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Potential customer recommendation system and recommendation method based on enterprise tags

A recommendation method and customer technology, applied in the field of potential customer recommendation system based on enterprise tags, to achieve the effect of reducing the cost of customer acquisition

Active Publication Date: 2020-12-01
青岛格兰德信用管理咨询有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But how to make these data work and how to dig out information that users are interested in is a great challenge

Method used

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  • Potential customer recommendation system and recommendation method based on enterprise tags
  • Potential customer recommendation system and recommendation method based on enterprise tags
  • Potential customer recommendation system and recommendation method based on enterprise tags

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Embodiment Construction

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0047] The present invention provides a potential customer recommendation system based on enterprise tags, including:

[0048] Customer information management module: used to manage customer information, including customer basic information, legal proceedings, operating conditions, operating risks, enterprise development, intellectual property rights and news announcements;

[0049] Customer label management module: use the TF-IDF method to calculate the customer's common label, and push it to the user, and the user can correct and supplement the label according to his own experience;

[0050] Customer recommendation module: use the graph-based recommendation algorithm to calculate potential customers of the enterprise and push them to users;

[0051] Customer management modu...

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Abstract

The invention discloses a potential customer recommendation system and recommendation method based on enterprise tags. The system comprises a customer information management module, a customer tag management module, a customer recommendation module and a customer management module. The recommendation method comprises the steps of data crawling and storage, data cleaning, label extraction and cleaning, user labeling, graph data structure construction, calculation of relevancy of a client vertex relative to a user vertex, calculation of recommendation accuracy, selection of a trained data modelwith high accuracy to be deployed on a server, and client recommendation. According to the system and the method disclosed by the invention, the enterprise label is extracted more comprehensively by utilizing a distributed big data processing technology, so that the enterprise is described more comprehensively by using the label, the relationship between the interest label of the user and the enterprise label is established more accurately, and a recommendation result is more accurate.

Description

technical field [0001] The invention relates to the technical field of customer recommendation information, in particular to a potential customer recommendation system and recommendation method based on enterprise labels. Background technique [0002] With the development of information technology and the Internet, people have gradually entered the era of information overload from the era of information scarcity. In this era, people produce more and more data. But how to make these data work and how to dig out information that users are interested in is a great challenge. [0003] In recent years, social and economic growth has slowed down, and enterprises are also facing increasing pressure to survive. One of the biggest problems facing enterprises is the problem of marketing and acquiring customers. Digging out the potential customers of the enterprise is an urgent need of the current enterprise. [0004] From a technical perspective, we hope to help companies leverage ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/958G06F16/951G06F16/215G06F16/182G06F40/216G06F40/247G06F40/284G06K9/62G06Q10/10
CPCG06F16/9535G06F16/958G06F16/951G06F16/215G06F16/182G06F40/247G06F40/216G06F40/284G06Q10/103G06F18/214
Inventor 不公告发明人
Owner 青岛格兰德信用管理咨询有限公司
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