E-the first machine learning into recruitment area, opening their 3.0
Artificial intelligence, MIT Technology deep learning technique Journal of artificial intelligence in the ten first in General, the famous point of University President Ray? he says: “who won AI, who will win the Internet”. International information industry giants also put forward its own artificial intelligence programs and products, including IBM’s Watson,Google Knowledge Graph, Apple’s Siri.
Recruitment, if you look at United States venture case of 2014, you will find one-third money flowed to areas of HR services, including some big: RUMAROCKET received tens of millions of dollars, continue to sophisticated machine learning system to optimize the recruitment process. ZipRecruiter dedicated to SMEs recommended talented people, its algorithm for is worth it? 63 million dollars.
Home also has a company: e-it from artificial intelligence to cut industry, relying on machine learning and recommended, wants to recruit areas connected with the services. If LinkedIn is a model of recruiting 2.0 era, e is 3.0 era.
It was also acknowledged by the capital: in May 2014, e into a light of millions of dollars a round of funding.
What makes e become so popular? May be able to find answers from its founder Zhou Youhong’s statement.
During a media interview, Zhou Youhong admits that in the past 18 months, he took over more than 20 technical partners working for only one word: fit – the workaholic, drawn from Baidu Phoenix nest data mining tough master of artificial intelligence algorithms, parallel computing engineering, Daniel. Them in a short period of time, in depth learning of neural network algorithms, natural language processing and understanding of technology, engaged in in-depth optimization, and successfully used in the accumulation of 10 years of mass recruitment data. Meanwhile, “I’ve used the past so many years of executive search experience. “Zhou Youhong guided a group of senior executive search, and constantly improve the knowledge system, jobs, resumes, and other information for” machine learning “dual analysis and evolution.
With similar to Google mapping knowledge of back-office support, e focus created a “one-box” talent and job search – based on huge amounts of data, and semantic analysis in an effort to accurately. White words: If HR in “find resume” box entered “Beijing phone client development 2 years”, system never will simple according to phone client development keywords for feedback, but integrated semantic, to out best of experience – – the HR can search to of, Ann Zhuo/android/Windows Phone,, in Beijing, and is expected to in Beijing, and household in Beijing of at least has 2 years work experience of development talent.
E at combining the job posting, resume information, user connections, and career path, create intelligent hiring recommendation system. Similar to Amazon’s recommendation system, e through background intelligent matching and analysis of automatically recommend ideal resume and candidate for HR also pushes the most appropriate job information to job-seekers. Ken told, in a recent assessment, e automatically recommend resume to HR, is close to 85% resume directly into the interview process.
If you smart hiring knowledgeable brain of the robot, then fit mechanism is the brain’s memory and Computing Center. E AI algorithms and 10 years taught basic identification of the brain capacity. E to continue optimizing brain, continue in the pursuit of more accurate CV analysis, workplace BI analysis of more massive, more extensive user and group portraits, and continued efforts on GPU-based computing and services. According to Zhou Youhong said, e-the goal is to continue to nurture and evolve into more intelligent hiring, recruitment to achieve a real intelligent cognitive systems, fundamentally changing the human resources industry.
Meanwhile, capital also expressed their views on the e model, in an interview that the speed of light when An Zhen Han Yan, a partner of China’s venture capital fund, he regarded the recruitment industry and e:
“The recruitment industry over the years to remain in the media era, efficiency has long been unresolved question. E into talent mapping data SaaS solution can help companies and HR managers to a great extent “cut” not only makes the pool doubled, and a platform to manage recruitment channels, talent identification, communication links, local is systematic, intelligent, mobile can do, which is of great significance. This we call the recruiting 3.0. E team understanding of the recruitment industry, as well as the determination of revolutionary HR business really touched me. Can have such a big commitment to embracing the Internet team, self-revolution team is commendable.
From: Lei feng’s network