One or more computing devices, systems, and/or methods for implementing a model for serving exploration traffic are provided. An amount of spend by a content provider to provide content items of the content provider through a content serving platform to client devices of users is determined. A number of exploration impressions of users viewing exploration content items of the content provider over a timespan is determined. A return on exploration impression metric is determined for the content provider based upon a ratio of the amount of spend to the number of exploration impressions. The return on exploration metric is used to rank available exploration content items of content providers for serving exploration traffic.

A mobile device's location and an identifier corresponding to the mobile device is received. The mobile device's location is privatized by mapping it to landmarks proximate to the mobile device's location, storing the proximate landmarks in association with the mobile device's identifier, and discarding the received location data. The proximate landmarks are featurized to generate a model which is used to determine a value of the advertising opportunity corresponding to a target identifier.

Provided is a system that includes a circuit to generate an interactive item based on a request received from a first distribution network or a second distribution network. The interactive item is overlaid over a media item present in media content. The circuit then activates the generated interactive item overlaid over the media item of the media content. Further, the circuit receives an event trigger, from a client application engine operational on a user device associated with a user, for a selection of the activated interactive item. A personalized list is generated for the event trigger for the selection of the interactive item. Further, the generated personalized list is transmitted for a display for a defined time duration, to one of the first distribution network, the second distribution network or the client application engine operational on the user device.

Systems and methods for controlling ad delivery to mobile clients while maintaining user privacy are herein provided. One exemplary method involves a location broker service. The method includes receiving, at an ad delivery service, a location use token from a mobile client, which may be a single use token. The method includes sending, from the ad delivery service, the location use token to the location broker service for verification at the location broker service. The method includes receiving, at the ad delivery service, the mobile client location from the location broker service based on the verification. The method includes delivering, from the ad delivery service, a location-targeted ad to the mobile client at the mobile client location, where the delivering is further based on a geographic density of a plurality of mobile clients. An advertiser using the ad delivery service may be billed based on location use token history.

A computer-implemented method and system for keyword bidding in a market cooperative are disclosed. A particular embodiment includes receiving a keyword bid from a first party; determining a value to a host associated with the keyword bid; augmenting the keyword bid by an amount corresponding to the value to the host; and sending the augmented keyword bid to a second party.

The present disclosure is directed to methods and systems for determining competitive market values for an ad impression on an advertiser exchange. An engine executing on a device may receive a candidate set of inputs associated with ad impressions. The engine may determine competitive market values for an ad impression on an advertiser exchange. The engine may determine candidate clearing prices based on the candidate set of inputs and history of clearing prices on the advertiser exchange. The engine may generate, based on the candidate clearing prices, a competitive market value prediction for the ad impression on the advertiser exchange. The competitive market value prediction may comprise a distribution function of predicted clearing prices on the advertiser exchange. The engine may generate, based on the competitive market value prediction, a fair market value bid for the ad impression in the context of a specific ad campaign.

The present disclosure is directed to systems and methods for programmatic digital advertisements that are personalized and uniquely targeted to individually-identified consumers via non-personal, but individually accessed devices. The consumer accessing a non-personal device is identified and data cookie pertaining to the user is created and sent to third-party programmatic advertising exchanges for the use in real time bidding, private marketplace deals, or programmatic guaranteed sales. This allows for personalized digital advertisements to be delivered to a specific user accessing a non-personal device.

In a method a web page hosting a tag script has a first area and a second area smaller than the first area. The first area contains a third area smaller than the first area. The third area is not positioned within the second area when the web page is loaded, and the third area contains a first ad content sourced from a first real-time ad bidding auction. Determining in real time via the tag script (a) whether the first ad content was loaded in the web page for a predefined time period, and (b) based on the other determining whether the third area has been scrolled into the second area as of or after the predefined time period has expired, and requesting a second real-time ad bidding auction for a second ad content to be input into the third area and replace the first ad content.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a query, receiving a set of social search results including one or more social media items that have been distributed through one or more computer-implemented services, each social media item being responsive to the query, providing a sub-set of social search results based on respective promotion scores provided in an auction, the sub-set of social search results including at least one social media item of the set of social search results, and providing the sub-set of social search results for display in a search results page, social media items of the sub-set of social search results being displayed based on respective promotion scores.

Systems and methods for improving the liquidity and distribution network for luxury and other illiquid items are provided. These systems and methods preferably include the trading of futures and options contracts, which will provide the liquidity and distribution network for luxury items. Possible embodiments of these systems and methods include the trading of futures and options contracts for diamonds and wine. Another embodiment of this invention preferably includes generating indexes for diamond prices, wine prices, luxury item prices, housing values, mortgage prepayments, privately-held companies or for anything with from sufficiently liquid points of value. Another embodiment of this invention preferably includes a centralized data base for retrieving closing and current auction prices for determining the value of, and best method for the auctioning of various items. The data provided by this data base would improve liquidity by creating greater price transparency.