Claims:We claim:
1) The system of online recruiter using big data technology is comprising of the contents such as;
a. Any electronic device having internet connection
b. Any open-source framework like Hadoop for data analysis which stored data on big data.
c. A web application for online recruitment system

2) The system claimed in claim 1 wherein, manage large volumes of applications in a short time.
3) The system claimed in claim1 wherein, is more efficient due to streamline the recruitment process using big data.
4) The system claimed in claim1 wherein, reduces the cost per hire.
5) The system claimed in claim 1 wherein, reduces average time needed to fill open positions.
, Description:FIELD OF INVENTION
The present invention discloses the system for online recruitment using big data technology.
BACKGROUND OF INVENTION
The Online Recruitment system is the process of hiring the potential candidates for the vacant job positions, using the electronic resources, particularly the internet.
It uses the internet for attracting, recruiting, and retaining job seekers and employees. It is also known as to as Internet recruiting, virtual recruiting and E-Recruitment.
But it is really time consuming because it has large volume of application.
Traditional online recruitment has several advantages such as wide coverage, low cost recruitment, recruiting without time and space constraints. But also have some problems like information fidelity, low success rate, and homogenization services seriously.
Online recruitment has the best feature that is Wide coverage. Network communication have the advantage of extensive coverage which is difficult for other media to compare with. Thousands of job vacancies information and job-seeking information can spread to every corner of the world in a very short period of time. Low cost of recruitment. Online recruitment can significantly reduce recruitment costs.
For the job seeker, the only things they need do is to pass the electronic resumes to their interested company without the need for expensive printing, copying, mailing, transportation and other expenses. For the employers, the online recruitment eliminates their advertising costs, travel expenses, intermediary service fees, and the employers only need to pay the fee of releasing information. Timely feedback. Job seekers and recruiters can quickly find their ideal positions and recruiting people through the query filter function on the site, so they can establish contact with each other in a very short time. Without time and space constraints. You can use the recruitment websites to find job or to recruit employees whenever the time is and wherever you are. The method of online recruitment avoids the restrictions of traditional methods of recruitment in terms of time and space.
But there are some issues with online recruitment system such as;
Low-fidelity information- Most recruitment sites do not require real-name authentication, which easily lead to some job seekers’ and recruiters’ dishonest behaviours such as false information and exaggerated abilities of job seekers.
Low success rate- A large number of invalid information will increase the likelihood of missing real qualifier. Besides, employers will spend a lot of time and effort to find potential employees. Thus, it’s necessary to improve the accuracy of information matching.
Homogeneous services- It’s inevitable to face the situation of homogeneous competition during the "pack and play" stage, and the online recruitment industry is no exception. Recruitment sites single business and profit model lead to cut-throat competition in this industry.
The present invention solves the above issues. The system, by collating, classifying and aggregating the online social network data and information created by users, we can form users centered database. Those big data technologies give us a new thought of developing online recruitment based on big data technology which will resolve the deficiencies of traditional online recruitment.
OBJECTS OF THE INVENTION
The main objective of the invention is that, the online recruitment system using big data technology.
Another object of the invention is that, the system has wide coverage.
Another object of the invention is that, the system has low cost recruitment.
Another object of the invention is that, recruitment without time and space constraint.
Other object of the invention is that, the system has More realistic and comprehensive information.
SUMMARY OF THE INVENTION
The present invention discloses the system for online recruitment with the help of big data technology. It has two options. First for employee and another for employer.
1)For employee - The user logs in to website of the online recruitment site. There user has to create the profile. Then user go for job search with filter. According to his job search filter data is shown to user. And user can apply for his choice of employer.
2)For employer – The employer logs in to website of the online recruitment site. There company’s profile has been created. And current vacancy is uploaded to system by employer.
Job seeker apply for particular post of particular company. Employer with help of big data technology make a list of suitable candidates. Employer communicate with candidates via phone or mail.
BRIEF DESCRIPTION OF DRAWINGS -
Fig 1 shows flowchart of the system and method for this invention.
DETAILED DESCRIPTION OF THE INVENTION
The present invention discloses the system of online recruitment using big data technology.
Big data is the vast volume of structured or unstructured data that is readily available at our collective fingertips. These large data sets are analysed to reveal previously unknown patterns and provide insights into businesses, human behaviour, and more. Big data analysis is used for everything from financial services, to gauging someone’s productivity, to even monitoring the weather.
Big data recruiting is more than merely screening resumes for keywords or social media data mining. It is a way to create a 360-degree picture of a candidate before they have even stepped foot in the building for their first interview. It extracts all the information from a candidate and then analyse the data.
The key feature of big data is to analyse, understand and interpret it in order to give employer a full a picture as possible about a candidate.
The system of online recruiter using big data technology is comprising of the contents such as;
Any electronic device having internet connection
Any open-source framework like Hadoop for data analysis which stored data on big data.
A web application for online recruitment system
Big data consists of five stages such as-
Data sources- web and social media, machines, Sensing, IoT
Content format – structured, semi-structured, unstructured data
Data stores – document oriented, column oriented, graph database, key value
Data Staging – cleaning, transform and normalization
Data processing – Batch and real time
The system of online recruitment using big data technology is comprising of the following steps such as;
Step 1) Web application for online recruitment is created and data for that web application is provided by big data
Step 2) Jobseeker check in website for job search
Step 3) Jobseeker create profile for job application
Step 4) Jobseeker searches the vacancy with filters
Step 5) Jobseeker apply for preferred post
Step 6) Employer got number of resumes
Step 7) By using feature of big data employer can make a list of suitable candidates for post in their company.
Step 8) Employer communicate to jobseeker using mail or phone.
Here, the role of big data technology is as of;
Big data is the analytical approach to accumulating and interpreting all of the data sets for trends and revelations and can be helpful in predicting a candidate’s success in a given role.
Use of big data is looking promising in the recruitment industry and it can become a standard in the future, as long as those employing it can make sense of it. Once you know what you’re looking for, you get an almost complete picture of a candidate, both professionally and personally – it is far more revealing than a one-page cover letter and an accompanying resume. Being able to do the job is only half the battle, aligning with company culture, ethos and core values is the rest.
Big data have some advantages for the invented system, such as; Removes bias in hiring because the hire won’t be based on subjective factors. Helps manage large volumes of applications in a short time. Streamlines the recruitment process, making it more efficient, thus reducing the cost per hire and the average time needed to fill open positions. Has the ability to predict talent needs by analysing trends in the voluminous data. Has the ability to predict the success of applicants by combining data mining with predictive analytics. By using statistical methods and techniques recruiters can forecast the probability of an occurrence using historical data. For example, they can make predictions about a candidate’s likely tenure with the firm should they be hired. Social networks are an invaluable source because they reveal whether a candidate might be a good fit for the culture of the firm. For instance, a social network might show that a candidate enjoys pastimes that might impair their productivity, such as excessive drinking or high-risk hobbies – red flags to any discerning recruiter.