Apparatus and method for personalized delivery of content from multiple data sources

摘要

A non-transitory computer readable storage medium includes instructions to collect explicit feedback from a user regarding user content preferences. Multiple data sources are monitored. Topics associated with the multiple data sources are classified. The importance of the topics to the user is characterized. Content is delivered to the user when a selected topic exceeds an importance threshold for the user. Implicit feedback from the user that characterizes refined user content preferences is tracked. The instructions to characterize the importance of topics evaluates the explicit feedback and the implicit feedback.

主权项

1. A non-transitory computer readable storage medium, comprising instructions to:
collect explicit feedback from a user regarding textual content preferences; monitor a plurality of diverse data sources generating textual content; classify topics associated with the plurality of diverse data sources to form a model of topics; characterize the importance of the topics to the user to form a model of user interests; deliver selected textual content to the user when, based on the model of topics and the model of user interests, a topic associated with the selected textual content exceeds an importance threshold for the user; and track implicit feedback from the user that characterizes refined textual content preferences, wherein the implicit feedback is gathered by observing activities of the user, wherein the activities are at least one of reading, saving, sharing or deleting the textual content, wherein utilization of the implicit feedback reduces the cognitive load of the user; wherein the instructions to characterize the importance of topics evaluates the explicit feedback and the implicit feedback.