OpenJobs AI uses natural language processing technology to innovate the traditional job search model, and its core advantage is to simplify the complex job search into a natural dialog process. The system allows users to directly input colloquial demands such as "Python Software Engineer in Shanghai, annual salary of 200,000+", and through the semantic analysis engine to analyze the user's skills background, salary expectations and geographical preferences and other 12 key dimensions. Compared with traditional recruitment platforms that require more than 20 screening conditions to be set manually, the AI can complete the intelligent matching of the entire job database within 3 seconds, and the test data shows that the recommendation accuracy rate reaches 89%. Typical application scenarios include: fresh graduates inputting the phrase "computer majors seeking programming positions" to get primary job recommendations; professionals inputting the phrase "sales to marketing" to get primary job recommendations; and people in the workplace inputting the phrase "sales to marketing" to get primary job recommendations. Typical application scenarios include: fresh graduates typing in "computer major seeking a programming position" to get an entry-level job recommendation; career changers typing in "sales to marketing, expecting a salary of 300,000 RMB per year" to get a career change recommendation. The system also has dynamic optimization capabilities, when the user feedback "recommended salary is too low", it will immediately adjust the search algorithm to re-match.
This answer comes from the articleOpenJobs AI: Talk to AI to Quickly Match Suitable Jobs》
