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 system for generating predictions associated with interdependence detection between a plurality of data objects, each data object of the plurality of data objects corresponding to an entity name, the system processing, using a natural language processing engine, text strings to extract entity names associated with each of the text string; processing, using a machine learning engine, the text strings to extract estimated economic relationships identified between at least two different entity names. The estimated economic relationships are aggregated for each pair of entity names to establish of potential interdependence between the pair of entity names. An output data structure is generated based at least on the aggregated estimated economic relationships.

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.

Abstract: A method for generating advertising content includes: during a content creation period, receiving a video advertisement from an entity; packaging the video advertisement with a pointer to the entity and a checkout portal for content linked to the video advertisement to generate an augmented video advertisement; during a live period succeeding the content creation period, for a first instance of the augmented video advertisement accessed at a first computing device associated with a first user, associating a first purchase completed within the checkout portal of the first instance of the augmented video advertisement with the entity based on the pointer; and, for a second instance of the augmented video advertisement accessed at a second computing device associated with a second user, associating a second purchase completed within the checkout portal of the second instance of the augmented video advertisement with the entity based on the pointer.

Abstract: One or more computing devices, systems, and/or methods for selecting content items for transmission to client devices are provided. A first content item may be transmitted to a first set of client devices. A first request for content associated with a first client device of a second set of client devices may be received. A first bid value associated with a second content item may be selected. The first bid value may be modified based upon a second bid value associated with the first content item to generate a third bid value associated with the second content item. The second content item may be selected from a first plurality of content items for presentation via the first client device based upon a plurality of bid values having the third bid value. The second content item may be transmitted to the first client device.

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 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: Described herein are systems and techniques for providing automatic distribution of transaction-related benefits to an account used to conduct a transaction. In certain embodiments, the system receives transaction details from a transaction processing network as transactions are conducted. The system determines an appropriate benefit provider for a transaction conducted from an account and provides a subset of transaction details to that benefit provider. The benefit provider compares the subset of transaction details to a set of limited transaction details received from a resource provider to identify the transaction and determine a benefit amount, if any, for which the transaction qualifies. The benefit provider then provides the benefit amount to the system, which then causes the transaction processing network to credit the account the benefit amount.

Abstract: The present disclosure involves systems, software, and computer implemented methods for proactively predicting demand based on sparse transaction data. One example method includes receiving a request to predict transaction dates for a plurality of transaction entities for a future time period. Historical transaction data for the transaction entities is identified for a plurality of categories of transacted items. The plurality of categories are organized using a hierarchy of levels. Multiple levels of the hierarchy are iterated over, starting at a lowest level. For each current level in the iteration, a plurality of transaction date prediction models are trained and tested. Heuristics for the plurality of trained transaction date prediction models are compared to determine a most accurate transaction date prediction model. The most accurate transaction date prediction model is used to make a prediction of transaction dates for the current level for the future time period.

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: Retail merchants, third-party manufacturers, and/or distributors of retail goods market and distribute promotions to consumers based on the consumers' transaction histories (i.e., users that do not typically purchase a particular brand of soda) and/or award promotions to consumers targeted to a specific item, class or category of item, or characteristic of an item. The promotion redeems and is applied automatically to reduce the purchase amount when the consumer presents a payment method for a transaction for the purchase of a targeted item.

Abstract: In an embodiment, a system server receives, from a plurality of advertiser devices, a plurality of advertisements, at least one corresponding personal information value, and a corresponding price. The system server also receives from users ratings of advertisements. The system server calculates, for each of a plurality of personal information types, a corresponding price.

Abstract: A method for use an earned autopay account, an available autopay account, an earned points account, and an available points account each associated with a customer. The method includes storing a cache including first and second numbers of points stored in the available autopay account and the available points account, respectively. A points authorization request requesting a first transaction amount is received from a requesting computing device. A second transaction amount is subtracted from the first and/or second numbers of points. A points redemption request including a third transaction amount is sent to the payment processing computing device. Each of the first, second, and third transaction amounts includes a particular monetary value and/or a corresponding transaction number of points. The payment processing computing device subtracts the third transaction amount from the available points account and/or the available autopay account.

Abstract: Methods for generating one or more advertisement creatives for multiple advertisement types. In one aspect, a method includes receiving a selection and data entered in an electronic form, the selection being for two or more different advertisement types, the entered data being of one or more data types, the data types including text, image, audio, or video, generating two or more advertisement creatives using the entered data, the two or more advertisement creatives being for the selected two or more different advertisement types, and presenting the two or more advertisement creatives.