DaXtra Blog

Choosing the right resume/CV parsing software is a business critical decision for all recruitment companies. Getting it wrong means potentially missing out on qualified candidates, incorrectly...

Using employment application software in the real world involves a number of very practical challenges. Having a great CV parser and easy to use CV search software isn't enough to ensure a truly...

The database is at the heart of all modern recruitment companies – but getting the most value out of that database requires innovative recruitment database software which doesn't require you to...

Social recruiting is revolutionising the recruitment industry and posing significant challenges for resume tracking software. The traditional way of finding suitable candidates for a position was to...

Software for recruitment agencies has had to evolve fast over the past few years in response to unprecedented economic challenges affecting the global employment market. Here we take a look at some...

Many recruiters work in-house for large companies, helping to fill vacancies with current employees or external applicants. As well as all the pressures that operate on independent recruitment...

Glen Cathey posts a fascinating article into Semantic Search and its implications for Recruiters over at BooleanBlackBelt.com, reproduced with kind permission here.

Different parsers will perform with different accuracies on different sets of data. Thus, if accurate parsing is important to you, the only way to find out which is the best parser is to test it on a...

The two key measurements you should look for in a CV parser are Coverage and Accuracy.

Coverage

Describes WHAT a parser actually tries to extract.

In general, there are three types of approach to parsing a CV/resume:

• Keyword based parsers

• Grammar based parsers

• Statistical parsers

Keyword-based parsers

Definition.- A keyword-based CV...