[ANN] GoRecruit - Artificial Intelligence for HR Based on Blockchain

[GoRecruit]

ARTIFICIAL INTELLIGENCE FOR HR BASED ON BLOCKCHAIN

TOKEN SALE WEBSITE | WHITEPAPER

WEBSITE | TWITTER | FACEBOOK | TELEGRAM | MEDIUM | LINKEDIN | REDDIT | YOUTUBE

PRIVATE PRE-SALE IS LIVE

WEBSITE | TWITTER | FACEBOOK | TELEGRAM | MEDIUM | LINKEDIN | REDDIT | YOUTUBE

TOKEN SALE WEBSITE | WHITEPAPER

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[muarip]

This post was made on October 1 this month and this month is almost over but no one is interested in the development of this project. What is missing from this project? is there another ANN thread?

[2x25BT]

This post was made on October 1 this month and this month is almost over but no one is interested in the development of this project. What is missing from this project? is there another ANN thread?

we have to get used to that not everything happens on this forum
at least I think so at the moment

[fibrolit]

And, unfortunately, this moment is very bad for the reputation of the project.Bitcointalk is one of the most important ways of advertising!

[GoRecruit]

This post was made on October 1 this month and this month is almost over but no one is interested in the development of this project. What is missing from this project? is there another ANN thread?

Hi, muarip. No, this is the official ANN thread and we will keep you updated here about all things GoRecruit!

And today guys we want to tell you about how GoRecruit solves hiring problems.

In the process of hiring an employer faces a number of tasks, the main of which is the assessment of applicants. How to evaluate the usefulness for the company of a stranger?

Usually, personnel selection takes place in companies in “manual” mode. The candidate’s resume is evaluated by a human resource officer who needs to perform a large amount of work: place an ad, compile resumes, analyze them, conduct interviews with candidates, select the best ones. Such a procedure can take weeks and months while the company waits for a valuable employee and spends money on his search. Besides, the final decision may be wrong: the employee may not be suitable for the company or deceive it by “correctly” answering the employee's questions.

GoRecruit allows you to solve these problems and offers recruiter assistance in making personnel decisions. Using data from a social network profile and open sources, the system selects for 70 analysis parameters: the applicant's psycho-type, his interests, etc. Thus, the funnel of choice for the employer is reduced: an HR specialist in a large company or the manager himself in a small firm. Thus, the process of hiring an employee is accelerated, and it is less affected by the human factor.

The main advantages of GoRecruit in comparison with traditional ways of making personnel decisions are:

— objectivity: the system creates unified recruitment rules for all branches of the company, and a single base of employees allows you to increase the manageability of the company.

– accuracy: if other projects that help in hiring aim to disseminate information about a vacancy as widely as possible, then GoRecruit has attended to improving the efficiency of personnel decisions using a system based on artificial intelligence.

– cheapening: the optimization of the work of the personnel service can significantly reduce the costs associated with hiring new employees;

– reliability: a high-quality initial candidate check can reduce staff turnover and reduce the number of force-major situations

The world is changing very quickly: organizations can no longer ignore the many changes. Technologies now play a significant role in the work of HR-services. Many HR-processes are already automated: accounting and personnel training, accrual of bonuses, bonuses and compensation payments. GoRecruit uses breakthrough artificial intelligence technologies for digital-HR. GoRecruit is a product that will be able to assume other routine functions of the HR service in the future, leaving it with strategic objectives, and thus will be able to improve the process of hiring employees qualitatively.

[fibrolit]

GRT Token: what is it?
The GRT token, or RecruitCoin, is a GoRecruit project token based on a grt-token smart contract. Its base is the ERC-20 standard for the Ethereum blockchain platform.

GRT Token is a payment method for calculating the rating of a single candidate within the GoRecruit system. The initial value of the token is equal to 3 dollars and is equivalent to the cost of the rating of one candidate. It significantly reduces the cost of the recruiting process. Prices for GoRecruit services will be recorded in official currencies; however, the cost in GRT tokens will always be lower. It will stimulate the demand for GRT tokens over time.

The token economy of GoRecruit relies on using GRT as a means of payment for all services on the platform, as well as for transfers between GoRecruit users. This approach makes the token equally convenient and useful both for experienced users and for an audience not familiar with cryptocurrencies.
https://medium.com/gorecruit/grt-token-what-is-it-cb16b4328197

[GoRecruit]

GRT Token: what is it?

Yep, the key information about GRT is right there!

And we thought you guys might be interested in the history of GoRecruit.

