User attribute marking method and device, electronic equipment and storage medium
A technology of user attributes and marking methods, applied in the computer field, can solve the problems of high labor cost, inaccurate screening and low efficiency, and achieve the effect of reducing labor cost and improving accuracy.
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Embodiment 1
[0030] figure 1 This is a schematic flow chart of a method for marking user attributes provided in the first embodiment of the present disclosure. This embodiment is applicable to the situation where the user’s type is determined according to the user’s behavior characteristic data, and the user’s type is marked. The attribute marking device is implemented, which may be implemented in the form of software and / or hardware, and optionally, implemented by electronic equipment, which may be a mobile terminal, a PC, and so on.
[0031] Such as figure 1 As described, the method of this embodiment includes:
[0032] S110: Acquire target behavior characteristic data of the target user within a preset time.
[0033] It should be noted that, in order to clearly introduce the technical solutions of the embodiments of the present disclosure, a house viewing application can be used as an example to introduce.
[0034] The preset time may be one week, ten days, half a month, or one month from the c...
Embodiment 2
[0059] Before inputting the target behavior characteristic data of the target user into the target behavior characteristic evaluation model, training sample data may be obtained in advance, and the target behavior characteristic evaluation model can be trained based on the training sample data. figure 2 This is a schematic diagram of another process of a user attribute marking method provided in the second embodiment of the present disclosure.
[0060] Such as figure 2 As shown, the method includes:
[0061] S210: Obtain multiple training sample data, and extract effective behavior feature data corresponding to each training sample data respectively as effective training sample data.
[0062] In order to improve the accuracy of the target behavior feature evaluation model, multiple sample data can be obtained as much as possible. Among them, one sample data corresponds to one user, and the behavior characteristic data corresponding to one user may include one or more. Correspondin...
Embodiment 3
[0089] image 3 A schematic structural diagram of a user attribute marking device provided in the third embodiment of the present disclosure. The device includes: a target behavior characteristic data acquisition module 310, a target characteristic evaluation value determination module 320, and a user attribute marking module 330.
[0090] Among them, the target behavior characteristic data acquisition module 310 acquires the target behavior characteristic data of the target user within a preset time; the target characteristic evaluation value determination module 320 is used to input the target behavior characteristic data into the pre-trained target In the behavior characteristic evaluation model, a characteristic evaluation value corresponding to the target behavior characteristic data is obtained; the user attribute marking module 330 is configured to mark the attribute of the target user according to the characteristic evaluation value.
[0091] On the basis of the above techni...
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