Abstract: A method and system for ranking and categorizing journaled internet data sources for use in marketing and advertising. Journaled internet data sources are identified and examined. Journal data is retrieved from one or more of the data sources and a voting algorithm is applied to classify the journaled data. The journaled data is associated with one or more content categories of a monitoring taxonomy that specifies content categories and relationships between the content categories. Based on the associations, an interest level, an interaction level, a direction level, or authority level is computed and used to rank the journaled data. The rankings are stored and can be provided for use in targeted marketing and advertising.

Abstract: A method and system for generating and controlling access to copy-protected digital media files. Digital media content is obtained and encoded in electronic file using a media codec. The encoded media content is encrypted in the electronic file and a multi-format renderer configured to render the encoded, encrypted electronic file is embedded in the electronic file. When the digital file is accessed, the multi-format renderer generates an invocation code identifying an operation-type in response to a requested operation. A transaction ID storing a user-access policy and associated with the electronic file is retrieved and compared to the invocation code. Based on a result of the comparison of the invocation code and the user-access policy, the multi-format renderer selectively allows the invocation code.

Abstract: A method and system for integrating data-source consumer-preference data and internet-medium consumer-preference data for use in targeted advertising and ranking content. Consumer-preference data is determined based on user-interactions with a data source, such as a set-top-box. The data source is classified based on a monitoring taxonomy that specifies content categories and relationships between the categories. The consumer-preference data and the data source classification are aggregated with other preference and classification data, which is used to rank the data source classification data. Journaled internet data sources are analyzed using the monitoring taxonomy to determine internet-medium consumer-preference data. The journaled internet data sources are ranked based interest level, direction level, or authority level.