Information pushing system and method based on investment promotion workflow and reading preference

Abstract

The invention discloses an information pushing method based on investment promotion workflow and reading preference. During an information pushing process, by adopting an intelligent factor extractionalgorithm and a text similarity algorithm, the text information such as enterprise portrait, carrier portrait and information to be pushed is quantitatively processed, and the similarity comparison are performed on the enterprise portrait information, carrier information and information to be pushed by adopting a Doc2Vec algorithm, so as to complete accurate pushing of information on investment invitation. Through the collection and calculation of reading preferences, the utilization of information can be improved. The invention is characterized in that the pushing process is closely combinedwith the investment promotion workflow, so that the pushing information meets the requirements of the investment promotion scene accurately.

Description

Technical field [0001] The present invention belongs to the field of information systems, and particularly relates to an information push system and method based on investment promotion workflow and reading preferences. Background technique [0002] In the process of attracting investment, both the investor and the carrier need to obtain a large amount of accurate information of the other party. The current general method is to obtain relevant information with the help of Internet search engines, corporate credit websites, news information and other information query methods. In this process, the traditional investment information inquiry and push methods have the following problems: [0003] 1. Information fragmentation: Due to the fragmentation of information on the Internet, it takes a lot of manpower and time to collect information if you want to form a complete corporate portrait or carrier portrait. [0004] 2. The readability of information is low: As the current information ...

AI Technical Summary

Problems solved by technology

[0003] 1. Information dispersion: Due to the dispersion of information in the Internet, it takes a lot of manpower and time to collect information if you want to form a complete corporate portrait or carrier portrait

[0004] 2. The readability of information is low: because the current information push adopts the broadcast method, which is not targeted, this will increase the cost of information push on the one hand, and cause certain harassment to the enterprise on the other hand

[0005] 3. Low information utilization rate: Investors need to go through continuous screening and matching to find information that meets their own needs and investment intentions from among the many investment promotion information, which objectively results in a low information utilization rate

[0006] 4. The timeliness of information is poor: the government’s policies and guidelines for attracting investment and the intentions of enterprises are constantly changing, but the information pushed in practice often has a certain lag, which leads to certain problems in the cooperation between the government and enterprises

[0007] 5. Lack of objective reading feedback analysis: after the investment promotion broadcast information is pushed, it is often impossible to obtain objective feedback on whether the pushed content is really needed by enterprise users

[0008] 6. Lack of analysis of enterprise development needs: the premise of the effectiveness of information push is to meet the needs of enterprise development, and the traditional investment promotion information push mode lacks precise positioning of enterprise development needs

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