Abstract: The invention relates to a campaign management system comprising a computer-data processor memory, a graphical user interface (GUI), the management system (CAMS) processing a plurality of participant records (PREC) according to a user-configured process structure (PS) of a plurality of configured logic templates (CLT) configured on the basis of a plurality of logic templates (LT); the graphical user interface (GUI) is arranged to display graphical elements (GE), each graphical element (GE) being associated with a logic template (LT); wherein said logic templates (LT) comprise user editable parameters (UEP) being editable using the graphical user interface (GUI) and an executable program fragment (EPF) being executable on the basis of said user editable parameters (UEP) and one or more of said participant records (PREC); wherein the graphical elements (GE) are couplable using said graphical user interface (GUI) by a user, the coupling defining the process structure (PS) of said executable program fragments (EP

Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.

Abstract: A computer-implemented method includes identifying a plurality of hyperlinks on a first webpage. The computer-implemented method further includes determining, for each hyperlink in the plurality of hyperlinks, a degree of likelihood that a user will select a given hyperlink in the plurality of hyperlinks. The computer-implemented method further includes initiating a first bid request for a first ad space for a second webpage that is accessible by a first hyperlink in the plurality of hyperlinks based on the first hyperlink having a degree of likelihood above a given threshold level. The computer-implemented method further includes determining a selection of the first hyperlink by the user. The computer-implemented method further includes displaying a first advertisement associated with a first winning bid on the second webpage. A corresponding computer system and computer program product are also disclosed.

Abstract: An automobile dealer referral and rewards service allows users to recommend automobile dealers to one another through referral links. If the referral ends up buying an automobile from the dealer, the referring user receives a monetary reward through the system, which is paid for by the dealer who received the referral and made the purchase.

Abstract: The present invention relates to a method of providing credits for ridesharing to a user, comprising: detecting a request by the user for a ridesharing trip provided by a rideshare provider; associating, with the request, a user location, a pickup location and a destination location; allocating one or more advertisement messages based on at least one of the user location, the pickup location and the destination location; providing the one or more advertisement messages to the user for viewing on a user device during an eligibility period; confirming viewing of at least one of the one or more advertisement messages during the eligibility period; calculating a rideshare credit amount based on the confirmed viewing; and providing the rideshare credit amount to the user, wherein the eligibility period includes the duration of the rideshare trip. The rideshare credit amount is preferably a travel distance measurement (e.g.

Abstract: A digital content communication system for account management and predictive analytics may be provided. The system may include an analytics system that communicates with one or more servers and one or more data stores to provide digital content management in a network.

Abstract: A method, apparatus and computer readable medium for independent validation of asset serving. The method is performed in a network that comprise a Content Distribution Network (CDN) retaining a plurality of assets available for download therefrom. Responsive to receiving an asset serving request, an asset is selected from the plurality of assets, an asset session identifier corresponding to the asset and the asset serving request is generated, and an Asset Serving Template (AST) comprising a Uniform Resource Locator (URL) pointing to the asset is provided, wherein the URL is configured when being used in a download request of the asset from the CDN to effect recordation of the asset session identifier in association with an event logged in an event log responsive to the download request, whereby enabling determining unique asset download request events of a given asset of the plurality of assets based on asset session identifiers corresponding thereto.

Abstract: Methods and apparatus for media data usage measurement and reporting are disclosed. For example, an example television disclosed herein includes a processor to execute computer readable instructions including monitoring software to at least collect metadata from a media stream, execute a media data usage gathering object to gather and encapsulate usage data associated with presentation of the media stream by the television, the usage data including the metadata, report the usage data to a remote system via a network in communication with the television, and insert an advertisement in the media stream, the advertisement selected based on the reported usage data.

Abstract: Targeted content is provided for display on a user device by detecting a first user interaction between the user device and a currently viewed webpage. A first transaction that includes a first user device identifier for the user device is generated. The first transaction is broadcasted to cause the first transaction to be sent to a smart contract stored in a distributed ledger. In response to the execution of the smart contract, first user information associated with a second user interaction between the user device and a previously viewed webpage that occurred prior to the first user interaction is received. Content for display on the user device via the currently viewed webpage is determined based on the first user information and the content is provided for display on the user device within the currently viewed webpage.

Abstract: Techniques are provided for determining that an item should be provided for presentation to a user based on an item concept relatedness score. For example, a computer system may partition a plurality of items into a plurality of item concepts, whereby each item is assigned to one and only one item concept. The computer system may receive a list of co-selected items, whereby each item of the list is assigned to an item concept. Based at least in part on this list, the system may determine an item concept relatedness score between a first item concept and a second item concept of the plurality of item concepts. The computer system may then receive a selection of a first item assigned to a first item concept. Based at least in part on the item concept relatedness score, the system may provide the second item for presentation to a user.

