Methods and systems for displaying web pages based on a user-specific browser history analysis

摘要

Methods and systems for automatically parsing the content of a user's browser history to extract information about that user's browsing habits, interests, likes, and dislikes utilizing text analytics and unsupervised machine learning. A topic model can be utilized to filter the display of web content and employ visualization techniques to highlight specific content (e.g. keywords) that correspond with the users specific tastes. The analysis can be as coarse or fine as the user desires and all of the analysis can be done locally on the user's own data processing device.