A computer implemented method includes allocating to an advertisement campaign, planned bookings for certain time periods and for certain digital displays from an Out Of Home inventory. The method also allocates, by a real-time bidding process, unplanned bookings to the time periods. Forecasts of unplanned bookings demand are taken into account in allocating planned bookings.

In various example embodiments, a system and method to provide status indictors on an image galley is disclosed. At least one item to be displayed in an image gallery on a client device is identified. Once identified, status information for the item is obtained. Subsequently, gallery rendering and display instructions are generated and transmitted to the client device. The rendering and display instructions include the status information and enables generation of status indicators from the status information for display over the image gallery at the client device. The rendering and display instructions may also include instructions for displaying the image gallery. The status information at the client device may be updated as status information changes.

Described herein are methods and systems for generating a mobile device-specific identifier usable across native mobile applications and mobile browsers with a unified opt-out mechanism. A mobile device generates a transient identifier for the mobile device and maps the transient identifier to a stable identifier of the mobile device using at least one call to a service endpoint coupled to the mobile device via a communications network. A browser application on the mobile device renders a webpage, the webpage comprising first instructions, executed by the browser application, to retrieve the stable identifier of the mobile device using at least one call to the service endpoint coupled to the mobile device via a communications network.

Representative embodiments set forth techniques for managing advertisement auctions on a client device. The method can include the steps of (1) receiving, from a server device, a plurality of objects, where each object is associated with a respective digital asset, and each object includes, in association with the respective digital asset (i) a server-derived digital asset vector, (ii) a server-derived predicted tap-through rate, and (iii) a bid amount. In turn, and for each object of the plurality of objects, the client device (2) generates a respective estimated cost per impression for the object based on the information provided by the server device as well as information derived by the client device. Subsequently, the client device (3) identifies, among the plurality of objects, the object associated with the highest respective estimated cost per impression, and (4) causes an advertisement for the respective digital asset associated with the identified object to be displayed.

A system for automatic matching search advertisement based on a product includes an advertising server configured to be accessible by at least one affiliate server and provide the affiliate server with a product-based automatic matching advertising interface, a text analysis apparatus configured to generate at least one text-based product attribute value corresponding to selected product advertising information by analyzing text information corresponding to the product advertising information selected by the affiliate server while operating in conjunction with the advertising server and to provide the at least one text-based product attribute value, and at least one user terminal having a product search application provided by the advertising server and installed therein, and connected to the advertising server over a network.

A system and method for creation, distribution and tracking of advertising via electronic networks, enabling creation of advertisements using licensed third party content and placement of said ads at desired network locations, utilizing an auction of ad spaces based on bids placed by advertisers to have their ads displayed at such locations. When a network user/ad viewer requests an ad by clicking or other action, an auction algorithm executes to select the ad to be displayed from those that bid for display at such ad space location and then the ad is composed and delivered to the ad space location by accessing a relational database storing commands that retrieve, assemble and dispatch the licensed ad content. Usage and display of licensed content on designated ad space is tracked to enable cost-er-use charging for both use of licensed content and ad display at the designated ad space.

A content clarification server receives at least one language element entered by a user into a client computer, where the user works in a first area of specialization. The content clarification server extracts a set of concepts found in the at least one language element, and launches an auction bidding process for replacing original language in the at least one language element to content clarification providers who provide replacement language that clarifies a meaning of the at least one language element. The content clarification server filters out replacement language from content clarification providers that work in a second area of specialization that is different from the first area of specialization in which the user works, and identifies winning replacement language, from the filtered out replacement language, for the original language from one of the content clarification providers. The content clarification server replaces the original language with the winning replacement language.

A facility for presenting advertising messages on behalf of multiple advertisers is described. The facility determines allocations that each specify a share for an advertiser, the specified shares all being different. The facility causes advertising messages to be presented on behalf of the advertisers in accordance with the shares specified by their allocations.

The present disclosure relates to systems, non-transitory computer-readable media, and methods to generate sketches for clearing-bid values and bid-success rates based on multi-dimensional targeting criteria for a digital-content campaign and dynamically determine predicted values for the digital-content campaign based on the sketches. To illustrate, the disclosed systems can use a running-average-tuple-sketch to generate tuple sketches of historical clearing-bid values and tuple sketches of historical bid-success-rates from historical auction data. Based on the tuple sketches, the disclosed systems can determine one or more of a predicted cost per quantity of impressions, a predicted number of impressions, or a predicted expenditure for the digital-content campaign—according to user-input targeting criteria and expenditure constraints.

One or more computing devices, systems, and/or methods for generating dynamic content item recommendations are provided. Content item information, extracted from message data, is aggregated to calculate popularity and attributes of content items. The content items are ranked based upon the popularity and attributes to generate a ranked list of content items. Exploration traffic is served utilizing a set of eligible content items selected from the ranked list of content items. An eligible content item is promoted for participation in auctions for serving non-exploration traffic based upon the eligible content item being served a threshold number of times.