Abstract: A system comprises at least one computer device in communication with one or more server computers. The system converts unstructured text into usable order details, and uses instant messaging to notify recipients of the order details. The notices include electronic web links that launch a web interface that generates an editable, pre-populated electronic order ticket based on the order details. Submission of the electronic order ticket launches an auction during which the recipients may respond with offers to fulfill to the electronic order ticket. If after the auction more than one response is needed to fill the electronic order ticket, the system automatically allocates how and in which order the responses will be used to fill the electronic order ticket. If the electronic order ticket is not completely filled after the auction, the electronic order ticket is submitted to one or more additional exchanges for further filling.

Abstract: A system for monitoring compliance with a retail display program includes a beacon coupled to a promotional display structure. The beacon is configured to transmit a beacon signal that includes a beacon ID and is configured to be received by a user device. A database stores the beacon ID along with a specified retail facility and time period associated with the promotional display structure. A computing device is configured to receive a beacon data record at least partially generated by the user device. The beacon data record includes the beacon ID, a time stamp, and location-specific data associated with a retail facility in which the beacon data record is generated. The computing device is configured to compare the location-specific data and time stamp to the specified retail facility and time period to determine whether the promotional display structure is displayed in the specified retail facility during the specified time period.

Abstract: A targeted advertisement system may include influencer computers each associated with a respective content influencer and configured to receive respective influencer content associated with a given product for purchase. The targeted advertisement system may also include a remote server coupled to each of the influencer computers. The remote server may be configured to obtain purchaser data associated with a plurality of purchasers and generate targeted advertisement content based upon the influencer content. The remote server may also be configured to send the targeted advertisement content to respective purchaser computers of the corresponding purchasers along with an associated digital promotion and based upon the purchaser data.

Abstract: Systems and methods for scoring promotions are provided. A set of training offers are received, which include combinations of variable values. These combinations of variable values are converted into a vector value. The offers are paired and the vectors subtracted from one another, resulting in a pair vector. Metrics for the success of offers is collected, and are subtracted from one another for the paired offers to generate a raw score. This raw score is then normalized using the pair vector. The normalized scores are utilized to generate a model for the impact any variable value has on offer success, which may then be applied, using linear regression, to new offers to generate an expected level of success. The new scored offers are ranked and the top-ranked offers are selected for inclusion in a promotional campaign.

Abstract: The systems and methods are directed to identity resolution service (IRS) which may be used to enable accurate and faster conversion contribution analysis across multiple channels. IRS may be responsible for keeping track of relationships between user identifiers and for determining a user canonical identifier given a set of input identifiers and identity mappings. Users may utilize multiple devices and browsers to view advertisements and perform actions that result in conversion events. Users may be anonymous on one device but logged in and recognized on a different device and/or browser. The canonical identifier associated with a user may be used to obtain a full set of conversion events generated by the user and the full set of ad traffic to which the user was exposed. Conversion attribution analysis using the full set of conversion events and full set of ad traffic will result in accurate conversion rates for advertisers.

Abstract: An electronic distributed computing system connecting both merchant and customer devices implements a referral marketing program that rewards customers for recruiting other customers to purchase products from the merchant and join the referral marketing program. A customer uses an application to purchase a product or service and is invited to join the referral marketing program. The customer is optionally invited to select an incentive level and a target number of recruits. After paying a referral program fee that varies based on the cost of the customer's purchase, the incentive level, and the recruiting target, the customer obtains the targeted number of electronic referral keys. The customer provides these referral keys to recruited customers in exchange for a predetermined resale program fee. The recruited customer can redeem the referral key to join the referral marketing program and obtain their own referral keys, after making a purchase from the merchant.

Abstract: A system and methods for automatically generating rewards with ticket sales is disclosed. The system directs a consumer to a ticket vendor portal where the consumer can place an order for the number of tickets desired. After the payment is confirmed, at the conclusion of the purchase, the rewards associated with the purchase of the tickets are automatically generated and returned to the consumer. The rewards may comprise free or reduced-price tickets for military service members or veterans, as well as for public servants such as members of the police and fire department for example. Civilians or a non-military member can direct rewards for a military member or veteran which is automatically generated by the system. Consumer devices may employ communication systems including cellular, Wi-Fi, Bluetooth, RFID, and Geo tracking for tracking consumer activity such as consumer purchasing and redemption of rewards.

Abstract: Various methods, systems, and computer program products are disclosed for communicating location-based digital components to a mobile and other devices. A natural language processor component can parse an input audio signal to identify a request and a keyword. A content selector can select digital components based on keyword and request. An audio signal generator component can generate an output signal that includes a selected digital components. An interface can transmit the output signal to cause a client computing device to drive a speaker to generate an acoustic wave corresponding to the output signal prior to occurrence of at least one of the first action and the second action.

Abstract: A method and system for one time use of electronic retailer coupons is disclosed herein. The method and system prevents fraud, is specific to a geolocation and provides an audit trail of the customer, cashier and marketing platform. A user can also earn a subsequent coupon by referring a friend.

Abstract: A segment targeting system generates target segment audiences for delivery of digital content. The segment targeting system generates hit recency and frequency summary data, which identifies hit recency and hit frequency for each of multiple cookie identifiers that satisfied a metric in at least one of multiple segments and in a time range in user specified target segment audience criteria. At least a portion of this summary data is used to train a machine learning system. The machine learning system can include multiple machine learning models, with each model being associated with a different false positive to false negative penalty ratio modelling parameter when learning recency and frequency combinations of hits on webpages in each segment that work well to separate cookie identifiers that satisfied a metric for an offering in a target segment and cookie identifiers that satisfied a metric for an offering in other segments.

