Deploying Smart Search Techniques for Talent Acquisition
By Aiyana Reyes · · 3 min read
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Deploying Smart Search Techniques for Talent Acquisition
Introduction
Today the number of people who wish to obtain a job is rapidly increasing. Because of the large number of applicants looking for jobs, companies receive numerous resumes for each job opening. It becomes difficult for a company to choose the right candidate from all the resumes they receive. The wrong choice can cause the company wasted time and money. Because it is so important to choose the best candidate, the screening of resumes is key to hiring the right candidate. To help businesses in their decisions, Business Pointers has developed an application to help your company to hire the best candidate.
How Parsing Technology helps you cover the Recruitment Cycle
The professional HR recruiter is required to sort and track each applicant’s information from multiple sources in an applicant system. Due to the complexity of the recruitment system, a technique known as parsing is required. Business Pointers application uses parsing to analyze content and fetch data while converting different styles of resumes into structured information useable for storage, reporting, and manipulation.
This will reduce the burden on the recruiters from having to sort out and track the applicant’s information, which will help to identify the best possible applicant.
Using the parsing technique will reduce time required for the recruitment process, which will ultimately reduce the risk of losing the applicant. The parsing technique automates and simplifies the recruitment process.
Types of Parsers
There are three types of parsers.
- Keyword based parsers.
- Grammar based parsers.
- Statistical parsers.
Keyword based parsers identify words, phrases and simple patterns in the text of the resume and then by applying simple heuristic algorithms to the text, the words are found.
Grammar-based parsers, by contrast, contain a massive number of grammatical rules that seek to understand the context of every word in the resume. In order to obtain the meaning, some words and phrases may be combined together to make complex structures that capture the meaning of every sentence in the resume.
Statistical parsers attempt to apply numerical models of text to identify structure in resumes. Statistical parsers require a vast number of resumes that are manually marked up with all the information that is required to be extracted.
How the Parsing Technique will work for different Industries
- The Recruitment process will be same for every organization for hiring new candidates.
- Each industry’s parsing technique will be same, but the search criteria will be based on the organization’s background.
- In the case of the Health Care industry, the parser will search for medical students such as MBBS, dental students, etc. The parser will read for skill sets based on a medical background.
- �In the case of engineering industries, the parser will filter the candidates of particular engineering specializations from among the resumes of all engineers.
- Apart from education, other criteria can also be set for selecting a resume. For example, an organization can refine the resumes on the basis of salary expected by the candidate.
- The parsing technique can also filter the resumes by a particular skill that a company requires in its employees.
Application Developed by Business Pointers
Business Pointers, an emerging name in the IT industry, has developed an application that will assist your company by simplifying the tedious process of resume searching. This application will help you find the right candidate that your organization requires.
Business Pointers, Incorporated
**Website:**www.business-pointers.com
Address: 12020 Sunrise Valley Drive Suite 104 Reston, VA 20191, Tel: 1-(703)-723-9979
Email: [email protected]