Method, device, computer equipment and storage medium for recognizing behavior of betting around bids
A recognition method and behavior technology, which is applied in the direction of computing, using information identifiers to retrieve web data, instruments, etc., can solve problems such as identification of behaviors that cannot be tagged and stringent, so as to speed up the comparison processing speed, reduce the amount of calculation, and protect the market effect of order
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Embodiment 1
[0060] This embodiment provides a method for recognizing the behavior of surrounding bids and beating bids, such as figure 1 As shown, the main flow of the method is described as follows (steps S101-S104):
[0061] Step S101: Acquire the credit information of each bidder.
[0062] Specifically, the credit reporting platform interface is called first, and then the credit reporting information of each bidder is obtained through web crawling. like figure 2 The specific steps are as follows:
[0063] Step S1011: Acquire the identifier of the interface of the credit reporting platform.
[0064] An identity interface is an interface without any methods and properties. Identifying an interface does not impose any semantic requirements on the class implementing it, it merely indicates that the class implementing it belongs to a specific type. In the Java language, interfaces such as java.io.Serializable and java.rmi.Remote are identification interfaces. When a class implements ...
Embodiment 2
[0092] In order to better implement the above method, an embodiment of the present invention provides an apparatus for recognizing the behavior of betraying a bid and betraying a bid. This can include devices such as mobile phones, tablets, or desktop computers.
[0093] Figure 4 This is a structural block diagram of a device for recognizing the behavior of surrounding bids and stringing bids according to an embodiment of the present invention. like Figure 4 As shown in the figure, the device for recognizing the behavior of betting on bids and betting on bids mainly includes:
[0094] an acquisition module 201, used for acquiring the credit information of each bidder;
[0095] a preprocessing module 202, configured to preprocess the credit information;
[0096] A classification and extraction module 203, configured to classify and extract the preprocessed credit information based on preset dimensions to obtain multiple dimension information of each bidder; and
[0097] ...
Embodiment 3
[0106] In order to better execute the program of the above method, an embodiment of the present invention provides a computer device, where the computer device may be a server or a terminal. like Figure 5 As shown, the computer device 300 includes a memory 301 and a processor 302 .
[0107] The memory 301 stores at least one instruction, at least a piece of program, code set or instruction set, and at least one instruction, at least a piece of program, code set or instruction set is loaded and executed by the processor 302 to realize the above-mentioned embodiment-beyond-marking-string-marking behavior recognition. method.
[0108] Memory 301 may include one or more computer-readable storage media, which may be non-transitory. Memory 301 may also include high-speed random access memory, as well as non-volatile memory, such as one or more disk storage devices, flash storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 301 i...
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