Abstract: The present disclosure relates to systems, methods, and computer-readable media for selectively identifying lodging content from listings provided by different listing providers and generating a composite listing that includes content selected across the different providers. For example, systems described herein may include content selection models that are trained to select different content types from listings that are provided by different listing providers based on features of the content and/or users. The composite listing may enable a user to book a stay with a lodging facility based on content presented via different third-party content providers for the same facility.

Abstract: Systems and methods for machine-based matching of lodging inventory from a plurality of disparate reservation provider systems address the difficulties inherent in comparing prices to obtain a lowest possible price, which difficulties are inherent in the distribution of inventory to multiple third-party reservation providers who are generally permitted to utilize their own naming conventions when describing lodging inventory and who are also free to at least some extent to set prices for the various lodging inventory within their control. The systems and methods match room types using information obtained from the multiple third-party reservation providers, whereby direct comparisons can be made between prices for the same room types even when the reservation providers do not utilize identical descriptions or naming conventions for the respective room inventories.

Abstract: Systems and methods for machine-based matching of lodging inventory from a plurality of disparate reservation provider systems address the difficulties inherent in comparing prices to obtain a lowest possible price, which difficulties are inherent in the distribution of inventory to multiple third-party reservation providers who are generally permitted to utilize their own naming conventions when describing lodging inventory and who are also free to at least some extent to set prices for the various lodging inventory within their control. The systems and methods match room types using information obtained from the multiple third-party reservation providers, whereby direct comparisons can be made between prices for the same room types even when the reservation providers do not utilize identical descriptions or naming conventions for the respective room inventories.

Abstract: A lowest rate on a multi-night lodging stay is achieved by obtaining lodging rate information for a first lodging location from a plurality of lodging rate sources. The information is correlated with a desired multi-night lodging stay to locate a lowest lodging rate for each of the nights of the desired multi-night lodging stay. Then, a plurality of lodging reservations corresponding to the multi-night lodging stay are generated, wherein at least two of the lodging reservations correspond to different nights of the multi-night lodging stay and are placed through different lodging reservation systems.