Further Improvements in Recommendation Systems

This invention describes a way to improve product recommendations using automated business rules. It works by defining rules based on specific characteristics of products, where if a "feature product" and a "recommended product" both match certain attributes, the rule adjusts the recommended product's position in a generated list, either moving it up or removing it. The claims specifically cover this rule-based modification of recommendation lists, not the other ideas mentioned in the abstract.

Why it matters: Filed before the widespread adoption of advanced machine learning and AI in recommendation systems. This invention's rule-based modification could provide a valuable, controllable business logic layer to refine or enforce specific product strategies on top of today's complex AI-generated recommendation lists.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, database, recommendation engine

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