Abstract: In various implementations, a keyword assignment and predictive intelligence model scrapes content of web pages and stack ranks them according to a coordinates-based embedding system. The model further analyzes weblog data associated with user identifiers and stack ranks those user identifiers according to keywords associated with the weblog data. In particular embodiments, machine learning is applied to account for the entire web journey associated with the user identifiers associated with users, predicting future page URLs as well as content, products, services, information, etc., that the users may seek.

Abstract: Systems, methods, and devices identify devices and assign keywords to such devices. Methods include retrieving data from at least one data source, the data comprising a plurality of data events associated with a plurality of devices, and generating a plurality of probability metrics for each of the plurality of devices based on device information and data event parameters included in the retrieved data. Methods also include generating an activity estimation parameter for each of the plurality of devices based on the plurality of probability metrics, the activity estimation parameter comprising an estimated probability of a subsequent data event being taken by a device.