In the job market to find and recruit this is a pair of contradictions, on the one hand, many talented people feel that it is difficult to find a suitable job, on the other hand, for most of the enterprises to recruit the right talent is also very difficult, in the rapid development of science and technology and the Internet can help us find a solution to it? How to realize the accurate matching of information in the talent market?

A paper resume can represent a person's true ability, a job description can express the true intentions of the enterprise, in the talent market this environment, talent all the time by a variety of talent information bombardment, the information gives us the opportunity at the same time, but also brought a lot of confusion in the recruiter and the service side of the scarcity of talent in the market for talent resources, pay a high cost of the At the same time, the effect is difficult to be guaranteed, so we often hear talent lamenting the difficulty of job search, companies lamenting the difficulty of recruitment, in this era of technology and Internet developed, technology can solve the dilemma of job search and recruitment, as if the drop of the car, through accurate matching to solve this problem?

Why is it so difficult to match finding and recruiting? Some experts have analyzed this problem from a deeper perspective, we divided the talent market into two categories of talent, statistics show that 20% of the market we call active talent, 80% of the talent we call passive talent, active talent is in a variety of job boards or recruiting channels to actively look for work in that part of the people, passive talent is those who will not be active actively look for work, they will also be Replacement of work, but most of them are introduced by friends or by headhunters digging and so on, but rarely in the website to send a resume, in general most of the people with the growth of age, the probability of passive talent will increase, however, most of the companies want to recruit is precisely passive talent, because these talents have a certain amount of social experience and work experience, if we still use the traditional way of recruiting, release some recruitment information If we still use the traditional recruitment methods, publish some recruitment information, expect these talents to find over, that the possibility is very low, most of them come over to apply for employment are active talents, the more active they are in the job market, indicating that their competitiveness is relatively poor, which is not needed by the enterprise, so there is an asymmetry here, how to solve it, whether there is really an APP like DDT to be able to solve this problem?

At present, the precise service mode is replacing the traditional intermediary mode day by day, becoming the most effective recruitment solution at present, in the Internet and information developed today, the traditional shopping, travel and other needs through the Internet to realize the matching of supply and demand, however, in the human resources industry, whether there is a brand-new Internet mode can realize the supply and demand problem, at present, a new business model is also affecting the traditional model. The traditional model, in human resources, passive talent also has the intention to seek employment, just they are not willing to expose their information freely in some platforms for everyone to see, in this case, the relevant experts analyze, we all need this kind of connection like a drop car, job seekers to their intentions, their aspirations of the enterprise culture, salary and other information recorded, the enterprise will be the recent stage of the need of the Talent-related information recorded, and then the two sides to information matching, this time the need to have the temperature of the communication, is the headhunting services, so the need for such a platform, so that the three parties on this platform for information matching, just like the drop car, the use of the Internet and big data for information matching.

This model may not be particularly mature, but very much looking forward to, I do not know if you have better insights.