Abstract: This disclosure provides various techniques that may allow for tracking how a user interacts with content. For example, a user may interact with various types of content, such as web pages, applications, text, multimedia, or any other type of content. In one example of web page content, for example, this disclosure provides that executable code may be included with a web page and run on a user's system (e.g., via a web browser). The code may be capable of monitoring which content is visible in a viewport of the web browser, when the content is visible, and what part of the viewport contains the content. This monitoring data may be used to measure user interaction or engagement with the content.

Abstract: This disclosure provides various techniques that may allow for tracking how a user interacts with content. For example, a user may interact with various types of content, such as web pages, applications, text, multimedia, or any other type of content. In one example of web page content, for example, this disclosure provides that executable code may be included with a web page and run on a user's system (e.g., via a web browser). The code may be capable of monitoring which content is visible in a viewport of the web browser, when the content is visible, and what part of the viewport contains the content. This monitoring data may be used to measure user interaction or engagement with the content.

Abstract: Disclosed are some examples of systems, apparatus, methods and storage media for providing customized recommendations to users. Some implementations more particularly relate to a recommendation platform that enables authorized third parties to create, customize and add new recommendations that are then available to be served to target users or audiences of users. Some implementations further relate to a recommendation platform that enables authorized users to define audiences, scheduling settings, scheduling policies, and rules to customize or influence the provision of associated recommendations to the users. The recommendation platform includes a recommendation engine that serves the recommendations to users based on such defined audiences, scheduling settings, policies or other rules.