RiteSearch is yet another AI-powered recruitment feature from the RiteHire Recruit platform conceptualised and developed by FeedFront Technologies made specifically for recruitment & HR professionals.
RiteSearch aka Advanced Boolean Search is a state-of-the-art, patent-pending NLP algorithm, designed to search through the thousands of candidate resumes within the internal repository of a company. This tool enables recruiters to identify the matching candidate profile within the whole repository in a span of a few seconds. Developed on the basic principles of a Boolean Search, RiteSearch uses far more advanced strings of operators to search for matching profiles from a pool of candidate profiles. RiteSearch is designed on the principles of a Boolean Search but is at a much more advanced level. Unlike its predecessor, RiteSearch uses multiple operators beyond the conventional boolean search namely ‘and, ‘or, & ‘not’.
RiteSearch is a logical progression of contextual screening of candidate resumes where the unstructured data from the resumes are already stored within the candidate repository in a structured format.
Companies involved in recruitment activities either for their internal purpose or recruitment agencies who recruit for their clients, use job portals regularly to search for candidate resumes whenever they have a need. The resumes that are sourced from time to time are stored locally and can be generally termed a ‘Resume Repository’. These repositories can range from a few hundred to a few million based on the scale of their recruitments. These resumes stored in the repositories are in an unstructured format and searching for a relevant candidate when in need is not easy as these are regular doc or pdf files stored within category-based folders which could be based on skills, experience, location, companies, etc. Searching for a relevant candidate will need opening and reading through each of these folders & resumes. The larger the repository, the bigger the problem since it involves dedicating manpower, resources in terms of cost & huge amounts of manhours. Hence, most organisations chose to simply ignore their repository and source fresh resumes from job portals as and when they have a need, but keep saving the downloaded files on their repository as a standard practice without any incentive. This is done despite the costs involved in fresh sourcing, duplication or redundancy of the resumes.
The resume repository is being meagerly used by converting unstructured data in the form of resumes into structured data. This is currently done manually by converting it into structured data & storing them on Excel sheets. The Excel way of storing data might yield some results when a keyword search is done on the data but has its own challenges such as dealing with manual errors, file size and storage issues, version management, access controls, security and many more.
More often than not, the files are simply dumped into folders labelled with either skill or role, meaning they have to open each of the resumes when a need surfaces. However, if they had a way to search for the right profiles from within their repository first before attempting a fresh search on the job portals that are chargeable, that solution would be the go-to option since that would make much more economic sense.
RiteHire Search is the AI-Powered solution that will allow organisations to have their own version of a job portal where all the resumes can be stored. The desired data can then be extracted from such an internal job portal in a structured format and can simply use Boolean Search parameters to search for suitable candidates within their own candidate repository.
As and when there is a need for a particular candidate, the recruiter will need to simply key in a search string, basis RiteSearch/ Advanced boolean operators to search for the specific candidate profile, even in the absence of a job description, from within the candidate repository and the search results are generated within seconds.
Companies now have the opportunity to utilise their own internal repositories by structuring them into searchable databases by deploying RiteHire Search. This will have a huge impact on not only the HR budgets of organisations but will directly impact the bottom lines of companies by up to 15% in terms of cost saving. The savings in terms of manpower resources and manhours saved is simply so huge that its difficult to quantify
