Filtering relevant event notifications in a file sharing and collaboration environment

Abstract

Profile information is maintained concerning users and files in the context of a file sharing and collaboration environment. Profile information quantifies each user's interest level in specific files, and levels of similarity between users and between files. Machine learning techniques are applied to monitored actions taken by users directed towards files, and profile information is dynamically updated in response. Natural language processing such as n-gram analysis is applied to files, and file similarity levels are increased in response to requisite amounts of common content. The event notification stream is filtered. For each specific event notification, a relevance value is quantified for each specific user, based on profile information concerning the specific user, the file to which the event is directed, and the user who undertook the event. The corresponding notification is only transmitted to specific users for whom the relevance value exceeds a predetermined threshold.