The company’s CEO, Alexander Barabash, is an entrepreneur who has created several successful enterprises from scratch since his studies at the university. He was always interested in innovative business ideas, and once during a conversation with his colleague, Vitaly Volnyansky, he became interested in the possibility of creating a rating system for banks that would be based on the borrowers’ social networks profiles. However, in banking, expert systems were already widely distributed, so Alexander gradually came up with the idea of an HR service, which allows evaluating job candidates based on data from social networks.

The project began its first research in the field of social network data analysis in 2012, seeing the consistent patterns between the image of a person in a social network and his real psychological portrait. Later, Soucheil Zakkar joined, taking on the task of sales and marketing. The first result of the project was the creation of an expert system.

Expert systems are one of the few forms of artificial intelligence that have received broad practical application today. When the GoRecruit expert system evaluates applicants for vacant positions, it compares the personal and psycho-physiological qualities of the candidate with the same parameters of the best specialists. The GoRecruit service is based on the mathematical model and eight-year research of recruiters and psychologists.

After building the mathematical model and making the first interface of the system, the service team became able to confirm its hypothesis: the company successfully implemented the system in the MFC (Multi-Functional Centre of state and municipal service provision) of the Perm Krai, a company with a staff of more than 1000 people. The Ministry of Enterprise and Trade Development of Perm Krai recommended the use of GoRecruit in HR, and the service received positive feedback from recruiters from large HR agencies.

The result of this stage of work was the algorithm developed in 2015 for evaluating applicants by data from VKontakte, the largest social network in Russia and the CIS, and the construction of the first version of the Internet service.

The present stage of the GoRecruit project development is associated with the introduction of blockchain technology into the system for strong safety and reliable use of data on the personnel history of each person. This approach may become a new trend in the use of blockchain technology in HR.

Another direction of GoRecruit development is the integration of the service with other global and regional social networks. The system adds information about previous jobs and achievements to the analysis of job seekers, while the blockchain will allow companies to verify the accuracy of the information provided. All this creates a high-value service for recruiters. Thus, GoRecruit opens up new opportunities for the blockchain in the field of recruiting for businesses and candidates.

[GoRecruit]

Hey everyone! We just launched an airdrop campaign! Pool = $100 000 in GRT tokens.

To take part in it, you need to complete the following tasks:

1. Join our Telegram group: https://t.me/GoRecruit_EN
2. Follow our Twitter account: https://twitter.com/GoRecruit_EN
2. Like our Facebook page: https://www.facebook.com/GoRecruitEN
3. Fill out this form

Rules:

• Limit: 10000 confirmed participants.
• Do not mention the Airdrop Campaign in the channels.
• Only new users (joined GoRecruit after 30.10.2018) can participate in the airdrop campaign.
• Stay subscribed until the end of the crowdsale or you will be disqualified.
• Rewards will be distributed after the crowdsale, they are provided on a first-come, first-served basis and cannot exceed the airdrop pool.
• Maximum 20 confirmed referrals.

Rewards:

• Join (Telegram + Twitter + Facebook) – 1 GRT
• Referrals – 0.2 GRT per one confirmed referral

[GoRecruit]

GoRecruit: AI for personnel decisions of small and large enterprises

GoRecruit uses two fundamentally different approaches for working with data, because small and large enterprises make personnel decisions in different ways, both at the human level and at the level of mathematical models.

In the case of a small enterprise, personnel decisions are usually made by the manager on an intuitive level. From the point of mathematical modeling of this situation, the problem is the lack of statistical data on the movement of personnel and, as a consequence, the difficulty of collecting such data. The solution is to use the expert system model, which relies on a balanced expert opinion within the framework of the constructed decision tree.

Large enterprises, by contrast, have accumulated a vast array of data on personnel, but these data are often not used adequately and sometimes are unstructured. At different enterprises, they are stored in various forms and contain a different set of parameters about applicants and employees, which creates difficulties when working with them.

GoRecruit offers a complete solution for large enterprises. The system implementation cycle starts from structuring data on the movement of personnel to fill them with new data from social networks and other open sources. In the course of working with data, GoRecruit uses different methods, taking into account the specifics of the enterprise, but the main process can be described as follows: the collected data is cleared of “noise”, pre-processed, and then sent to a mathematical model.

The built neural network of the GoRecruit system can be fully used to predict the success of a candidate for a chosen vacancy, taking into account the peculiarities of the enterprise. GoRecruit helps HR work more efficiently by taking on routine, repetitive tasks, freeing up time to fully develop the company’s personnel strategy.

