associated with the non-contributing member, a signal indicating that

Abstract: In a computer apparatus, at least processor is arranged to determine values for two or more candidate advertisements. Based on the determined values, one of the candidate advertisements is selected. The selected advertisement is displayed on a user interface.

Abstract: An exemplary system, method, and computer-accessible medium for providing a financial account recommendation to person(s) can include receiving a transaction history for the person(s) associated with a first financial account, determining first rewards information based on the transaction history, accessing database(s) containing rewards rates for a plurality of second financial accounts, determining second rewards information for a particular second financial account of the plurality of second financial accounts based on the transaction history, and providing the financial account recommendation to the person(s) to one of (i) keep the first financial account or (ii) switch to the second financial account based on a comparison of the first rewards information to the second rewards information.

Abstract: Techniques are disclosed for implementing digital traffic data for analysis. In some examples, a telecommunications network determines an identity of a user associated with a user device that communicates with the telecommunications network. The telecommunications network identifies a physical location of the user device based on the user device communicating with a first transceiver of the telecommunications network. Then, the telecommunications network determines that the physical location of the user device corresponds to a first commercial location, and stores an indication that the user has visited the first commercial location.

Abstract: A valid combination of products is constructed from a set of products identified by a retailing backend system. The valid combination satisfies a condition of an offer. A product in the combination of product is a physical product located in a physical store. A social sentiment towards the product in social media data of a shopper is evaluated, and a rating of the product is computed using the evaluation. A location of the product in the store is obtained from the retailing backend system. The location of the product is overlaid on a view of the store, where the view is from a perspective of a location of the shopper, the shopper being physically situated in the store.

Abstract: A quantification system is configured for debiasing media creative efficiency. In some embodiments, the quantification system leverages a weighted generalized linear model (GLM) to determine the individual impacts of media creatives beyond network effects. To prepare input data for fitting the weighted GLM, the quantification system analyzes spot airing data, creates a specific data structure for storing observations (e.g., network-media creative combinations) that can be provided to the weight GLM as input, and computes additional input data points needed by the weighted GLM (e.g., network spend, media creative efficiency per network-media creative combination, etc.). The weighted GLM is then fitted to obtain coefficients representing the individual impacts of the media creatives. The quantification system utilizes the computed impacts to adjust the previously computed media creative efficiency for each media creative.