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This invention describes a search engine that can understand queries using descriptive terms like "large-screen" or "light-weighted" instead of just keywords. It works by breaking down the query, identifying these descriptive terms and the objects they refer to, and then mapping them to actual properties of items. For example, it can figure out that "large-screen" refers to a specific range of screen sizes for smartphones by analyzing a collection of existing phones and their properties.
Why it matters: Filed before large language models could infer semantic meaning and property ranges from unstructured data. The data collection and sorting described in the claims, which was a significant hurdle in 2018, is now much more feasible with modern AI.
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