Embodiments of a system method and computer program product for selecting an advertisement and presenting it to a user are described. Products and services offered by various merchants are read using a merchant specific catalog and stored in a common format. Categories for such products and services are normalized and virtual categories are created using various product attributes. Visual creatives, termed as ad-templates are created to control the visual and interactive aspects of the ad, including ad-size, color, as well as product attributes that are displayed in the ad. Ad-templates may be constrained to specific products or product categories. A learning algorithm uses an adaptive sampling process to sample various products, product categories and ad-templates independently for different learning units such as individual users, groups of users determined by some demographics, individual web pages and groups of web pages grouped using various similarity criteria. The performance of the ad is measured using various learning statistics, such as the click-through-rate, conversion rate, etc. The learning algorithm uses the learning statistics to optimize the return for the advertiser by favoring the products or categories that perform better on one or more specified criteria.

Aspects of the present disclosure involve a system and a method for performing operations comprising: receiving, by a messaging application, content from a given user; selecting a metric for measuring performance of the content on the messaging application; measuring performance of the content on the messaging application; computing a value of the performance of the content on the messaging application based on the selected metric; and updating a restricted use token wallet stored in a profile for the given user based on the computed value of the performance of the content.

Provided are a viral marketing service providing system for distributing advertisement costs for each marketer by analyzing a behavior of a content receiver, and a method therefor. For the viral marketing service for distributing advertisement costs for each marketer, the system comprises a content receiver behavior analyzing unit and a traffic quality index calculating unit, thereby precisely filtering abusing marketers (abusers), and thus can minimize damages to legitimate marketers with good intentions at the time of distributing predetermined advertisement costs. Also, the system can extract, by using a traffic quality index, high quality marketers who generate active behaviors on an advertiser's landing page or start a rumor of contents in a manner which aids in the advertising purpose of an advertiser, thereby distributing some of the advertisement costs paid by an advertiser to the marketers at a higher rate than other marketers.

Consistent with embodiments of the present invention, a social media merchandising and advertising platform may be provided. The platform may enable any third party website, page, or entity referred to herein as an “advertiser” to post interactive content on a publisher's website. The interactive content may comprise, for example, a customizable badge. The platform may enable the advertiser to create, customize, and deploy the badge for display and access on the publisher's specified domain. Moreover, the platform may enable the advertiser to provide the publisher with various specifications and elements to be integrated into a customized badge and, in turn, provide the customized badge to a publisher. Either the publisher or advertiser, individually or collectively, may then post the advertiser's badge to a website.

Methods and systems providing digital signage and interactive gaming services in compliance with federal and state laws and regulations are described. A service fee is collected from a retailer, and a service fee may or may not be collected from a retailer (e.g., a bar). An advertising fee is collected from a first advertising provider. The first advertising provider is involved in alcohol distribution/wholesaling or manufacturing. A second advertising fee from a second advertising provider is collected. The second advertising provider is involved in a non-alcohol related industry. A portion of a subscription fee is collected based on a separate source of fees (e.g., text message or jukebox fee) received from a patron. The message may contain information indicating that the patron wishes to pay a service fee. Revenue sharing is implemented by distributing a portion of the service fee to the retailer and distributing a portion of the advertising fee from the second advertising provider to the retailer in compliance with federal and state laws.

A method for profit sharing is provided. The method includes deciding a first sharing rate according to a first event information and a first category information; obtaining a first sharing amount according to the first sharing rate and a first shared profit of the first category information; deciding a second sharing rate according to a second event information and a second category information; obtaining a second sharing amount according to the second sharing rate and a second shared profit of the second category information; deciding a total sharing amount by summing up the first sharing amount and the second sharing amount; and returning the total sharing amount in response to receiving a request from a user device.

Provided herein are system, methods and computer readable storage media in facilitating the determination of provider parameters, such as a provider margin, for a promotion of the provider's goods, services, and/or the like in an agreement between the provider, also known as a merchant, and a promotion and marketing service that is configured to illustrate or otherwise inform consumers of the availability of one or more instruments for a promotion. In providing such functionality, the system may be configured to, for example, receive provider characteristic data, determine historical provider information, receive provider promotion structure data, determine a provider profile, determine a positive return on investment threshold, and transmit a provider parameter.

A system and method for the automatic distribution of rewards for user content within social networks is provided. Content that is posted by users to social networks may display a qualifying product or service, as determined by the operator of the system and method. Such content is identified by software algorithms and evaluated for its marketing value. A quantity of that evaluated value is then paid out to the original user, either immediately or on a deferred basis, in the form of currency. The present invention provides for a novel method to compensate social media users for their unpaid labor they have performed by inadvertently advertising products and services, and thus represents a material benefit for a large segment of the population.

A delayed grouping (batch) processing of previous campaign delivery pacing decisions and corresponding outcomes (deliveries) is used to configure a new auction experiment iteration. In the new iteration, a campaign that was previously over-delivered is classified as either (a) over-delivered due to incorrect pacing or (b) over-delivered due to auction experiment design. After the delayed processing, the new auction experiment iteration is conducted with a mitigating action taken on the previously over-delivered campaign if the campaign is classified as (b) over-delivered due to auction experiment design. For example, the mitigating action can include removing the campaign from a subsequent iteration of the experiment, or the experiment can be redesigned. By doing so, the over-delivery caused by the campaign due to the auction experiment design is avoided when performing the new auction experiment iteration.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for efficiently allocating resources among participants. Methods can include receiving valuation data specifying, for each of a plurality of entities, a respective valuation for each of a plurality of resource subsets, each resource subset comprising a different combination of one or more resources of a plurality of resources. After receiving valuation data, assigning each resource in the plurality of resources to a respective entity of the plurality of entities based on the valuations and generating, for each particular entity, a respective input representation that is derived from valuations of every other entity in the plurality of entities other than the particular entity. The input representation for each particular entity is processed using a neural network to generate a rule for the particular entity and a payment based on the rule output for the entities.