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This invention describes a software system designed to help new users of a vehicle search tool. When someone accesses the tool for the first time and the system has no prior search history for them, it identifies their demographic information. It then uses this information to match them to pre-defined groups of people and retrieves a list of vehicle preferences (like popular cars) associated with those groups, using these preferences to customize the initial search results. The claims specifically focus on vehicle data systems and vehicle preferences derived from demographic classifications.
Why it matters: Since 2020, advancements in data analytics and machine learning, including more sophisticated AI models, have made the process of generating and refining demographic-based preference lists (as described in claims 2 and 3) significantly more efficient and accurate. This allows for more nuanced and dynamic cold-start personalization than previously feasible.
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