Flight-recommendation-and-booking methods and systems based on machine learning

This invention describes a smart system that helps people find and book flights. It uses computers to learn what each user likes and then shows them a very short list of flights, specifically between one and nine options, that best match their preferences. Over time, the system gets better at understanding what flights a user will want by tracking their choices.

Why it matters: Since 2021, machine learning models have become significantly more powerful and accessible, particularly for personalized recommendation systems. This could simplify the development of the system's core learning capabilities and enhance its accuracy in identifying user preferences.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedHeavy software system, machine learning, cloud infrastructure

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