首页> 外国专利> FLIGHT-RECOMMENDATION-AND-BOOKING METHODS AND SYSTEMS BASED ON MACHINE LEARNING

FLIGHT-RECOMMENDATION-AND-BOOKING METHODS AND SYSTEMS BASED ON MACHINE LEARNING

机译:基于机器学习的航班推荐和预订方法和系统

摘要

The current document is directed to methods and systems, including an automated flight-recommendation-and-booking system that provide accurate, short lists of flights that best match a user's preferences and flight parameters specified by the user. In addition, the automated flight-recommendation-and-booking system learns, over time, to provide the most desirable flights to each user. The currently disclosed systems continuously monitor and store detailed information with regard to users' interactions with the systems, flight information, and other types of information that can be used to more accurately identify suitable flights for particular users. The currently disclosed systems initially provide, to a requesting user, information for only a small number of flights that closely correspond to the user's preferences and flight parameters and employ automated machine-learning methods to continuously track users' searches and flight selections in order learn users' preferences and to track users' preferences as they change and evolve, over time.
机译:目前的文件旨在提供方法和系统,包括自动飞行推荐和预订系统,提供准确,简短的航班,最佳匹配用户的首选项和用户的飞行参数。此外,自动飞行推荐和预订系统随着时间的推移学习,为每个用户提供最理想的航班。目前披露的系统不断监视和存储关于用户的交互的详细信息,以及可以用于更准确地识别特定用户的合适飞行的其他类型的信息。目前所公开的系统最初提供给请求用户,仅用于少量航班的信息,这些航班与用户的偏好和飞行参数密切相关,并采用自动化的机器学习方法以连续地跟踪用户的搜索和飞行选择,以便在订单学习用户'偏好并跟踪用户的偏好,随着时间的推移,随着时间的推移改变和发展。

著录项

  • 公开/公告号US2021264326A1

    专利类型

  • 公开/公告日2021-08-26

    原文格式PDF

  • 申请/专利权人 THOTH INC.;

    申请/专利号US202117179981

  • 发明设计人 BAYRAM ANNAKOV;ANATOLY ZAYTSEV;

    申请日2021-02-19

  • 分类号G06Q10/02;G06N5/04;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 20:47:56

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