Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.

Methods and apparatus to correct for deterioration of a demographic model to associate demographic information with media impression information are disclosed. An example method includes estimating first and second ages of audience members based on demographic information; estimating a third age of an audience member who is not included in the audience members; applying a window function to the second ages to determine a distribution of ages based on the third age; multiplying window values by the first ages to determine corrected first age components; dividing a total of the corrected first age components by a sum of the window values to determine an estimated age of the audience member at a first time; and determining the corrected age of the audience member at a second time based on the estimated age of the audience member at the first time and a time difference between the first and second times.

Systems, methods, and computer-readable media are disclosed for modeled advertisement conversion attributions. An example method may include receiving first input data comprising first advertisement impression data and first advertisement conversion data, wherein the first input data includes one or more user identifiers associated with both the advertisement impression data and advertisement conversion data. The example method may also include training one or more machine learning models using the first input data. The example method may also include receiving second input data comprising second advertisement impression data, wherein user identifiers are unavailable for the second input data. The example method may also include determining, using the one or more machine learning models, second predicted conversion data associated with the second input data.

Computer-implemented systems and methods for automatic generation of livestream carousel widgets are disclosed and may be configured to retrieve a plurality of candidate livestreams based on first data related to one or more users and second data related to a plurality of livestreams, organize the retrieved plurality of candidate livestreams, input third data related to a first user and fourth data related to the retrieved plurality of candidate livestreams into a ranking model, output, from the ranking model, a value for each livestream of the organized plurality of candidate livestreams, based on the outputted value for each livestream, determine a rank for each livestream of the organized plurality of candidate livestreams, generate a livestream carousel widget including a number of candidate livestreams based on the determined rank, and transmit the generated livestream carousel widget for display on a user interface associated with the first user.

An auto-login system and process enable maintaining user accounts on a server without a user having to register or create a user name, password, or other authentication method. An account may be created without user knowledge. The server may transmit a content item to a target user, along with a link. A server identifies the target user from use of the auto-login link and collects interaction or engagement data while the user is logged in, to assess user interest in products, for example, a mutual fund investment product, which may be characterized by tags and/or categories. The system may quantify a product salience metric for a given product relative to a target user's interest profile to focus marketing efforts and support engagement with interested target users, especially securities funds and financial advisors.

Methods, apparatus, systems and articles of manufacture to estimate and deduplicate audiences are disclosed herein. An example apparatus includes a controller to determine a subunion of at least first and second marginal audiences of media based on of panel data and census data, the panel data including a panel impression count and a panel audience size, and the census data including a census impression count, an audience size calculator to determine a census audience size of the at least the first and second marginal audiences based on the panel impression count and the panel audience size and determine a subunion census audience size, the subunion census audience size corresponding to an overlap between the at least the first and second marginal audiences; and a report generator to generate a report including the census audience size and the subunion census audience size.

A method and device, in an embodiment, are operable or usable to execute a plurality of computer-readable instructions after a start of a publication period of an advertising campaign. The advertising campaign includes a publication schedule related to an ad, and the publication schedule includes at least one publication slot. The advertising campaign specifies a plurality of publications of the ad according to the publication schedule. The computer-readable instructions are configured to direct one or more processors to perform a plurality of steps during the publication period. The steps include performing an audience assessment step at different times. Each of the audience assessment steps includes the processing of data stored in a data source. Each of the audience assessment steps results in an audience level that has been assessed for at least one of the publications that has been published. With respect to each of the audience assessment steps, the embodiment involves comparing the audience level to a threshold audience level, determining an audience metric based on the comparison of the audience level to the threshold audience level, and indicating the audience metric. The audience metric is variable depending on a variation in the data that is processed during the audience assessment steps.

A system for identifying products in a retail store is provided. The system may include a processor configured to: receive an image depicting a store shelf and a product displayed thereon; select a product model subset based on a characteristic of the store shelf determined based on analysis of the image; determine whether the product model subset is applicable to the product; and when the product model subset is applicable to the product, analyze a representation of the product depicted in the image using the product model subset, and identify the product based on the analysis of the representation of the product.

A viewpoint position heat map illustrating a distribution status of viewpoint positions of users viewing a content is generated to enable content and advertisement distribution control by using the heat map. A server transmits, to a client, a free viewpoint video content that allows video to be observed in accordance with a viewpoint position and a sight line direction. The client generates viewing status information including temporal sequence data of the viewpoint positions and sight line directions of the users viewing the content, and transmits the viewing status information to the server. The server receives the viewing status information from a plurality of clients, and generates a viewpoint position heat map illustrating a distribution status of the viewpoint positions of the viewing users, and a gaze point position heat map illustrating a distribution status of gaze point positions of the viewing users.

A system may include a database configured with individual partitions, one of the partitions corresponding to a sponsored content campaign of a social network. The system may further include multiple servers each communicatively coupled to the database, and each configured to implement a campaign having a campaign termination criterion. Each of the servers may include a processor configured to track sponsored content event data received from a user device based on the campaign and transmit the event data to the database and terminate the campaign based on a comparison of the event data as received from a partition of the database corresponding to the campaign and an estimation of event data not received from the database. The database may be configured to store the event data as received from the servers in the partition corresponding to the campaign upon receipt of the event data.