[knuckey]

Artificial intelligence and blockchain is a very promising technology to develop and I'm curious when you will launch the platform?
There are many users of your signature, is that a bounties?

[GoRecruit]

Artificial intelligence and blockchain is a very promising technology to develop and I'm curious when you will launch the platform?
There are many users of your signature, is that a bounties?

Hey! GoRecruit is an already working product, so the platform already exists, but the use of the GRT tokens will be possible after the ICO.
As for bounty, yeah, there is one: https://bitcointalk.org/index.php?topic=5041741

[GoRecruit]

Did you know that the relevance of the analysis of social networks for hiring a candidate has been confirmed repeatedly by scientific studies? Let us elaborate on this:

The pioneer in this area was Donald Kluemper of Northern Illinois University. In the article «Social Networking Websites, Personality Ratings, and the Organizational Context: More Than Meets the Eye?», published in 2012 in the Journal of Applied Social Psychology, he set himself to check whether it is possible to determine the severity of traits based on a Facebook profile analysis. The Big Five of its owner, to predict the likelihood of hiring this person to work, as well as its future effectiveness. The Big Five is a model of a human personality which includes five common and relatively independent features: extraversion, agreeableness, consciousness, neuroticism, and openness to experience.

To test his assumptions, the researcher asked three specially trained appraisers to analyze 274 profiles of real people on Facebook, and on the basis of this information, assess the severity of these Big Five traits among the owners of these profiles, as well as determine the likelihood of their hiring for the starting position in the services sector. Six months after this assessment procedure, the researchers tried to contact the leaders of the survey participants assessed and asked them to fill out questionnaires about the effectiveness of this worker.

The results showed a significant correlation between the assessments of personality traits on the Facebook profile and the performance evaluations obtained from managers. Besides, Facebook profile analysis turned out to be a more valid method of predicting the effectiveness of activities than the self-reported personal questionnaire. Considering that on a review of a single profile, appraisers took an average of 5 to 10 minutes, the assessment of a person based on the social network analysis is desirable for use in the personnel selection process.

The findings of Donald Kluemper have been confirmed by a series of further studies by scientists around the world. For example, in September 2013, researchers from the University of Pennsylvania and the Psychometric Center of the University of Cambridge published an article describing the results of an analysis of 700 million words, phrases and topics gathered from almost 70,000 people from Facebook messages. The report showed striking differences in the frequency of using different words and phrases between people of different gender, age and with different personality traits.

Thus, scientific researches confirm that the analysis of social networks is a convenient, fast and functioning resource for using it in the personnel selection process.

[LoveCryptoAll]

You wrote. "GoRecruit is an effective recruitment tool that uses social networking data to analyze and evaluate job candidates and help you choose the best." But, collecting data from social networks can be regarded as an invasion of privacy. If candidates find out about this, they can sue.

[knuckey]

Hey! GoRecruit is an already working product, so the platform already exists, but the use of the GRT tokens will be possible after the ICO.

Yes, I have registered and tried your platform, interesting for various companies that will find the best candidates to be recruited to become their employees later. So, have you got your first client, maybe a company in your country?

[GoRecruit]

But, collecting data from social networks can be regarded as an invasion of privacy. If candidates find out about this, they can sue.

A job applicant's consent is absolutely mandatory, without it the system won't get access to their social media profiles.

Yes, I have registered and tried your platform, interesting for various companies that will find the best candidates to be recruited to become their employees later. So, have you got your first client, maybe a company in your country?

Yeah, we've been on the market for a while now, the service is already being used by 470 companies.

[fibrolit]

GoRecruit
Can you tell us how the presale goes?

[GoRecruit]

GoRecruit
Can you tell us how the presale goes?

Hello, we have two private investors and an arrangement for investments with a fund.


Today, we'd like to explain what HR solutions GoRecruit offers for small businesses.

Small businesses can not afford a full-fledged HR-service, so the head of a company is often involved in selecting candidates. This function, being added to the main activity, is not always performed qualitatively and often depends on the personal preferences of the head of the company and doesn’t have a professional decision-making base. Besides, researches have shown that recruiting tasks consume from 25 to 25% of the time of a small business owner. These tasks distract executives from their most important work: running a business as such.

Suppose a business owner decided to hire a sales manager and placed an ad on the Internet. During the week 40 people responded to it. Each interview will take 30 minutes, resulting in about 20 hours — almost three full working days — spent searching for one candidate. It is necessary to take into account that this selection does not take place in a comfortable, calm atmosphere, but in the process of solving other business problems, therefore the efficiency, objectivity, and accuracy of the decisions made is a big question.

