Data-driven item value determinations for a user-interested topic are automatically generated and made available to a user for rendering effective, efficient decisional choices on one or more aspects of the user-interested topic. Information on components of the user-interested topic relevant to a user's decisional choices are mined from the internet and collated to generate values that identify optimum user choices. User input is utilized to tailor generated value determinations for specific user preferences, issues and/or concerns. Data-driven item value determinations can be generated for a host of user-interested topics including, but not limited to, eating establishment nutritional choices and shopping mall criteria.
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