Generating structured data from screen recordings is disclosed, including: obtaining, from a client device, a screen recording of a user's activities on the client device with respect to a task; performing, at a server, video validation on the screen recording, including by determining whether the screen recording matches a set of validation parameters associated with the task; and generating a set of structured data based at least in part on the video validation.

A system, method and article of manufacture are provided for detecting message impressions from a document. The document includes one or more data collection areas adapted to receive input, and one or more message areas. Each message area includes a message. Memory representations of messages are stored in a memory. The document is received at a document processing engine which is adapted to access the memory to obtain the representations of messages. Message impressions are detected from the document by analyzing the document in the document processing engine. Message impressions are detected if it is determined that there is relevant input in the one or more data collection areas, and the document includes a representation of one or more of the messages.

Methods and apparatus to compensate impression data for misattribution and non-coverage are disclosed. An example method includes receiving a first request from a first type of computing device; sending a request for demographic information corresponding to requests received at a first internet domain from the first type of computing device; generating an aggregated audience distribution including a first audience distribution of a first household aggregated with a second audience distribution of a second household; normalizing the aggregated audience distribution to generate a misattribution correction matrix, the misattribution correction matrix including a probability that an impression of the media is attributable to a first demographic group when the database proprietor determines the impression corresponds to a person in a second demographic group; and compensating misattribution error in the impressions by re-assigning the impressions from the second demographic group to the first demographic group using the misattribution correction matrix.

Systems and methods for dynamically tracking delivery and performance of digital advertising placed on non-personal devices in physical locations and integrating, displaying, and reporting impressions and events in digital advertising systems.

A method of determining content effectiveness, predicting content engagement, and recommending actions related to content is carried out by a content management system. The content management and analysis system analyzes a piece of content submitted by a user, determines a desired outcome for the piece of content, determines an audience engagement for the piece of content, tracks an audience behavior for the piece of content, determines a target persona related to the piece of content, determines a likely intent of the target persona related to the piece of content, and assigns a value to the piece of content based on a content effectiveness determined from the desired outcome, the audience engagement, the audience behavior, and the target persona. A user interface can include a dashboard interface that displays one or more pieces of content and an effectiveness score for each of the one or more pieces of content.

According to an embodiment, a data processing method comprises obtaining a first record associated with a first computer and a second record associated with a second computer that is different than the first computer; in response to determining that the first record has been obtained from a primary source, determining that at least a first set of key information in the first record matches a second set of key information in the second record, and in response thereto: creating and storing a master record comprising a union of the first record and the second record; using the master record to determine one or more electronic offers to present to any of a user, a computing device, or an account that is associated with the master record.

The present disclosure is directed to generating animated images for presentation by a dynamic keyboard interface. In particular, the methods and systems of the present disclosure can: receive data describing advertisement content, and data describing a first context in which to present the advertisement content; generate data describing a first animated image including at least a portion of the advertisement content; determine a second context in which to present the advertisement content; generate data describing a second animated image including at least a portion of the advertisement content; and communicate, to one or more user devices on which one or more applications are executed, data indicating a plurality of different animated images for presentation by a dynamic keyboard interface in association with the one or more applications, the plurality of different animated images comprising the first animated image and the second animated image.

Systems and methods for Artificial Intelligence (AI)-based analysis of oral reviews are provided. An example method includes prompting a user to provide an oral review concerning a subject; providing the user with an interface configured to receive the oral review; receiving, via the interface, the oral review concerning the subject in a free format; generating, based on the oral review, a text for review and presenting the text for review to the user; and providing, to the user, an option to publish the text for review via at least one social media. Generating the text for review may include removing filler words from the oral review and converting the oral review from the free format to a format according to a grammar rule of at least one human language.

Methods, apparatus, systems, and articles of manufacture are disclosed that decode purchase data using an image. An example apparatus includes a dictionary including associated product descriptions and barcodes, interface circuitry, and processing circuitry to execute machine readable instructions to obtain purchase details and barcodes corresponding to a receipt, the purchase details including receipt product descriptions, generate a search query that includes a first receipt product description of the receipt product descriptions, a list of barcodes corresponding to the barcodes, and a store identifier associated with the receipt, execute a search against the dictionary using the search query to identify a barcode from the list of barcodes that corresponds to the first receipt product description, and in response to identifying the barcode that corresponds to the first receipt product description, associating the barcode and the first receipt product description and adding the association to the dictionary.

A system and process to create a lookalike model for a target audience to deliver advertisements are disclosed. According to one embodiment, the method comprises selecting survey data from a survey database that relates to an advertisement. A heterogenous treatment effect (HETE) model is trained on the survey data. Persuadable customers are identified from the survey database for the advertisement based on the HETE model. An optimized customer list is generated using personally identifiable information.