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Method and apparatus for predicting re-purchasing probability of user, method and apparatus for determining quality of user, and electronic equipment

A probabilistic prediction and user quality technology, applied in the Internet field, can solve the problems of low accuracy and low prediction efficiency of user repurchase probability prediction, and achieve the effect of improving prediction accuracy and prediction efficiency, and improving processing accuracy and processing efficiency.

Active Publication Date: 2017-09-29
BEIJING XIAODU INFORMATION TECH CO LTD
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Problems solved by technology

[0006] Embodiments of the present invention provide a user repurchase probability prediction method, device, and electronic equipment, as well as a user quality determination method, device, and electronic equipment, which are used to solve the problem of prediction accuracy and prediction of user repurchase probability in the prior art. The problem of low efficiency

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  • Method and apparatus for predicting re-purchasing probability of user, method and apparatus for determining quality of user, and electronic equipment

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Embodiment Construction

[0030] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0031]In some processes described in the specification and claims of the present invention and the above-mentioned drawings, a plurality of operations appearing in a specific order are contained, but it should be clearly understood that these operations may not be performed in the order in which they appear herein Execution or parallel execution, the serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. Additionally, these processes can include more or fewer operations, and these operations can be performed sequentially or in parallel. It should be no...

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Abstract

The embodiment of the invention, which relates to the field of the internet technology, provides a method and apparatus for predicting a re-purchasing probability of a user and electronic equipment. The method for predicting a re-purchasing probability of a user comprises: carrying out learning on a training sample set to obtain a prediction model for a re-purchasing probability of a user; obtaining a feature data set of a to-be-predicted user; and using the feature data set of the to-be-predicted user as an input of the prediction mode and carrying out processing to obtain a re-purchasing probability prediction value of the to-be-predicted user by the prediction model. Therefore, on the basis of multi-feature-dimension data of a user, the re-purchasing probability prediction value of the to-be-predicted user can be obtained automatically by the prediction model, so that the prediction accuracy is improved and the prediction efficiency is enhanced.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of the Internet, and in particular to a user repurchase probability prediction method, device and electronic equipment. Background technique [0002] In the field of O2O (Online To Offline, online to offline / online to offline), the repurchase rate of new users (buyers) is an important indicator to measure the quality of merchants, and the quality of merchants is how the platform determines how to recruit new users to merchants. An important basis for subsidies. For example, if there are a large number of new users in a merchant on a certain day, and the repurchase rate of new users is low, it means that the quality of new users in this merchant on that day is poor and cannot bring effective benefits to the O2O e-commerce platform; In this case, the platform can limit the subsidy for new users of the merchant to reduce the loss of the platform. [0003] Repurchase probability refer...

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Application Information

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IPC IPC(8): G06Q30/02G06N99/00
CPCG06Q30/0201G06Q30/0203G06N20/00
Inventor 刘梦宇魏尧王永会
Owner BEIJING XIAODU INFORMATION TECH CO LTD
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