Abstract: Techniques are disclosed for determining application experience of a user. One embodiment presented herein includes a computer-implemented method, which includes receiving, at a computing device, eye tracking data of a user interacting with at least a first page of an application. The computer-implemented method further includes determining, based at least on the eye tracking data, at least a current user experience regarding the first page. The computer-implemented method further includes predicting, based on evaluating the current user experience, that the user is likely to discontinue use of the application. The computer-implemented method further includes determining, based at least on the prediction, an intervention that reduces a likelihood of the user discontinuing use of the application, and interacting with the user according to the intervention.

Abstract: A method, computer system, and computer program product. A list of items to be rendered on a display screen is received by a computer system. A display priority of each item in the list is determined by the computer system. Each item in the list is rendered in chronological order on the display screen, based on the determined display priority of each item in the list by the computer system.

Abstract: Systems and methods for the selection of the promotions are provided. A set of possible offers are initially received, each including a set of variables, with each variable having a set of possible values. These form a combination of variable values for each offer. A heuristic is applied to all possible offers to reduce the number of offers being considered. The combination of variable values for these reduced number offers is converted into a vector value, which is then scored, ranked and the top ranked offers are selected for inclusion in a promotional campaign. The remaining offers are then analyzed to select additional offers to include into the promotional campaign which maximizing a determinant for the selected offers using their vectors. All selected offers are administer in a promotional test campaign across many consumer segments. Feedback from the campaign may be collected to generate a “general” offer.

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: The present invention relates to an advertising system and method of using the same. The advertising system includes a light source which may be activated by near field communication devices in order to extract information from the system.

Abstract: A method for issuing coupons to a plurality of target users is provided. For each of the plurality of target users, the method may include determining a predicted value of a group indicator of the target user in a predetermined period. The method may further include grouping the plurality of target users using a plurality of grouping strategies. For each of the grouping strategies, the method may further include determining a candidate coupon issuing strategy. For each of the candidate coupon issuing strategies, the method may further include obtaining user feature information of one or more target users in each group corresponding to the candidate coupon issuing strategy. For each of the candidate coupon issuing strategies, the method may further include predicting an ROI of the candidate coupon issuing strategy based on an RO prediction model and the corresponding user feature information.

Abstract: A method and associated system of producing an advertising campaign of a product for an online marketplace seller including, under control of one or more processors configured with executable instructions, generating a single keyword advertising campaign of the product; collecting data on the single keyword; executing a machine learning component of an adaptive machine learning platform to generate a machine learning component output based at least in part on the data on the single keyword; generating a behavioral curve or table relating to an advertisement bid value and a cost per click value based at least in part on the machine learning component output; generating sales goal(s) of the product for the online marketplace seller on the online marketplace; generating an optimized advertisement bid value based at least in part on the sales goal(s) and the behavioral curve or table; and generating an optimized advertising campaign therefrom.

Abstract: Systems and methods are disclosed which facilitate providing a marketplace for acquisition of service images to be executed in a hosted computing environment. Service image providers submit service images for inclusion in the service image marketplace. Providers may further specify pricing and usage conditions associated with the service images. Customers browse and select service images for hosting on either the marketplace hosted computing environment, or an alternate hosted computing environment. If necessary, customers may submit payment information. The service image marketplace may monitor usage of hosted service images and bill customers according to use.

Abstract: Systems, methods, and computer-readable media are disclosed for optimization of online advertising bid requests and floor pricing. In one embodiment, a method may include receiving a first ad impression request for an ad slot on a publisher website or mobile application from an ad exchange server, extracting first publisher website information from the publisher website, and associating the first publisher website information with the first ad impression request. The method may include comparing the referral website URL to a set of one or more historical ad impression requests, identifying second publisher website information associated with a second ad impression request, the second publisher website information comprising ad slot dimension information, and associating the second publisher website information with the first ad impression request. The method may include generating a bid request associated with the first ad impression request, and sending the bid request to one or more ad servers.

Abstract: A real-time messaging platform allows advertiser accounts to pay to insert candidate messages into the message streams requested by account holders. To accommodate multiple advertisers, the messaging platform controls an auction process that determines which candidate messages are selected for inclusion in a requested account holder's message stream. Selection is based on a bid for the candidate message, the message stream that is requested, and a variety of other factors that vary depending upon the implementation. The process for selection of candidate messages generally includes the following steps, though any given step may be omitted or combined into another step in a different implementation: targeting, filtering, prediction, ranking, and selection.

Abstract: The disclosed technology includes system and method for discovering key places for a mobile device based on historical location data associated with the mobile device. The key places are discovered by mapping the historical location data into predefined land areas in a geographical region, aggregating the historical location data into time interval sessions, selecting a first set of the predefined areas based on density of location data in each of the predefined land areas, and filtering the first set of the predefined areas to obtain the key places. The key places are used to estimate one or more travel routes routinely taken by a user of the mobile device, and to build an association database, where one or more billboards and/or points of interests near the travel routes are associated with the mobile device or its user. Information documents for delivering to the mobile device are selected based at least on data in the association database.

