Hotel room type abnormal price early warning method, system and equipment and a medium
An early warning system and price forecasting technology, applied in market forecasting, instruments, buying and selling/leasing transactions, etc., can solve problems such as low processing efficiency, abnormal hotel room prices, inaccurate hotel room prices, etc., to achieve the effect of improving inaccuracy
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Embodiment 1
[0042] Such as figure 1 As shown, the present embodiment discloses an early warning method for abnormal price of hotel rooms, including the following steps:
[0043] Step S101, obtaining historical data of the hotel;
[0044] Step S102, using the GBDT algorithm to model the historical data of the hotel to obtain a room type price prediction model to be trained;
[0045] Step S103, acquiring the historical data characteristics of the hotel;
[0046] Step S104, input the historical data features of the hotel into the room type price prediction model, and perform model training to obtain the room type price prediction model;
[0047] In this embodiment, the historical data features of the hotel include the date information of the hotel stay, room type attributes, historical hotel room type prices, competition circle room rates, hotel tension information, and existing occupancy output information. Date information includes whether the check-in is a holiday, weekend, star rating...
Embodiment 2
[0060] Such as image 3 As shown, this embodiment discloses an early warning system for abnormal prices of hotel room types on an OTA platform, including a first acquisition module 1, a modeling module 2, a second acquisition module 3, a training module 4, a prediction module 5, and a judgment module 6 .
[0061] The first acquisition module 1 is used to acquire historical data of hotels;
[0062] The modeling module 2 is used to adopt the GBDT algorithm to carry out modeling processing on the historical data of the hotel, and obtain the room type price prediction model to be trained;
[0063] The second acquisition module 3 is used to acquire the historical data features of the hotel;
[0064] The training module 4 is used to input the historical data features of the hotel into the room type price prediction model, and perform model training to obtain the room type price prediction model;
[0065] The prediction module 5 is used to obtain the hotel room type prediction pri...
Embodiment 3
[0073] Figure 5 It is a schematic structural diagram of an electronic device provided by Embodiment 3 of the present invention. The electronic device includes a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the program, the early warning of the abnormal price of the hotel room type on the OTA platform provided by Embodiment 1 is realized. method. Figure 5 The electronic device 30 shown is only an example, and should not limit the functions and scope of use of the embodiments of the present invention.
[0074] Such as Figure 5 As shown, electronic device 30 may take the form of a general-purpose computing device, which may be a server device, for example. Components of the electronic device 30 may include, but are not limited to: at least one processor 31 , at least one memory 32 , and a bus 33 connecting different system components (including the memory 32 and the processor 31 ).
[0075] The ...
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