GoRecruit offers its own way to solve this urgent problem. The business owner sends an invitation to all 40 applicants, accepting which, they agree to the processing of their personal data. The system analyzes their data in social networks and assigns them a certain number of points. After reviewing the result, a business owner can invite only the highest rated applicants for an interview. Thus, he can save a significant amount of time and make a more balanced decision.

GoRecruit is an expert system that models the natural course of human thinking, trying to make an objective decision based on the many available parameters. The system is based on eight-year studies of sociologists and psychologists, and having a sizeable scientific base, can make a balanced and objective decision. Being built on the principle of Saas, GoRecruit service can be used by any entrepreneur or company, as it does not require significant expenditures and investments.

Thus, GoRecruit as an artificial intelligence system can be an effective and successful solution for small businesses, which constitute a significant part of all developed economies of the world.

[GoRecruit]

Yesterday we told you about HR problems that GoRecruit solves for small businesses and now we'd like to talk about how GoRecruit optimizes HR processes in large companies.

Automation of HR-processes is a matter of habit for large organizations. They have long been automating maintenance of personnel documentation, the calculation of compensation and benefits, performance management. However, the hiring process itself is still one of the least technologized fields. What problems does the employer face now and how does GoRecruit offer to solve these problems?

With the mass hiring, when it comes to dozens and hundreds of candidates, HR managers’ labor costs are significant: we need a huge entrance funnel and high-quality primary screening of candidates. Many candidates send a resume at random, not thoroughly reading the requirements, and recruiters have to view and filter out a ton of unnecessary information.

The GoRecruit system, as an AI system that assesses an applicant by social network profile, can qualitatively evaluate its suitability for the company at the first stage. Carrying out these routine tasks, the system frees the HR professional for a field of strategic activity: the recruiter can better deal with planning, analytics, personnel development programs, and loyalty.

HR managers themselves often formulate requirements for candidates intuitively, without using HR-analytics tools. For example, it is believed that any seller should be sociable and stress-resistant, but these are not always determining conditions, as other factors influence the making of a personnel decision. You can confirm or disprove these hypotheses with the help of data, and the more statistics, the more accurate the model will be.

GoRecruit system allows you to upload data on personnel movements within the company. Analyzing the statistics, the system helps to identify what kind of employees best meet the requirements of the organization. Artificial intelligence analyzes the statistics of the staff personnel movement and all the data about it and concludes that a certain human quality or a set of them is critical to success in this company.

Automating the preliminary assessment of candidates, which is offered by GoRecruit, as a whole allows us to speed up the recruitment process and reduce the company’s expenses, as well as significantly reduce the time spent on making personnel decisions.

[KitPat22]

Is smart contract already developed?

[GoRecruit]

Is smart contract already developed?

Hi, yes, you can see it on GitHub.

Alright, we explained why companies need to use GoRecruit, but our service is very advantageous for job seekers too! And here's why.

One study found that most recruiters make decisions about a candidate within the first 60 seconds of meeting with him, often based on first glance, handshake, dress, or speech. In other words, making decisions about the employment of a particular candidate rests on the subjective opinion of a personnel officer, who cannot always correctly relate his attitudes to the interests of the organization.

This order of things has a negative impact on applicants who experience a lot of inconveniences. The labor market gives them a kind of “illusion of choice.” Many candidates go to useless interviews, although in some cases it can be determined in five minutes that the company and the candidate are not suitable for each other. GoRecruit as an artificial intelligence system can avoid such situations and save time for both the employer and the applicant. More importantly, this system is unbiased and is guided by open sources, so the hiring process becomes transparent and open.

GoRecruit evaluates the applicant based on data from open sources and social networks. It calculates whether a candidate is suitable for the position he has chosen using a variety of independent parameters. Such a method excludes the human factor from HR-processes and reduces subjectivity. Algorithms will not miss a specific summary due to inattention, and will not immediately exclude a large number of applicants for non-objective reasons.

The next advantage of using GoRecruit for a job seeker is to save time. It’s not even about the fact that it takes a couple of minutes to apply for a position at GoRecruit, but for an interview with the company, it takes several hours to travel. The system evaluates the candidate quickly and efficiently, assigning him a rating, which is immediately evident to the HR service, who can rapidly also decide on hiring. In the case of a negative answer, the applicant may immediately continue his search for work, and not remain in the “hang state.”

GoRecruit creates equal and open conditions for hiring employees and makes the recruitment process transparent and efficient. This is a definite plus for future employees of any company, regardless of its size and specificity.