# Does Screena provide rules-based and/or fuzzy matching capabilities?

Screena name-matching approach is twofold with a combination of **deterministic rules** and **predictive scoring** methods to minimize false negatives (i.e., achieving high recall) and false positives (i.e., achieving high precision).

Rules-based and fuzzy matching is the core approach to ensure **high recall** before reducing false positives through our machine learning models.

We first employ traditional **edit distance algorithms** such as [Jaro](https://en.wikipedia.org/wiki/Jaro%E2%80%93Winkler_distance) to measure string similarity when initiating searches on lists. We also apply **rules-based algorithms** and use proprietary name libraries to detect specific name patterns that can not be addressed through string distance alone. These include, but are not limited to:

* Name order variations and missing name components,
* Misspellings and errors (inverted letters, missing letters, substituted letters),
* Truncated names,
* Name concatenations,
* Acronyms and initials,
* Nicknames, synonyms and common aliases,
* Titles, honorifics and company legal forms,
* Phonetic resemblances,
* Detection of stopwords, linking words and weighting of common words,
* Detection of locations (cities, towns, regions, ports),
* Numbers variation,
* Domain names.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://help.screena.ai/resources/faq/name-matching/does-screena-provide-rules-based-and-or-fuzzy-matching-capabilities.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.