Abstract: A method for determining present or future trends, and providing a recommendation based on those trends includes receiving raw data from one or more sources, where the raw data is data which has not been cleaned or normalized, cleaning and normalizing the raw data, creating historic data via machine learning, comparing the cleaned and normalized data with the historic data, generating a model based on the compared cleaned and normalized data and the historic data, wherein the model generates one or more determinations, and providing the one or more determinations for use by a recommendation engine or a user. Additionally, a method of collecting specific data includes receiving a survey and additional information provided by a panelist on a mobile application, filtering and organizing the panelists, storing the collected information, providing the stored data to a server for cleaning and normalizing, and providing the panelist with rewards.

Abstract: A method for processing media data includes receiving metadata associated with media data; identifying another metadata associated with another media data, wherein the size of the media data is smaller than the size if the another media data; determining a score based on the metadata and another metadata, wherein the score is within a threshold level; and presenting information associated with a product or service associated with the another media data.

Abstract: Techniques to provide content based on detected ambient media are disclosed. In various embodiments, a set of audio features extracted from audio data associated with an audio environment with which a client device is associated are received from the client device. A stored media signature data generated based on media content data from a source other than the client device is used to detect, based at least in part on the set of audio features, a media channel and program that is being played in the audio environment. A secondary content that is selected based at least in part on a semantic content data associated with the detected media channel and program is provided.

Abstract: A computer-implemented method includes detecting a presence of a subject in a vicinity of radio transceivers based on radio signal strength variations received at an input of the radio transceivers as a radio signature, so as to recognize the presence of the subject in an indoor environment by analyzing and quantifying irregularities in the radio signature, wherein the detecting the presence does not incorporate sensors for subject detection, and only performs the detecting based on radio irregularity phenomenon, without modifying the indoor environment; and mixing the detected presence of the subject with viewership datasets derived from an audience measurement source, to generate rich result datasets that provide insights on media exposure at a personal and household level, and to assign personal viewership insights to the household audience observation, without sacrificing personal privacy of the subject, and without requiring additional hardware or detection signals.

Abstract: Techniques to coordinate ambient media detection are disclosed. A request to become active in performing media detection processing with respect to the audio environment is received from a first ambient media detection agent associated with an audio environment. A response denying the request is sent to the first ambient media detection agent if it is determined that a second ambient media detection agent associated with the audio environment currently is active in performing media detection processing with respect to the audio environment.

Abstract: A method for processing media data includes receiving metadata associated with media data; identifying another metadata associated with another media data, wherein the size of the media data is smaller than the size if the another media data; determining a score based on the metadata and another metadata, wherein the score is within a threshold level; and presenting information associated with a product or service associated with the another media data.

Abstract: Techniques to provide content based on detected ambient media are disclosed. In various embodiments, a set of audio features extracted from audio data associated with an audio environment with which a client device is associated are received from the client device. A stored media signature data generated based on media content data from a source other than the client device is used to detect, based at least in part on the set of audio features, a media channel and program that is being played in the audio environment. A secondary content that is selected based at least in part on a semantic content data associated with the detected media channel and program is provided.

Abstract: A method for processing media data includes receiving metadata associated with media data; identifying another metadata associated with another media data, wherein the size of the media data is smaller than the size if the another media data; determining a score based on the metadata and another metadata, wherein the score is within a threshold level; and presenting information associated with a product or service associated with the another media data.

Abstract: Techniques to coordinate ambient media detection are disclosed. A request to become active in performing media detection processing with respect to the audio environment is received from a first ambient media detection agent associated with an audio environment. A response denying the request is sent to the first ambient media detection agent if it is determined that a second ambient media detection agent associated with the audio environment currently is active in performing media detection processing with respect to the audio environment.

Abstract: A computer-implemented method includes activating ACR (Automatic Content Recognition) functionalities through a voice command in an audio file received by a virtual assistant, processing the audio file to improve the audio file's quality, analyzing the processed audio file by querying a content recognition system using a media consumption profile associated with a user associated with the audio file, and providing a response to the voice command including a list of recommendations.

