An online system presenting sponsored content items to users obtains information about quality of the sponsored content items from users to whom the sponsored content items are presented. For example, a user hiding a sponsored content item or reporting a sponsored content item to the online system describe quality of the sponsored content item. By correlating ratings of a sponsored content item by professional raters with a quality ratio of number of reports of the sponsored content item by users to a sum of number of times the sponsored content item was hidden and the number of reports of the sponsored content item, the online system trains a model to determine the quality ratio for sponsored content items based on characteristics of the sponsored content items. When selecting sponsored content items for a user, the online system penalizes or subsidizes a sponsored content item based on its determined quality ratio.

Systems and methods are provided for analyzing images or video using computer vision. Data comprising real time or near real time information or historical information is retrieved that is associated with a sporting event at a physical location. A time segment is identified of a display device at the physical location for acquisition. The display device is configurable to present visual sponsorship data during the time segment for an assigned sponsor. It is determined that one or more rules are satisfied by the data. An indication is transmitted that the first rule is satisfied to a computing device of a sponsor. A bid or valuation is generated based at least on the first rule being satisfied. A request to acquire the time segment is received from the computing device of the sponsor, and the display device at the physical location is caused to present visual sponsorship data for the sponsor during the time segment.

A mediator system, which serves as a conduit between a customer and merchants, includes customer profile data. The mediator system analyzes the customer profile data, and assigns an indication to a customer represented by the customer profile data. The mediator system then provides the indication to the merchants, and then receives bids from the merchants. The bids are for establishing a connection between the merchants and the customer. The mediator system provides to a portion of the merchants, based on the bids, a connection to the customer.

Systems and methods that provide electronic bidding on digital advertising placed on non-personal digital devices in public or semi-public settings and enable subsequent consumer actions taken on other media channels and devices to be attributed to such advertising in digital ad buying systems.

One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with a sparse set of field weights associated with feature fields associated with features of the plurality of sets of auction information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. Positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon field weights, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the positive signal probabilities.

Aspects of the subject disclosure may include, for example, determining an ad play list for an Over-The-Top video stream requested by an end user device based on a price and/or a category of a creative derived from auctions with multiple Supply-Side Platform servers. The ad play list can be determined for the ad pod according to business rules, which can include a yield policy based on increasing revenue for a publisher of the video stream, and/or which can include a competitive separation policy enforced based on the category for bid responses. Other embodiments are disclosed.

A dynamically regulated advertising delivery control system. A campaign is operated by sending bids to an exchange responsive to receiving bid requests from the exchange, each bid request representing an opportunity to expose a browser to content. Won bid notifications are received from the exchange and exposure notifications are received from exposed browsers. Failed exposures are detected by detecting won bid notification identifiers without corresponding exposure notification identifiers. Responsive to the failed exposures exceeding an upper limit, the campaign is operated in a throttled mode. Responsive to detecting successful exposures in the throttled mode, the campaign is operated in a recovered mode.

One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with sparse vector representations associated with features of the plurality of sets of information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. A plurality of positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon one or more sparse vector representations, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the plurality of positive signal probabilities.

A computer system or computer-implemented process monitors a page rendering, including supplemental content rendered in one or more placement regions, for one or more viewability parameters. In response to a page event, the computer system or process selectively updates the one or more placement regions on the rendered page, based on a determination of whether the supplemental content of each placement region satisfied the one or more viewability criteria.

A system that handles delivery of a service through a client device or a secondary device paired with the client device, includes an interactive service provider and the client device. The interactive service provider inserts at least one of digital watermarks, fingerprints, and trigger identifiers at event opportunities in media content. The client device detects at least one of the inserted digital watermarks, the digital fingerprints, and the inserted trigger identifiers in the media content. The client device further renders overlay graphics on the media content and activates at least one of input devices in vicinity of the client device or the rendered overlay graphics. The client device receives trigger responses over an activated overlay graphic, via the activated input devices. The client device further displays an interactive view on the client device, to enable delivery of services in response to the received trigger responses.