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Consumption level prediction method, device, electronic device and storage medium
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A technology of consumption level and prediction method, which is applied in the Internet field, can solve problems such as low accuracy of consumption level, failure to consider user consumption habits, and inability to reflect the trend difference of user consumption level, so as to achieve the effect of improving accuracy
Active Publication Date: 2022-04-12
BEIJING SANKUAI ONLINE TECH CO LTD
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[0003] The existing technology can only get the level of the user's consumption level when making predictions, and the description is not detailed enough. Since multiple users will correspond to the same level, it cannot reflect the user differences of the same level at this time, and does not consider the consumption of users at different times. Habits cannot reflect the trend difference of the consumption level of users at different times, therefore, the accuracy of the consumption level predicted by the existing technology is low
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Embodiment 1
[0029] A method for predicting consumption levels disclosed in this embodiment, such as figure 1 As shown, the method includes: Step 110 to Step 150.
[0030] Step 110, acquire the consumption characteristics of the current user at the current time as the current consumption characteristics.
[0031] Wherein, the current consumption feature includes the current user ID, the area ID of the area where the current user is located, and the commodity attribute of the consumption level to be predicted, and may also include current time information and other relevant information. The current time information includes date, holiday information, day of the week, specific time and so on.
[0032] When it is necessary to predict the consumption level of the current user, the current time, the area where the current user is located, and the product attributes of the consumption level to be predicted are obtained. The area where the terminal is located may be acquired according to the po...
Embodiment 2
[0097] A device for predicting consumption levels disclosed in this embodiment, such as Image 6 As shown, the forecasting device 600 of the consumption level includes:
[0098] The consumption feature acquiring module 610 is used to acquire the consumption feature of the current user at the current time as the current consumption feature;
[0099] A consumption sequence acquisition module 620, configured to acquire a historical consumption sequence corresponding to the current consumption feature;
[0100] The consumption preference extraction module 630 is used to extract the consumption preference characteristics in the historical consumption sequence through attention mechanism and LSTM according to the current consumption characteristics;
[0101] Consumption probability prediction module 640, configured to input the current consumption characteristics and the consumption preference characteristics into the consumption level distribution model, and process the hidden lay...
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Abstract
The embodiment of the present application discloses a consumption level prediction method, device, electronic equipment, and storage medium. The method includes: obtaining the consumption characteristics of the current user at the current time as the current consumption characteristics; obtaining the consumption characteristics corresponding to the current consumption characteristics Historical consumption sequence; according to the current consumption feature, extract the consumption preference feature in the historical consumption sequence through the attention mechanism and LSTM; input the current consumption feature and the consumption preference feature into the consumption level distribution model, through the The Softmax layer in the consumption level distribution model processes the output value of the hidden layer of the consumption level distribution model to obtain the consumption probability corresponding to a plurality of consumption amount discrete values; the multiple consumption amount discrete values and corresponding consumption probabilities are used as the The consumption level distribution of current users. The embodiments of the present application improve the accuracy of consumption level prediction.
Description
technical field [0001] The embodiments of the present application relate to the technical field of the Internet, and in particular, to a consumption level prediction method, device, electronic equipment, and storage medium. Background technique [0002] Accurately depicting the consumption level is critical to recommending suitable products or services to users, which can effectively improve the user experience. [0003] The existing technology can only get the level of the user's consumption level when making predictions, and the description is not detailed enough. Since multiple users will correspond to the same level, it cannot reflect the user differences of the same level at this time, and does not consider the consumption of users at different times. Habits cannot reflect the trend difference of the user's consumption level at different times. Therefore, the accuracy of the consumption level predicted by the existing technology is low. Contents of the invention [0...
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