Traditional keyword searching, which a lot of companies and websites still rely on, works in a set and specific way. This is because it operates on the principle of ‘stemming’, and doesn’t actually take into account meaning when producing results. Simply put, keyword searches look for exact matches, even if this means it produces results you may not be looking for. For example, a search for ‘canvas’ can refer to something you paint on, a kind of shoe, tarp you use for construction, and much more.
You may notice that a lot of websites have a ‘basic’ and ‘advanced’ option (alternately this may be called refine), though most people won’t use the latter. When they do, they tend to end up with a narrower list of options than actually available on the website.
Unlike a basic keyword search, artificial intelligence utilises natural language search technology, which basically means it takes into account meaning and is able to detect categories in a straightforward way. Here’s our CEO James Kevan unpacking this just a little bit more:
Having a search engine that is able to understand the nuance of meaning can really optimize user experience on any given website. It also has a ton of practical applications that go beyond the simple search online: AI search technology enables websites like LEAP to scan resumes in the same way a recruiter would be able to, and even distinguish things like quality and kind of experience.
As the implementation of AI becomes more common, consumers are finally going to get close to experiencing search engines that are more intuitive than clunky. The applications are endless – the tech we use here at LEAP just happens to be a pretty good example of that.
This month, we’re talking about tech! To learn more about how we use AI at LEAP, head over to our article page.