Implementing and applying a database with radio station information that is gathered from client devices as stations become available to a plurality of users (i.e., “crowd sourced” radio station information) and allowing for a client device to download only the radio station information that is pertinent to the travel route of the user and/or radio station selection criteria associated with the client device or the user. Radio station information can be rendered via a graphical interface of a client device to allow the user to informatively select a new radio station, either before or as a current radio signal degrades to the point of being unusable. Radio station information may be rendered to cause the user's terrestrial radio to tune to a new station.

A consumption probability metric may be generated for a media asset. An aggregated forecast predicting user consumption of a media asset is received. A plurality of probabilities, each corresponding to a user of a plurality of users, is received, each indicating how likely a respective user is to consume the media asset. A weight for the plurality of users is calculated representing a ratio of the total number of users to a number of users in the plurality of users. A disaggregated forecast predicting user consumption of a media asset is determined based on the weight for the plurality of users and the plurality of probabilities. A modification factor is computed based on the aggregated forecast and the disaggregated forecast. A metric is generated that includes a plurality of user identifiers associated with the plurality of users and a plurality of modified probabilities each modified by the modification factor.

A consumption probability metric may be generated for a media asset. An aggregated forecast predicting user consumption of a media asset is received. A plurality of probabilities, each corresponding to a user of a plurality of users, is received, each indicating how likely a respective user is to consume the media asset. A weight for the plurality of users is calculated representing a ratio of the total number of users to a number of users in the plurality of users. A disaggregated forecast predicting user consumption of a media asset is determined based on the weight for the plurality of users and the plurality of probabilities. A modification factor is computed based on the aggregated forecast and the disaggregated forecast. A metric is generated that includes a plurality of user identifiers associated with the plurality of users and a plurality of modified probabilities each modified by the modification factor.

Implementing and applying a database with radio station information that is gathered from client devices as stations become available to a plurality of users (i.e., “crowd sourced” radio station information) and allowing for a client device to download only the radio station information that is pertinent to the travel route of the user and/or radio station selection criteria associated with the client device or the user. Radio station information can be rendered via a graphical interface of a client device to allow the user to informatively select a new radio station, either before or as a current radio signal degrades to the point of being unusable. Radio station information may be rendered to cause the user's terrestrial radio to tune to a new station.

Implementing and applying a database with radio station information that is gathered from client devices as stations become available to a plurality of users (i.e., “crowd sourced” radio station information) and allowing for a client device to download only the radio station information that is pertinent to the travel route of the user and/or radio station selection criteria associated with the client device or the user. Radio station information can be rendered via a graphical interface of a client device to allow the user to informatively select a new radio station, either before or as a current radio signal degrades to the point of being unusable. Radio station information may be rendered to cause the user's terrestrial radio to tune to a new station.

Systems and methods are provided for determining a media cost equivalent to attribute to the appearance of a sponsor's logo or other object in a media item, such as an image or video. This determination may be based on factors such as clarity, prominence, visibility, size, or placement of a sponsor logo or other object related to the sponsor within at least one media item. One or more machine learning models may be utilized to automatically identify objects within, and otherwise analyze, image data in order to determine sponsor value.

A scientific system and methods are disclosed for optimizing television (e.g., “CTV” and “OTT”) advertising and related expenditure to maximize efficiency and return on investment (“ROI’) for advertisers. The scientific system comprises an initial-feedback engine that develops and refines creatives or outcomes by creating and using an artificial intelligence (“AI”) engine that creates an initial feedback loop from social media platforms and subsequently uses an intelligent advertisement-selection engine that takes the highest performing advertising on the social media platforms and directs or imports them for connected television or over-the-top advertising. The system includes a performance engine that optimizes performance of the connected television and over-the-top advertising and then moves the winning combination of a creative or outcome resulting from the application inventory, the audience segment, the part of day, the frequency or the like to linear television purchase actions.

A scientific system and methods are disclosed for optimizing television (e.g., “CTV” and “OTT”) advertising and related expenditure to maximize efficiency and return on investment (“ROI’) for advertisers. The scientific system comprises an initial-feedback engine that develops and refines creatives or outcomes by creating and using an artificial intelligence (“AI”) engine that creates an initial feedback loop from social media platforms and subsequently uses an intelligent advertisement-selection engine that takes the highest performing advertising on the social media platforms and directs or imports them for connected television or over-the-top advertising. The system includes a performance engine that optimizes performance of the connected television and over-the-top advertising and then moves the winning combination of a creative or outcome resulting from the application inventory, the audience segment, the part of day, the frequency or the like to linear television purchase actions.

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.

Example methods and systems for modifying the playback of content using pre-processed profile information are described. Example instructions, when executed, cause at least one processor to access a media stream that includes media and a profile of equalization parameters, the media stream provided to a device via a network, the profile of equalization parameters included in the media stream selected based on a comparison of a reference fingerprint to a query fingerprint generated based on the media, the profile of equalization parameters including an equalization parameter for the media; and modify playback of the media based on the equalization parameter specified in the accessed profile.