Abstract: Privacy-preserving bilateral task recommendation is an emerging functionality in mobile crowdsensing, enabling two-sided matching for both task publishers ...

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 ...

Learn how to transform into “Gumball,” the fuzzy monster, with this creative makeup tutorial. In this speed painting, you’ll see the full process of bringing this fun and furry character to life using ...

You can expect to see a team of five players known as Beevis, who are equally notable for their fashion sense as they are for their trivia prowess, every Monday at 7 p.m. at Fuzzy’s Tacos in Braeburn ...

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 ...

Enhance the recipe search functionality to use fuzzy matching (e.g., Levenshtein distance) to return results even when the search input contains typos or is not an exact substring. Users may make ...

Accurate identity verification is essential in today's digital spaces, where our personal information is often just a click away. With identity theft and fraud on the rise, ensuring that individuals ...

According to wikipedia fuzzy matching is a technique used in computer-assisted translation as a special case of record linkage. It works with matches that may be less than 100% perfect when finding ...

I have a fairly small corpus of structured records sitting in a database. Given a tiny fraction of the information contained in a single record, submitted via a web form (so structured in the same way ...

Abstract: This paper studies some fuzzy schemes that can be applied in matching algorithms. A fuzzy matching algorithm is constructed by applying the fuzzy commitment technique on unary numerical ...