We examined the performance of four families of large language models (LLMs) and a variety of common fuzzy matching algorithms in assessing the similarity of names and addresses in a sanctions ...

In financial compliance, even small mismatches in data can have outsized consequences. Whether it's reviewing sanctions alerts, verifying customer names, or screening payments, organisations rely on ...

Abstract: Traditional matching methods rely on accurate mathematical models, but in the real world, the characteristics or attributes of network nodes are often fuzzy and difficult to describe with ...

We independently select these products—if you buy from one of our links, we may earn a commission. All prices were accurate at the time of publishing. The iconic fuzzy toilet seat cover is likely an ...

As of 2.0.0, all empty strings will return a score of 0. Prior, the partial scoring system would return a score of 100, regardless if the other input had correct value or not. This was a result of the ...

Abstract: This work aims at designing a fuzzy matching algorithm that would automatically recognize an unknown ballet posture from seventeen fundamental ballet dance primitives. A novel and simple ...

If you are an SEO practitioner or digital marketer reading this article, you may have experimented with AI and chatbots in your everyday work. But the question is, how can you make the most out of AI ...

As part of a master data management (MDM) implementation, a series of rules must be implemented to determine if two records refer to the same real-world entity that they represent. In the world of MDM ...