Intelligent matching method, system and device of entrepreneurship incubator and readable storage medium

Abstract

The invention discloses an intelligent matching method, system and device for entrepreneurship incubators and a readable storage medium, and the method comprises the steps of obtaining demand features of inquirers, carrying out the matching with a preset entrepreneurial incubators feature vector library, and screening out an entrepreneurial incubators meeting the conditions; adjusting the initial weight of each entrepreneurial incubator in the entrepreneurial incubator set; obtaining an application weight of the entrepreneurship incubator; sorting the application weights to obtain a to-be-recommended entrepreneurship incubator set; obtaining the total number of entrepreneurial incubators needing to be checked on site by a historical querier based on historical records to obtain an integer average value; and judging the integer average value and the number in the entrepreneurial incubator set to be recommended to obtain an entrepreneurial incubator combination to be recommended. Compared with the prior art, the time schedule of entrepreneurs from the entrepreneurs incubator to the completion of entering can be greatly reduced, the number of communication times of the entrepreneurs incubator in the process is reduced, the searching efficiency is improved, the order conversion rate is improved, and digestion of the station inventory of the entrepreneurship incubator is accelerated.

Description

technical field [0001] The present invention relates to the field of intelligent matching technology, in particular to an intelligent matching method, system, device and readable storage medium for a business incubator. Background technique [0002] With the advancement of technology, the entrepreneurial group is getting bigger and bigger, but not all entrepreneurs will have their own exclusive office space at the beginning, so the office space leasing business was born. With more and more digital applications, more and more office space leasing industry has realized online search and then offline survey. [0003] At present, in the online search for office space leasing industry, when entrepreneurs or inquirers search for shared office and co-working spaces with the functions of business incubators or incubators, they generally base on several factors such as the entrepreneur’s location, administrative region, subway line, number of people or area. Let entrepreneurs single...

AI Technical Summary

Problems solved by technology

[0003] At present, in the online search for office space leasing industry, when entrepreneurs or inquirers search for shared office and co-working spaces with the functions of business incubators or incubators, they generally base on several factors such as the entrepreneur’s location, administrative region, subway line, number of people or area. Let entrepreneurs single-select or double-select several demand tags, and then filter out the corresponding incubators based on the tags. The incubators mentioned in this article are actually these shared office spaces or co-working spaces, and they are priced from top to bottom. The high and low rankings are for the entrepreneurs to check, and let the entrepreneurs enter the online details introduction page of each incubator one by one. The cumbersome service process of viewing venues offline has the problems of time-consuming and labor-intensive, high entry costs, and the biggest problem is that it is impossible to accurately infer the suitable incubator for entrepreneurs or inquirers, and the push or matching results are not accurate enough

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