Product potential user mining method and device

Abstract

The invention discloses a product potential user mining method and device. The product potential user mining method comprises the following steps: collecting user data to be predicated; for the user data to be predicated, carrying out prediction of potential users by utilizing a prediction model pre-established based on a machine learning algorithm; and outputting a prediction result. According tothe technical scheme, product potential users are obtained through the prediction model pre-established based on the machine learning algorithm, so that compared with a manual screening mode, the method greatly improves screening efficiency of the potential users, and effectively saves labor and time cost.

Description

technical field

[0001] The present disclosure generally relates to the field of computer technology, specifically to the field of data mining, and in particular to a method and device for mining potential users of a product. Background technique

[0002] The traditional product sales process is: looking for potential users, telephone communication, offline visits, and signing contracts. Among them, looking for potential users is usually carried out through manual screening by sales personnel. When the number of users is large, manual screening of potential users has the following defects:

[0003] 1. A lot of time and manpower are wasted, and the efficiency is low;

[0004] 2. The screening results are inaccurate and the degree of intention is low;

[0005] 3. Newcomers need to be trained before screening, which is costly. Contents of the invention

[0006] In view of the above defects or deficiencies in the prior art, it is desired to provide an accurate, reliable and...

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