A method and system for secure and private communication within a network having a first secure communication layer and a second communication layer with a filtering tunnel between which acts as a barrier and tether for enabling limited and secure communication of selected information between the two layers. The first secure communication layer comprises private user information and is connected to a first secure communication channel connected with the network, and the second communication layer comprises public user information and is connected with a second communication channel which is connected with the network. The filtering tunnel between the first secure communication layer and the second communication layer supports limited and secure communication of selected information between the first secure communication layer and the second communication layer.

Optimizing a number pool for dynamic number insertion (DNI) used for call attribution is achieved by considering physical characteristics of the DNI number assigned to a specific channel versus characteristics of consumers within that channelsuch as by determining a plurality of distinguishable consumer parameters having a business-positive correlation to a subset of numbers from among the pool of numbersin order to make more optimized DNI number assignments.

A system and method includes configuring a computer system to provide output of one or more advertisements of products to a user device of a consumer, receiving, by the computer system, one or more inputs of impressions, clicks, orders and other KPIs, estimating, by the computer system, for a click through rate (CTR) of advertisements of the products based on the inputs received, optimizing, by the computer system with an optimization module, an estimated revenue and estimated advertisement spending (Adspend) based on the CTR of advertisements, and providing, by the computer system, output of one or more advertisements of the products to the user device of the consumer for display.

A method, computer system, and computer program product for billboard aesthetics and safety rating generator are provided. The embodiment may include receiving, by a processor, a plurality of information related to a billboard. The embodiment may also include extracting specific billboard information from the received data. The embodiment may further include generating ratings on safety, aesthetics and legal conformance levels of the extracted billboard information. The embodiment may also include generating a 3D model of the billboard that incorporates updates based on the generated ratings. The embodiment may further include generating improvement recommendations designed to increase the generated ratings.

A method of utilizing Wi-Fi based passive motion detection to deliver targeted advertising through a smart TV is provided. The system uses an agent in connection with the wireless access point that the Smart TV uses to access the internet to make motion determinations. The CSI data of the access point is analyzed to identify if a user is present, if the user is stationary, the previous location of the user, and the activity the user is currently engaged in. An advertisement may be selected based on a last visited location and activity. Such advertisements may further be delivered to more engaged viewers when the advertiser pays a higher rate.

Content creation and deployment collaboration techniques are described. In one or more implementations, metadata that describes the creation of the content may be associated with the content. The content may then be provided from a content creation service to a content deployment service for deployment as part of a marketing activity. Deployment data obtained from this tracking may be utilized to support a variety of functionality, such as by content creators to determine which of their content has been successfully employed as part of marketing activities, marketers may also use knowledge of the deployment of the content to choose content to be included in a marketing activity as well as select content creators that are best suited to provide this content, used to configure badges, by retailers and manufacturers, and so forth.

A system for monitoring media exposure is provided. The system includes a remote device configured to receive a sample audio signal, to extract at least one unique parameter of the sample audio signal and to form a first dataset including data related to a presence of the unique parameter; a central device configured to receive the first dataset from the remote device, and to obtain at least one second dataset related to a presence of at least one unique parameter extracted from a media audio signal received from at least one media source; wherein the central device is further configured to evaluate correspondence between the first dataset and the second dataset and to collect data related to exposure of the remote device to the at least one media audio signal in accordance with the correspondence.

Embodiments are disclosed for a method that may include accessing events in a field-searchable data store. The events may include raw machine data associated with a timestamp. The raw machine data may represent interactions between a mobile device and one or more network devices at a locale. The method may further include determining, based on the interactions, one or more geographic positions of the mobile device, and calculating a metric for the locale using the geographic positions.

An online system monitors actions performed by users of the online system in association with being presented with content items that are associated with various categories. A histogram may be generated to describe a pattern of an action previously performed by a user in response to being presented with content items associated with a category. The online system trains a model to predict a likelihood that the user will perform the action in response to being presented with a content item associated with the category based on the pattern of the action previously performed by the user and information describing one or more recent performances of the action by the user with a content item associated with the category. The predicted likelihood may be included in a content selection process that selects one or more content items for presentation to the user.

Branded content, or a target asset, may be included in a set of ordered assets based on the category of an anchor asset. Fill rates, total views of the target asset, or a combination may be used in selecting an optimization strategy. A dual optimization may be used to reduce the burden of presentation based on historical yield rates and follow-on rates observed from category transition data. Serendipity may be incorporated in the process through use of a reserve pool of transitions.