Decision making criteria-driven recommendations

This invention describes a system for an e-commerce website that helps users find products or services. It works by letting users pick specific criteria they care about, like price or features, and assign how important each criterion is. The system then calculates scores for available options based on these user preferences, using an in-memory database to store user profiles, and displays the best matches as recommendations.

Why it matters: Filed before the widespread demand for transparency in AI-driven recommendations. Modern cloud infrastructure and front-end frameworks make building user-configurable preference systems with real-time feedback, as described, significantly more feasible and performant.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: ModerateSoftware logic, in-memory database, web interface

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