摘要:
A method and system for modeling the interests of an individual television viewer based on logging the user's television usage activities for the purpose of determining personalized recommendations is presented. According to one aspect of the claimed subject matter, user input in response to a questionnaire, the user's recorded television usage, the user's previous interactions with the personalized recommendations and contextual data such as external events and social group influences are used to model the probability of a user's interest in available media content. Data from the model is subsequently arranged to display units of available media content with the highest probabilities of user interest to the user. According to further embodiments, specific user behavior in previously consumed media content such as a user's selection, a user's continuous consumption, and a user's discontinuation of consumption is tracked and used as input.
摘要:
Reports to manage service projects may be generated by an automatically generated project report generator software tool. The project report generator software tool is automatically created from an object-based model of work products in a project, wherein the object-based model is executable by a machine and comprises a plurality of work product object and a recording of at least some relationships between the object, wherein each work product object represents a document that contains information about the service project. One or more reports can be generated by the project report generator software tool during the lifetime of the service project, wherein the report is generated using the object-based model and at least some of the information in documents represented in the object-based model.