Consultant scheme generation method, device and system, electronic equipment and medium

Abstract

The invention provides a consultant scheme generation method. The method comprises the steps of obtaining keywords, client data and framework information; based on the keywords, obtaining key data from the Internet, and determining partial data supporting the analysis conclusion from the key data based on at least one analysis result, determining target data matched with the client data from the partial data, splicing the target data based on the framework information, and processing the spliced target data by using a trained text processing model to generate a consultant scheme. The inventionfurther provides a consultant scheme generation device, electronic equipment, a computer readable storage medium and a consultant scheme generation system.

Description

technical field [0001] The present disclosure relates to a method, a device, an electronic device and a medium for generating an advisory proposal. Background technique [0002] In the era of data explosion, a considerable amount of big data has been accumulated inside and outside the banking industry. These big data treasures have not yet been discovered. The main reason for this phenomenon is that the means and methods for machine intelligence to understand big data are limited, resulting in a large number of The analysis work also requires manual intervention, and the level of intelligence is low. [0003] In the fields of economy, finance, etc., the current personalized consulting service plan mainly relies on manual analysis and writing, which faces many problems, such as (1) the human time cost of report writing is too high, and it cannot be provided in a limited time More customers provide high-quality services; (2) Due to the manual writing of consulting service pla...

AI Technical Summary

Problems solved by technology

[0002] In the era of data explosion, a considerable amount of big data has been accumulated inside and outside the banking industry. These big data treasures have not yet been discovered. The main reason for this phenomenon is that the means and methods for machine intelligence to understand big data are limited, resulting in a large number of The analysis work still needs manual intervention, and the level of intelligence is low

[0003] In the fields of economy, finance, etc., the current personalized consulting service plan mainly relies on manual analysis and writing, which faces many problems, such as (1) the human time cost of report writing is too high, and it cannot be provided in a limited time More customers provide high-quality services; (2) Due to the manual writing of consulting service plans, many cases rely on the personal experience and experience of the writers, which is likely to cause the same situation but obtain greatly different results; (3) try Among the peers who use machine intelligence to write, the level of intelligence is very low, and it is impossible to provide customers with consulting service solutions that meet the individual needs of customers

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