A system and related devices and methods facilitating orchestration of page composition based on performance of one or more portions of the page are disclosed herein. An exemplary system may comprise a first device and a second device. An exemplary method may comprise providing to a client device, a first portion of a requested page while waiting for one or more service calls required to render a second portion to return, and after a time at which the one or more service calls required to render the second portion return, providing the client device with the second portion, the one or more service calls required to render the second portion having a higher latency than any service calls required to render the first portion.

A query session system and method is operable to determine a current location of a consumer conversation acquisition system when the consumer conversation acquisition system is a mobile electronic device or determine a current operation of the consumer conversation acquisition system when the consumer conversation acquisition system is stationary. Stored state information corresponding to the determined location or operation is accessed that identifies one of a receptive state of the consumer, an unreceptive state of the consumer, or optionally an indeterminate state of the consumer. The query session is presented to the consumer when the consumer is the receptive state. A query session presents a series of audible questions to the consumer that pertain to a subject media content event that the consumer has previously consumed. Responses of the consumer to each one of the presented audible questions of the query session are acquired and are saved.

Systems and methods for assessing the veracity of content are described. The method may include determining a truth rating for each of a plurality of factual claims in a document, generating a veracity score for the document based on the truth rating for each of the identified plurality of factual claims, generating a meta-data score for the document based on metadata of the document, and generating a content structure score for the document. The method may then include generating a reliability index for the document based on the veracity score and the meta-data score and presenting the scores and the overall reliability index to a user via a user application.

Disclosed is a configuration to capture content objects contained within a web page. The configuration receives a content object via a user account, the web browser to retrieve the web page, the web page having a content object, the content object having information visibly perceptible through the web page and metadata corresponding to a hyperlink and assigns a unique identifier to the content object. The configuration determines whether the content object is pre-existing in a computing storage of the management system. The configuration then stores the content object if the content object is not pre-existing in the management system or creates an association between the content object that is pre-existing in the management system and the assigned unique identifier. The configuration allows for access, by a third party, to the content object in the management system.

A system and a method for automatically collecting content, the method comprising the steps of: defining a plurality of content sites, creating a collection of virtual agents data including user characteristic data and user behavioral data, presenting the collection of virtual agents to the plurality of content sites; receiving content from the visited internet site; and storing the received content or presenting it to a user.

An example apparatus disclosed herein includes a data input interface to access different sets of initial adjustment factors, the initial adjustment factors generated to correct at least one of misattribution or non-coverage of media impressions logged by a database proprietor, a grouping controller to identify a first set of the initial adjustment factors as a set of donor adjustment factors based on (a) first audience members associated with the set of donor adjustment factors satisfying a first threshold and (b) first impressions associated with the first audience members satisfying a second threshold, and identify a second set of the initial adjustment factors as a set of recipient adjustment factors, and an imputation factor generator to generate imputation factors to correct ones of the recipient adjustment factors based on ones of the donor adjustment factors.

Methods, apparatus, systems and articles of manufacture are disclosed to generate computer-trained machine learning models to correct computer-generated errors in audience data. An example apparatus includes a query selector to select a plurality of features and a range of hyperparameters; a query generator to generate a plurality of machine learning models based on the plurality of features and the range of hyperparameters, and initiate training of the plurality of machine learning models based on demographic data in a privacy-protected cloud environment, the demographic data obtained from database proprietor user accounts corresponding to audience measurement panelists; and a model selector to select a first machine learning model from the plurality of machine learning models.

Methods and apparatus to generate audience metrics using third-party privacy-protected cloud environments. An example apparatus includes a data modifier to obtain a first matrix, the first matrix including first data indicative of entities and embeddings, the entities representative of at least one of search result clicks or videos watched, the embeddings representative of at least one of first classifications of the search result clicks or second classifications of the videos watched, generate a second matrix by reducing the first data in the first matrix to second data that satisfies a size corresponding to an input feature, and store the second matrix in first memory as the input feature, and a model generator to generate a demographic correction model based on the second matrix as the input feature, the demographic correction model to correct demographics corresponding to impressions logged in second memory.

Methods, apparatus, systems, and articles of manufacture are disclosed to adjust demographic information of user accounts to reflect primary users of the user accounts. An apparatus comprising: memory; and processor circuitry to execute instructions that causes the processor circuitry to at least: determine a first total score for a first panelist associated with a panelist user account based on at least one of a first impression score, a first age score, or a first gender score; determine a second total score for a second panelist associated with the panelist user account based on at least one of a second impression score, a second age score, or a second gender score; and in response to determining that the first total score satisfies a threshold, store demographics of the first panelist for the panelist user account.

An example apparatus disclosed herein includes a panelist detector to identify audience measurement panelists associated with database proprietor accounts, a sign-in rate calculator to determine an actual sign-in rate of the audience measurement panelists based on first impressions represented in database proprietor impressions data and second impressions represented in panel data, an adjustment factor generator to determine a first audience adjustment factor corresponding to a first sign-in rate and a second audience adjustment factor corresponding to a second sign-in rate, and a weighting controller to generate a first weighted audience adjustment factor and a second weighted audience adjustment factor by weighting the first and second audience adjustment factors by the actual sign-in rate, the adjustment factor generator to determine a signed-out adjustment factor based on the first and second weighted audience adjustment factors.