Abstract: A computer-implemented method includes activating ACR (Automatic Content Recognition) functionalities through a voice command in an audio file received by a virtual assistant, processing the audio file to improve the audio file's quality, analyzing the processed audio file by querying a content recognition system using a media consumption profile associated with a user associated with the audio file, querying other available datasets for supplemental information, and providing a response to the voice command including program topics or supplemental information for related information.

Abstract: A computer-implemented method includes receiving a recorded audio signal recorded through an interface associated with the mobile application, adding metadata through the mobile application, confirming the metadata, receiving audio recorded from a nearby source, processing the recording based on significant features, generating digital audio fingerprints, submitting the fingerprints to a server, and detecting a type of content or media associated with the received fingerprint to provide a rich result dataset with different tagged content and metadata structures.

Abstract: A computer-implemented method includes providing an online mobile application to a plurality of users being selected based on one or more qualifications or associations, receiving a recorded audio signal recorded through an interface associated with the mobile application, adding metadata through the mobile application, and detecting a type of content or media associated with the received recorded audio signal and adding additional metadata based on a content type associated with a metadata structure, to provide a rich result dataset with different tagged content and metadata structures.

Abstract: Techniques to provide content based on detected ambient media are disclosed. In various embodiments, a set of audio features extracted from audio data associated with an audio environment with which a client device is associated are received from the client device. A stored media signature data generated based on media content data from a source other than the client device is used to detect, based at least in part on the set of audio features, a media channel and program that is being played in the audio environment. A secondary content that is selected based at least in part on a semantic content data associated with the detected media channel and program is provided.

Abstract: A computer-implemented method includes detecting a presence of a subject in a vicinity of radio transceivers based on radio signal strength variations received at an input of the radio transceivers as a radio signature, so as to recognize the presence of the subject in an indoor environment by analyzing and quantifying irregularities in the radio signature, wherein the detecting the presence does not incorporate sensors for subject detection, and only performs the detecting based on radio irregularity phenomenon, without modifying the indoor environment; and mixing the detected presence of the subject with viewership datasets derived from an audience measurement source, to generate rich result datasets that provide insights on media exposure at a personal and household level, and to assign personal viewership insights to the household audience observation, without sacrificing personal privacy of the subject, and without requiring additional hardware or detection signals.

Abstract: A computer-implemented method includes activating ACR (Automatic Content Recognition) functionalities through a voice command in an audio file received by a virtual assistant, processing the audio file to improve the audio file's quality, providing context information to the virtual assistant, locating supplemental information associated with the context information, and presenting a response to the voice command based on the supplemental information and context information.

Abstract: Techniques to coordinate ambient media detection are disclosed. A request to become active in performing media detection processing with respect to the audio environment is received from a first ambient media detection agent associated with an audio environment. A response denying the request is sent to the first ambient media detection agent if it is determined that a second ambient media detection agent associated with the audio environment currently is active in performing media detection processing with respect to the audio environment.

Abstract: Techniques to select content based on ambient media detection are disclosed. In various embodiments, a received set of audio features associated with an audio environment and a stored media signature data are used to detect, based at least in part on the set of audio features, a media channel and program that is being played in the audio environment. Stored data associating one or more advertising or other classification codes with the detected media channel and program is used to determine an advertising or other classification code. The determined advertising or other classification codes to select and provide to a target device associated with the audio environment a secondary content.

Abstract: Techniques to provide content based on detected ambient media are disclosed. In various embodiments, a set of audio features extracted from audio data associated with an audio environment with which a client device is associated are received from the client device. A stored media signature data generated based on media content data from a source other than the client device is used to detect, based at least in part on the set of audio features, a media channel and program that is being played in the audio environment. A secondary content that is selected based at least in part on a semantic content data associated with the detected media channel and program is provided.

Abstract: Techniques to coordinate ambient media detection are disclosed. A request to become active in performing media detection processing with respect to the audio environment is received from a first ambient media detection agent associated with an audio environment. A response denying the request is sent to the first ambient media detection agent if it is determined that a second ambient media detection agent associated with the audio environment currently is active in performing media detection processing with respect to the audio environment.