Tag Archives: CV Parsing

Searching Resumes; the Semantic way!

Semantic search

Search resumes Semantic way!

Human wants are endless and we keep on searching what makes us happier, unhealthy better and efficient. So as goes for recruitment industry that has taken a radical shift with more new methods coming in for recruitment, sildenafil sourcing and social media. Now Semantic searches are done on resume databases to find closer results for job advertised or vice versa, but one has to be tech savvy to get the best results grilled out. So here’s a brief about Semantic for the laymen:

“Study of meaning, inherent at the levels of words, phrases, and sentences. It also stands for word-to-word searches and meaning of words and phrases at the conceptual, contextual and grammatical level. In short it means a lot.” The best way to know more, please watch this presentation on Slide share by the best in business, Glen Cathey.

Now every new company claiming as HR solution provider has got foot in the door and made competition fiercer than ever. Here customer needs to be aware of marketing gimmicks and real-implications of having technology in place. So how can one use technology to its fullest. Very simple, seek the answer within.

  • Chalk out the objective of having it in the first place. Pros/Cons
  • Real- time benefits, time-frame of seeing visible changes.
  • Business growth and acquisitions of new customers or markets.
  • Creating a niche or a distinct brand of itself in the market.

If the technology answers these simple questions, you can opt for the solution a lot easily. Now coming back to Semantic in resume search, let’s see how this can make a difference in your resume reading.

A Save money, save time by getting the best out-of-resumes for job advertised and closest match as per skills, core competencies and other organizational attributes required.

B Understand resume, know more than others by using Semantic search to carve out relevant Key skills required in a candidate. As Semantic helps organizing both structured and unstructured data, the ideal matches comes a lot faster than by traditional ones.

C Match technologies understand differences between job descriptions and candidate resumes thereof it lets you find out the standout candidates easily.

Now what effect it can bring to your searching; eliminate the need of recruiters to have specialized knowledge of industry specific keywords or terminologies, reduce your time considerably to find relevant matches, meaning beyond words, groups or sentences. Deep understanding of titles, skills, concepts, Relationship between the words and concept analyzed automatically via fuzzy matching. So its time for you to take your search to next level via Semantic search option and make your hiring proficient. Please share your feedbacks on this amazing technology and how better we can lift our resume searches.

Resolving the Data Problems

Enterprise resource planning (ERP) software is considered to be an extremely effective tool for increased productivity in the operations of a company. ERP allows various departments to use the same database and that alone cuts down on communications problems. However, remedy nothing created by man does not have its flaws and ERP does have a few challenges which have to be met.

One of these involves data, which might not be easily fit into the ERP templates. Data derived from resumes can be particularly difficult, since the information can vary from one search to another. This can result in recruiters ignoring the human capital module of ERP and using Excel spreadsheets. This defeats the purpose of ERP and there has to be a way to input data into databases with the assurance of accuracy. One of the leading resume parsing companies in the industry, RChilli Inc. , can rise to meet that challenge.

RChilli Inc. steps forward where others can’t at all. The services provided to a client are invaluable for any that make use of ERP because:

  • The RChilli Inc. can be integrated with the ERP database and the employment data extracted from any resume can be saved directly to a ERP database;
  • It is scalable and integration with desktop applications using C#.net  can be done using SOAP;
  • Literally thousands of resumes can be parsed and analyzed for data. There are no less than 37 fields that can be used to sort the information, and these fields can be customized to better respond to a given talent search project;
  • There is absolutely no need for manual data entry. The RChilli Inc. product is able to process one resume in a matter of seconds and handle processing jobs of over 25,000 resumes in one night if need be. The data is ready for analysis in an incredibly short period of time;
  • As suggested above, this is entirely automated. It means that the data has almost no chance of mistakes made by overworked employees and the information is consequently highly accurate.

The fact that RChilli Inc. can process data to be easily put into an ERP database by itself is enough to guarantee high levels of efficiency. Human resources recruiters can be spared the arduous task of manually inputting information into Excel spreadsheets which, though highly efficient in a number of ways, can have human error in the equations. Highly reliable data delivered quickly and from the company’s main ERP database means that recruiters immediately become even more productive and searches conducted are highly efficient.

The same recruiters have no reason to fall to the temptation of trying to go around and ERP database and create private sources of information. The RChilli Inc. product makes data entry efficient, automated and the information extracted highly reliable. All of this on the ERP system which the client company so greatly relies upon.