Abstract: The present invention relates generally to a sophisticated system and software to assist users deciding what video programing to watch. Based on analysis of viewing by users and their friends (which are the most reliable and accurate influencers on peoples viewing decisions), the system provides tools, ratings, recommendations and alerts. Specifically, the system leverages various forms of unique software tools and artificial intelligence processing to produce accurate and relevant information for users deciding what to watch. Given the huge and expanding amounts of video content and multiple viewing platforms, finding out what to watch is a crucial problem for a very high percentage (over 80%) of all video viewers, and the current invention represents a crucial and timely solution to this problem.

Abstract: The present invention relates generally to a very sophisticated system and software to collect a large range of hybrid user dam in relation to viewing of video content on any viewing platforms including television, online and other forms systems available on a real-time basis. Specifically, embodiments of the present invention provide systems and software for hybrid data collection and storage for large numbers of different data types and complex output analyses instantaneously. Further, because of the single source of the user data, system data outputs are already, and uniquely, in a verified (and validated) form and there are no requirements of additional verification or validations procedures such as identity (or device) graphing.

Abstract: The present invention relates generally to a sophisticated system and software to assist users deciding what video programing to watch. Based on analysis of viewing by users and their friends (which are the most reliable and accurate influencers on peoples viewing decisions), the system provides tools, ratings, recommendations and alerts. Specifically, the system leverages various forms of unique software tools and artificial intelligence processing to produce accurate and relevant information for users deciding what to watch. Given the huge and expanding amounts of video content and multiple viewing platforms, finding out what to watch is a crucial problem for a very high percentage (over 80%) of all video viewers, and the current invention represents a crucial and timely solution to this problem.

Abstract: The present invention relates generally to a very sophisticated system and software to collect a large range of hybrid user dam in relation to viewing of video content on any viewing platforms including television, online and other forms systems available on a real-time basis. Specifically, embodiments of the present invention provide systems and software for hybrid data collection and storage for large numbers of different data types and complex output analyses instantaneously. Further, because of the single source of the user data, system data outputs are already, and uniquely, in a verified (and validated) form and there are no requirements of additional verification or validations procedures such as identity (or device) graphing.