Orange-collar worker recommending method in e-commerce

A technology of e-commerce and recommendation methods, applied in the information field, can solve problems such as the short development time of Orange Collar, the lack of socialized shopping guides for Orange Collar, and different growth models.

Inactive Publication Date: 2016-02-03
HARBIN ENG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 a

Method used

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  • Orange-collar worker recommending method in e-commerce
  • Orange-collar worker recommending method in e-commerce
  • Orange-collar worker recommending method in e-commerce

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0079] Below in conjunction with accompanying drawing, the present invention will be further described:

[0080] The present invention comprises the steps:

[0081] (1) Input the article data captured on a social networking site, classify the users involved in the data and locate the orange collar;

[0082] (2) According to the input of a certain user demand, the orange collar is recommended to the user;

[0083] (3) According to the product description of a certain merchant entered, the orange collar is recommended to the merchant;

[0084] (4) Display results: display the classification results of users in the captured data, the positioning results of Orange Collars, and the results of Orange Collars recommendation according to the needs of users / businesses.

[0085] 1. Orange collar is positioned as:

[0086] 1. For the original data set, divide it into two parts: the orange-collar data set and the non-orange-collar data set. The division method is as follows:

[0087]...

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PUM

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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...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
Inventor 谢晓芹吕斌张志强韩帅
Owner HARBIN ENG UNIV
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