Intelligent matching method, system, device and readable storage medium for business incubator

Abstract

The invention discloses an intelligent matching method, system, device, and readable storage medium for an entrepreneurial incubator. According to acquiring the demand characteristics of an inquirer and matching with a preset feature vector library of an entrepreneurial incubator, a collection of entrepreneurial incubators that meet the requirements of an inquirer is screened out. , adjust the initial weight of each entrepreneurial incubator in the entrepreneurial incubator set to obtain the application weight of the entrepreneurial incubator, sort the application weights, obtain the set of entrepreneurial incubators to be recommended, and obtain the total number of entrepreneurial incubators that the historical queryer needs to view on the spot based on historical records. The number is obtained by the integer average value. By judging the integer average value and the size of the number of startup incubators to be recommended, the combination of recommended startup incubators can be obtained. Compared with the existing technology, the time progress of entrepreneurs from the startup incubator to the completion of settlement can be greatly compressed, reducing During the process, there are exchanges between business incubators, which improves search efficiency, increases order conversion rates, and speeds up the digestion of business incubator inventory.

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

Images