Abstract: Systems and methods for modifying campaign dependent geofences by creating marketing campaigns and linking the marketing campaign to a specific geofence. Each campaign-linked geofence may be capable of delivering the campaign messages to geofence participants during the duration of a marketing campaign and the geofence system may subsequently deactivate the geofence automatically after the marketing campaign has concluded. The systems and methods may map a geofence with a defined boundary to specified location on the map coinciding with the marketing campaign. As the tracked computer devices impinges on the borders of the market campaign's geofence, select messages may be received by the tracked computer devices, corresponding specifically to the events, promotions and advertisements of the campaign events during the time frame the events are active.

Abstract: Disclosed herein are methods and systems for real-time content-matched advertisement in an augmented reality environment. In particular, a plurality of integrated images of an extracted real life object in a virtual environment is provided at a computer device to a user. The plurality of integrated images comprises one or more advertisement elements that are determined using a comprehensive content matching mechanism. The comprehensive content matching mechanism is based on a plurality of factors comprising advertisement content, user preference information, and context information.

Abstract: Systems and methods are disclosed for optimizing an online advertising campaign both before the campaign begins, and dynamically during the campaign. Optimizations are performed comparatively between a plurality of MPs (Media Properties) based on their relative cost-per-engagement. Comparisons are performed by first stack ranking MP inventory including any of sites, feeds, and verticals, based on cost per engagement. Once ranked, scores are assigned to the targeted inventory and a mean score is determined. Then, the inventory is rated as high, normal, or low impact based on their scores compared with the mean and a standard deviation for all scores. Higher impact sites with scores at least a standard deviation above the mean are initially favored, and the MP targeting strategy is dynamically adjusted during the campaign based on periodically re-evaluating the MP rankings, frequencies of engagement, and campaign progress relative to fulfillment in an allotted run time.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining, by machine logic, interactions data specifying attributes of interactions with posted social media promotional content promoting a product, wherein the product is subject to an initiated purchase transaction, and wherein the interactions include interactions by a plurality of users; attributing, by machine logic, referral credit for the purchase transaction to users of the plurality of users based on the examining; and providing one or more output based on the attributing.

Abstract: The system and method may receive transaction data for a financial account associated with a user during a first time period and a second time period. A first environmental impact score for the transaction data associated with the user in the first time period may be determined and a second environmental impact score for the transaction data associated with the user in the second time period may also be determined. The first environmental impact score and the second environmental impact score may be compared. The system and method may determine whether there has been a change from the first environmental impact score to the second environmental impact score. In response to a determination that the second environmental impact score is less than the first environmental impact score; a bonus score may be determined for the user.

Abstract: In embodiments, the present invention provides a method and system for receiving a navigation request from a mobile communication facility, receiving an indicator input, dynamically creating a content based at least in part on an association of the navigation request and the indicator input, and presenting the dynamically created content to the mobile communication facility.

Abstract: Techniques are described in which a service operates to identify consumers corresponding to visitor interactions with resources available from a service provider. Features are selected to use for matching of clickstream data collected for unknown visitors to profiles established for known visitor IDs. The features are selected based on analysis that accounts for consistency, completeness, and uniqueness of features among a corpus of profiles. Then, relevance scores are computed over the selected features using an information retrieval model in which clickstreams are treated as queries and profiles are treated as documents. Unknown visitors are matched to corresponding profiles using the relevance scores. Access to the digital media content is then controlled in accordance with the matching based on relevance scores, such as by serving individualized marketing offers and content to consumers that is targeted to characteristics of the consumers indicated by respective profiles.

Abstract: Introduced is a technology for facilitating a referral between a referrer and a referee, including the generation of the referral and the tracking of the referral redemption by the referee. The technology enables a customer to send a referral about a merchant to a friend by simply providing contact information associated with that friend (e.g., email address, telephone number, etc.), and further enables the friend to redeem a promotional offer included in the referral upon a use of the friend's payment card at the merchant's point-of-sale (POS) system, without having to provide any further information. In some instances, a transfer of a referral reward (e.g., points, discount, payment, etc.) is also transferred to the referrer in response to the redemption by the referee.

Abstract: A method of enhancing a user interface of a network-based publication system based on seasonality scores associated with items featured in listings posted on the network-based publication system is disclosed. Seasonality data is generated for each of the items. The generating of the seasonality data includes identifying a season corresponding to transaction data pertaining to each of the items and storing the seasonality data in conjunction with the transaction data in a database. The season pertains to a selected user action that is to result in a presentation of a user interface on a device of the user. Seasonality scores are calculated and associated with the items featured in a subset of the listings that are candidates for inclusion in the presentation of the user interface. Relevancy scores are adjusted for each of the candidates and are incorporated into a presentation of the listings in the user interface.