System, method, and non-transitory computer readable medium for generating recommendations

This invention describes a system that helps users find specific items by generating tailored recommendations. When a user searches for an item, specifying both the item type (like "shirt") and a desired characteristic (like "blue"), the system looks through a database for matching items. It then takes the titles of these items and modifies them to show only the specific characteristic the user asked for, presenting these refined recommendations.

Why it matters: Filed before large language models could easily generate nuanced text. The process of modifying item titles to highlight specific variants, which might have required complex rule sets in 2021, could now be significantly streamlined by LLM capabilities.

Status: Not in forceListed as no longer active.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

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