User value prediction method and device and electronic equipment
A prediction method and user's technology, applied in the computer field, can solve the problem that the accuracy rate needs to be improved, and achieve the effect of high prediction accuracy rate
Pending Publication Date: 2022-01-28
SHANGHAI QIYUE INFORMATION TECH CO LTD
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[0003] At present, the prediction of user value is mostly to build a prediction model by obtaining a large number of sample users, and use this model to predict user value. However, at present, the accuracy of this method still needs to be improved
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[0041] Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. However, example embodiments may be embodied in many forms, and this invention should not be construed as limited to the embodiments set forth herein. On the contrary, providing these exemplary embodiments can make the present invention more comprehensive and complete, and facilitate the full transfer of the inventive concept to those skilled in the art. The same reference numerals denote the same or similar elements, components or parts in the drawings, and thus their repeated descriptions will be omitted.
[0042] On the premise of conforming to the technical concept of the present invention, the features, structures, characteristics or other details described in a specific embodiment do not exclude that they can be combined in one or more other embodiments in a suitable manner.
[0043] In the description of the specific embodiments, the featu...
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The embodiment of the invention provides a user value prediction method. The method comprises the steps of obtaining value information of a sample user; fitting the sample users of each group based on the value distribution expression group to obtain a value regression model corresponding to each group; using the group as a label to train a group classifier, and updating the group classifier according to the fitting deviation of the value regression model; predicting a sample group of each sample user through the updated group classifier, and updating the sample users in each group; iterating by using the updated sample users contained in each group to obtain an iterated group classifier and a value regression model corresponding to each group; and predicting the group of the to-be-predicted user by using the group classifier, and predicting the value of the to-be-predicted user by using the value regression model of the corresponding group. Through grouping fitting and iteration, the iterated group classifiers can be accurately grouped according to the distribution of user values, so that the prediction accuracy of the value regression model special for each group is higher.
Description
technical field [0001] The present application relates to the computer field, and in particular to a user value prediction method, device and electronic equipment. Background technique [0002] When conducting some businesses, considering that different users may bring different benefits, people in the industry usually predict the value of users to formulate better business strategies. [0003] At present, the prediction of user value is mostly to build a prediction model by obtaining a large number of sample users, and use this model to predict user value. However, at present, the accuracy of this method still needs to be improved. Contents of the invention [0004] The embodiments of this specification provide a user value prediction method, device and electronic equipment to improve the prediction accuracy. [0005] The embodiment of this specification provides a user value prediction method, including: [0006] Obtaining the value information of the sample users, det...
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IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0201G06F18/2415G06F18/214
Inventor 沈赟聂婷婷张蓉霍永康李心宇冯海杰
Owner SHANGHAI QIYUE INFORMATION TECH CO LTD