A COMPUTER IMPLEMENTED LARGE-SCALE METHOD, A SYSTEM AND COMPUTER PROGRAM FOR OPTIN-REDUNDANT PERSONALIZED DATA AGGREGATION AND CONTENT DELIVERY IN TELECOMMUNICATION NETWORKS

摘要

The present invention refers to computing methods and systems for delivering personalized content to users of telecommunication networks. In particular, the invention relates to a method, system and computer program, for delivering optin-redundant personalized content that also preserves the user's privacy. User clustering anonymization is achieved by first anonymizing "items/segments or features" and combining these by machine learning method with anonymized user identities.