Abstract: The disclosure is directed to determining, among a number of estimated market values of a real estate property, an estimated market value (EMV) that is closest to an EMV computed by an application (“application-computed EMV”). The application receives a property profile from a user, e.g., a seller, having pictures and description of a real estate property, e.g., a house. The application publishes the property profile to multiple member agents, e.g., real estate agents, who can provide an EMV of the real estate property based on their opinion. The application determines the application-computed EMV based on a variety of property data, e.g., sales and/or tax history of the real estate property or other related real estate properties, obtained and/or derived from various third party systems. The application then compares the application-computed EMV with member agent-provided EMVs to determine a member agent-provided EMV that is closest to the application-computed EMV.

Abstract: Systems and methods are provided herein for determining personalized timing for generating for display advertisements to users. Rather than an expert determining time segments of a media asset most suitable for presenting advertisements to users, the most suitable time segments in a media asset for presenting advertisements to users may be customized based on a user's profile information and/or the user's level of engagement in a media asset. The media guidance application may parse a media asset into multiple time segments and determine one or more time segments associated with metadata that matches content characteristics preferred by the user. One or more advertisements may be presented to the user in these time segments determined by the media guidance application instead of the time segments determined by the expert.

Abstract: Systems and methods are provided for analyzing images or video using computer vision. Data comprising real time or near real time information or historical information is retrieved that is associated with a sporting event at a physical location. A time segment is identified of a display device at the physical location for acquisition. The display device is configurable to present visual sponsorship data during the time segment for an assigned sponsor. It is determined that one or more rules are satisfied by the data. An indication is transmitted that the first rule is satisfied to a computing device of a sponsor. A bid or valuation is generated based at least on the first rule being satisfied. A request to acquire the time segment is received from the computing device of the sponsor, and the display device at the physical location is caused to present visual sponsorship data for the sponsor during the time segment.

Abstract: The system and methods of the disclosed subject matter provide a hybrid machine learning approach for recommending items that a consumer should be shown as a next best offer. The recommendation may be based on the consumer's previous behavior, other consumers' previous behavior, and the consumer's profile. The system and methods may cluster an input dataset using an unsupervised clustering engine. The dataset output from the unsupervised clustering engine may be subsequently provided to the input of a supervised machine learning engine to generate a rules-based model. The system and methods may use the rules-based model to subsequently cluster new user data and generate recommendations based on the user's assigned cluster.

Abstract: A method and digital signage player for managing display of a distributed digital signage content. The digital signage player stores the distributed digital signage content, and a local placement target for the distributed digital signage content. The digital signage player displays the distributed digital signage content in accordance with the local placement target. The digital signage player exchanges messages with a neighbor digital signage player, for increasing the local placement target of the distributed digital signage content at the request of the neighbor digital signage player. The neighbor digital signage player also displays the distributed digital signage content in accordance with its own placement target, which needs to be decreased. The digital signage player ultimately increases the local placement target of the distributed digital signage content based on the messages exchanged with the neighbor digital signage player.

Abstract: A mobile computer device for browsing one or more internet content by an user comprising an application embedded within said mobile device, said application comprising: a viewing module for said user to view said internet content; an automatic scrolling module wherein said scrolling module moves said internet content up in desired interval; a data gathering module that gathers data of the interaction between said user and said automatic scrolling module and said internet content.

Abstract: Inactive areas of interest to a merchant delivery service may be identified and customers within those areas may be utilized to recruit eligible merchants to participate with a merchant delivery service so that the merchant delivery service can deliver customer ordered products on behalf of participating merchants to the customers within the area. In some implementations, the merchant delivery service may provide incentives to customer to incent the customers to recruit eligible merchants to participate with the merchant delivery service. Likewise, incentives may be provided to merchants to incent merchants to participate in the merchant delivery service. When an eligible merchant becomes a participating merchant, the merchant delivery service provides a reward to the customers that recruited the merchant.

Abstract: For a scheduled purchase, a point count setter sets an upper point usage limit in accordance with an operation. Based on point management information, a discount payment controller controls payment for the scheduled purchase so that the payment is executed at a discount based on the upper point usage limit set. A limited-time point count notifier determines the number of limited-time points scheduled to be used based on the point management information and the upper point usage limit, and before the scheduled purchase is executed, notifies a user of the number of limited-time points scheduled to be used. For a scheduled purchase in a series purchase, a revision suggestion notifier obtains the number of the user's points, and based on how the difference between the obtained number and the upper point usage limit occurs, gives the user a notice to suggest revising the upper point usage limit.

Abstract: A technique is provided that dynamically controls the speed at which a mobile device user can use funds. More specifically, the technique provides a lockout mechanism, which temporarily prevents the mobile device user from accessing and thus spending the funds.

Abstract: Methods and systems for managing content related to Sustainable Development Strategies (SDS) may include a processor for receiving content comprising standardized data. The standardized data may include monetary valuations. The processor may be configured to store the received content in a storage device, and communicate with a content publication module and the storage device to publish the SDS content. In an embodiment, the processor may be configured to allow for searching of the published content by criteria based on the standardized SDS content. In an embodiment, the publication of submitted contents may be limited to a first predetermined number. The publication limit may be increased from the first predetermined number to a second predetermined number when a first predetermined threshold is reached. To encourage new quality content, additional increase in the number of contents that may be published may be allowed if additional predetermined thresholds are met.