Orange-collar worker recommending method in e-commerce

Abstract

The invention belongs to the technical field of information, and specifically relates to an orange-collar worker recommending method in e-commerce. The method comprises the following steps: 1, inputting article data grabbed on a certain website, classifying users related to by the data and positioning orange-collar workers; 2, for input demands of certain users, recommending orange-collar workers to the users; 3, for input product descriptions of certain trade companies, recommending orange-collar workers to the trade companies; and 4, displaying results, i.e., displaying a classification result of the users in the grabbed data, an orange-collar worker positioning result and an orange-collar worker recommending result for meeting the demands of the users / trade companies. The orange-collar worker recommending method in e-commerce, brought forward by the invention, is composed of three parts including orange-collar worker positioning, orange-collar worker recommending for the users and orange-collar worker recommending for the trade companies. The method solves the problem of orange-collar worker positioning and the problems of obtaining the orange-collar workers which meet demands of the users / trade companies most and recommending the orange-collar workers to the users / trade companies.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to a method for recommending orange collars in electronic commerce. Background technique [0002] With the rapid development of Internet technology, like social networks, online shopping has also developed rapidly and become increasingly popular, and has become an important part of people's shopping behavior. At the same time, online shopping websites that are closely related to online shopping have also developed rapidly, and traffic is the survival basis of online shopping websites. In order to expand sources, divert traffic, and increase traffic, online shopping websites recommend their own products in social networks, which leads to the emergence and development of social shopping guides. Socialized shopping guide refers to the behavior of social individuals to promote products in social network sites. [0003] With the development of social shopping guide, th...

AI Technical Summary

Problems solved by technology

However, due to the short development time of Orange Collar and the different growth models of each Orange Collar, there are urgent problems to be solved between Orange Collar itself and between ordinary users and Orange Collar. How to use Orange Collar to recommend products is also a problem that social shopping needs to solve a key question

So far, there is no research on socialized shopping guides for orange collars

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