Systems and methods relate to targeted display of media content, including a device that includes a memory having program instructions stored therein; and at least one processor configured to execute the program instructions to control the device to: connect via a wide area network to a remote system, receive a rule set or an artificial intelligence (AI) model from the remote system, select media content from a plurality of media content based on applying demographics data to the rule set or AI model, and cause, based on an output of the rule set or AI model, a display, that is local to the device, to display the media content.

Methods, systems and apparatus for identifying illegitimate selections of content items. In some implementations, one or more servers can receive display data specifying a display state of a web page in a viewport. The web page includes a content item. Display instances are identified. A display instance is a display of at least a portion of the content item in the viewport. Selection instances of the content item are identified. A selection instance is a selection of the content item. The server(s) determines whether a selection of the content item occurred during a display of at least a portion of the content item in the viewport based on the display instances and the selection instances. A selection of the content is defined as an illegitimate selection if the selection did not occur during a display of at least a portion of the content item in the viewport.

The present disclosure provides methods, systems, and computer-readable media for performing at least the following: receiving a specification of a geolocation; receiving content to be associated with the geolocation; associating the geolocation with the content; defining a delivery condition for delivering the content, the delivery condition comprising a course of travel of a mobile computing device; receiving a first indication associated with a first location of a mobile computing device; determining that the first location is within a radius of the geolocation; receiving a second indication associated with a second location of the mobile computing device; determining the course of travel of the mobile computing device based on a comparison of the first location to the second location; and transmitting, when the delivery condition is met, the content associated with the geolocation.

A closed loop attribution system may include a user location history storage system containing information indicative of user location history for a plurality of users based on location of a mobile device associated with a user; a user database storage system containing placement tracking information indicative of advertising content presented to the user; and a closed loop attribution processor responsive to said user location history storage system and said user database storage assessing correlations between a user's exposure and a user's location. The user database may include records indicative of user behavior and characteristics. The closed loop attribution processor may be connected to the campaign database and the campaign database may contain an indication of one or more locations of interest to an advertiser. The correlation between user exposure and a user's location may be a correlation between user exposure and the location or locations of interest.

A method for identifying causal impact of introducing digital channels and enhancements, the method comprising identifying digital channels associated with online monitoring of interactions with consumers by an advertiser, identifying online metrics for assessment associated with the digital channels, determining a Bayesian time-series model for the data based on the identified online metrics, analyzing causality impact of an intervention for one or more paid digital and organic digital channels using the Bayesian time-series model, matching the advertiser to a classification code by using a data append function via an application program interface (API) or by correlating bid keywords associated with the advertiser to the classification code, benchmarking the causality impact against peer advertisers based on the classification code, and generating a report including a causality assessment of the online metrics for the one or more paid digital and organic digital channels based on the causality impact and the benchmarking.

The present disclosure may provide a stand-alone application, API, or SDK, configured to, for example, but not be limited to: i) register digital assets, physical assets, virtual assets, brand assets, media assets, and mobile assets associated with a platform user; ii) associate content to be delivered in response to an activation of those assets, including interactivity criteria, if applicable; iii) specify triggers for delivering the content and target consumer profiles for receiving the content; and iv) transmit content for engaging the consumer at the right time and/or place, with the targeted profile, and v) track user engagement and provide analytics on consumer engagement.

A method for maximizing the number of users who receive an optimal number of ad impressions. The method may be implemented for a bidding agent or in connection with a system for augmenting ad placement data across bidding platforms that bid on ad opportunities in a real-time bidding ad exchange. The system is able to use tracking pixels in order to optimize bid placements. The system is intended to manage user ad placement so as to increase the number of placements received by individual users so that the campaign has an increased impact on eligible users and reduces the diluted exposures to users who receive less than optimal exposure.

A system and method customizing a display of a user device based on multimedia content elements. The method may include detecting a trigger event; identifying a user profile of the user device, wherein the user profile includes one or more signatures indicating a user interest; accessing signatures for a plurality of multimedia content elements; comparing the signatures of at least one of the plurality of multimedia content elements with the one or more signature of the user profile; and customizing the display of the user device, wherein the customized display includes the at least one interesting multimedia content element.

The disclosure includes a system and method for generating virtual reality content. For example, the disclosure includes a method for generating virtual reality content that includes a stream of three-dimensional video data and a stream of three-dimensional audio data with a processor-based computing device programmed to perform the generating, providing the virtual reality content to a user, detecting a location of the user's gaze at the virtual reality content, and suggesting an advertisement based on the location of the user's gaze. Another example includes receiving virtual reality content that includes a stream of three-dimensional video data and a stream of three-dimensional audio data to a first user with a processor-based computing device programmed to perform the receiving, generating a social network for the first user, and generating a social graph that includes user interactions with the virtual reality content.

According to one aspect of the present disclosure, a method is provided for advertising on a content-screened web page. The method includes receiving an impression request for a URL for which an advertising impression is desired; screening HTML content of a web page identified by the URL; generating a rating for the URL based on the HTML content of the web page; assigning the rating to the impression request; and serving an advertising impression on the web page based on the rating.