Method and system for identifying abnormal hotel room prices on ota platform
An identification method and room type technology, applied in the field of information processing, can solve problems such as abnormal product prices on the OTA platform, indirect loss of brand image, loss of compensation price difference, etc., to avoid abnormal prices from affecting customer experience, reduce the amount of manual business review, and improve The effect of brand image
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Embodiment 1
[0056] Such as figure 1 As shown, the identification method of the hotel room type price abnormality of the OTA platform of the present embodiment includes:
[0057] S101. Obtain historical data of the hotel;
[0058] Among them, the historical data of the hotel is used to represent the historical price of each room type in the hotel;
[0059] Specifically, the historical data of the hotel includes: the area of the hotel room type, whether the hotel room type includes breakfast, the payment method corresponding to the hotel room type order, the median price of the historical room type pushed by the supplier, the median price of the non-cancelled room type, whether the check-in date For holidays and room type heat, etc.
[0060] S102. Using the XGBoost algorithm to model and process the historical data of the hotel to obtain a room price prediction model;
[0061] S103. Obtain the hotel room type prediction price corresponding to each room type of the hotel according to th...
Embodiment 2
[0096] Such as figure 2 As shown, the OTA platform’s abnormal hotel room price identification system of this embodiment includes a historical data acquisition module 1, a forecast model acquisition module 2, a forecast price acquisition module 3, a threshold range acquisition module 4 and a judgment module 5.
[0097] Historical data acquisition module 1 is used to obtain hotel historical data;
[0098] Among them, the historical data of the hotel is used to represent the historical price of each room type in the hotel;
[0099] Specifically, the historical data of the hotel includes: the area of the hotel room type, whether the hotel room type includes breakfast, the payment method corresponding to the hotel room type order, the median price of the historical room type pushed by the supplier, the median price of the non-cancelled room type, whether the check-in date For holidays and room type heat, etc.
[0100] Prediction model acquisition module 2 is used to adopt XGBo...
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