A talented person screening method evaluating user generated data based on a search technique

Abstract

The invention provides a talented person screening method evaluating user generated data based on a search technique. The method employs a main server, a vertical search sub-system sub-server and a recruitment and job hunting sub-system sub-server, wherein the vertical search sub-system sub-server and the recruitment and job hunting sub-system sub-server are connected with the main server. The main server is inside provided with a user generated data information library which is a database allowing all internet users to search for the answers to various kinds of technological and non-technological questions. The vertical search sub-system sub-server contains a vertical search sub-system; user generated data are grabbed out, an information library is established, and each piece of information in the information library is correlated with an account name and a source address. The recruitment and job hunting sub-system sub-server contains a recruitment and job hunting sub-system; evaluation and the number of times of clicking collected by the search sub-system are used as the indexes for the screening of job hunters. The method solves the problems that the authenticity of resumes cannot be determined and information is insufficient, and thus increases the accuracy of preliminary screening.

Description

technical field [0001] The invention belongs to a talent screening method for evaluating user-generated data based on search technology. Background technique [0002] Due to the development of Internet technology, the website is no longer a pure display platform. Internet users have penetrated deeply into Internet construction, and almost all Internet users are users of interactive websites such as blogs, microblogs, forums, and Q&A communities. Many users will write blogs to record their experience and gains in personal learning and life, post in forums and Q&A communities to ask for help or display their works, answer other users’ questions or comment on other people’s works, and also update Weibo to analyze their own state and mood etc. This user-generated data can be used to determine the degree of job match of job seekers. All the current online job recruitment websites do not do this, and still use the traditional method of judging the degree of job matching of job ...

AI Technical Summary

Problems solved by technology

[0009] All these recruitment websites rely on the resume to complete the preliminary screening. Due to the timeliness, authenticity and information volume of the resume, the accuracy of the preliminary screening is low.