Abstract: In one implementation, a system for providing product suggestions to provide to a customer during a checkout process at a retail store includes a checkout configuration that includes a point of sale terminal, a scanner to scan products, a scanning preparation area where products to be scanned are positioned, and a customer-facing device. The system can further include one or more product sensors to capture and transmit product signals. The system can also include a product identification system that is programmed to identify the products contained in the scanning preparation area. The system can further include a product recommendation engine that is configured to identify contents of a customer cart from the products contained in the scanning preparation area; determine product recommendations based, at least in part, on the contents of the customer cart; and transmit the product recommendations to the customer-facing device for display to the user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing an A/B test on a target element of an online platform. In one aspect, a method comprises: conducting an A/B test on a target element of an online platform, comprising: for each user in a population of users, measuring: (i) an outcome of the user interacting with the online platform, and (ii) an interaction of the user with a mediator element of the online platform; and determining, based on the A/B test, a direct effect value that estimates an expected change in user outcomes when the test version of the target element is presented instead of the control version of the target element that is caused independently of induced changes in user interaction with the mediator element.

Abstract: Methods, apparatuses, and computer program products are provided herein to facilitate negotiation between consumers and merchants for promotions. In one embodiment, a method for generating promotion impressions is provided which includes receiving a consumer request for a promotion, wherein the consumer request comprises one or more indications of consumer preferences for the promotion and determining one or more potential merchants based in part on the consumer request. The method further comprises determining, for each potential merchant, if the potential merchant has pre-established promotion criteria that would meet the consumer request and if the potential merchant has pre-established promotion criteria that would meet the consumer request, storing promotion data for the potential merchant.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for personalizing offers are provided. One of the methods includes: collecting response data comprising one or more offers made to each of a plurality of users of a platform and one or more corresponding responses, wherein the one or more offers are from a group of offer choices; creating a training dataset comprising the collected response data and one or more features associated with each of the plurality of users; training a machine learning model using the training dataset, wherein the trained machine learning model is configured to predict the plurality of users' responses to future offers; obtaining a plurality of projected profits for the platform using the trained machine learning model, wherein each of the plurality of projected profits corresponds to making one of the group of the predetermined offers to one of the plurality of users.

Abstract: A system predicts a value estimate for a user who provides a service that involves moving among geographical regions (e.g., a transportation service). The system determines the value estimate by identifying a sequence of time periods, each time period having an associated set of geographical regions. Possible transitions between geographical regions in different time periods are analyzed, for example, using statistical or machine-learned models, to determine likelihoods that the user will move between the geographical regions from one time period to another, and to determine expected values for a transition. Such models may be trained or developed using historical service data and user profile data stored by the system. Transitions are analyzed over a sequence of time periods to determine accumulated values associated with estimated overall values for each geographical region. The system predicts an overall value estimate for the user based on the accumulated values.

Abstract: A system and method for operating a bundle-type checkout system incorporating subscription tiers, comprising a subscription manager that assigns subscription tiers to merchants, an offer manager that receives price offers from consumers and analyzes offers to compute bundle offers, a threshold calculator that calculates price discount thresholds and compares price discount values to offer values, and a discount optimization manager that calculates price discounts and determines acceptability of price offers, and a system and method for weighted discount distribution among subscription tiers.

Abstract: Methods, computer-readable media, systems and apparatuses for home maintenance monitoring and rewarding users for completion of various home maintenance tasks are provided. The systems may receive data associated with a home, such as a plurality of systems and/or devices associated with the home. Based on the received information, the systems may generate a maintenance task list for the home including a plurality of maintenance tasks. Data related to maintenance performed on the home may be received and, based on the received maintenance data, a determination may be made as to whether one or more tasks on the maintenance task list have been completed. Upon completion of a task, a reward, such as points, discounts on future maintenance, insurance premium discounts, etc., may be deposited in an account of the user. In some arrangements, the points may be redeemed as payment on future maintenance, payment on insurance premiums, or the like.

Abstract: A promotion processing system may include user devices that may include a mobile device to acquire an image of a given product having a brand associated therewith. The system may include a promotion processing server to obtain the acquired image of the given product from the mobile wireless device, and use image recognition to determine the brand associated with the given product based upon the acquired image. The server may also operate a chatbot with the user devices. The chatbot may include a social media wall having user-obtained images of different products, and each different product may be associated with the brand. The server may add the acquired image to the social media wall and solicit voting, within the chatbot and from the user devices, for a favored image on the social media wall, and determine and communicate a reward value to the mobile device based upon the voting.

Abstract: Systems and methods are provided for evaluating aggregate merchant sets, which are often generated by a payment network. One exemplary method includes accessing, by a computing device, a monitor score and a volatility score for an aggregate merchant set representative of multiple merchants having at least one disparate parameter in a transaction data structure, fuzzy sets for the monitor score and the volatility score comprising linguistic values, and inference rules that use the linguistic values in logical operations. The method also generally includes determining degrees of membership of the monitor score and volatility score to the associated fuzzy sets and generating an evaluation index based on the inference rules and the degrees of membership to the fuzzy sets, thereby providing an indication of a propriety of the aggregation of said multiple merchants.

Abstract: A system and method for carrying out a transaction using a plurality of digital wallets, in a manner whereby benefits and/or perks of using each respective digital wallet is optimized in relation to a quantum of the transaction is provided.