> For the complete documentation index, see [llms.txt](https://docs.abtasty.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.abtasty.com/onboarding/recommendation-merchandising-and-search-quick-start-guide/glossary.md).

# Glossary

This article provides a comprehensive list of terms used throughout the platform. If you identify any missing terms, please email us at <product.feedback@abtasty.com>.

## Recommendations <a href="#h_01jdmgqjfrk0dk6xwkkn0z6syr" id="h_01jdmgqjfrk0dk6xwkkn0z6syr"></a>

Automated and personalised product suggestions based on variable-based algorithms. There are two types of recommendations:

1. Recommendations on website
2. Recommendations by mail

## Merchandising <a href="#h_01jdmgqts9hs5ra54myyga7ph4" id="h_01jdmgqts9hs5ra54myyga7ph4"></a>

The strategic organisation and display of products on a website’s category pages.

## Integrations <a href="#h_01jdmgqz5bd3969czwcx4kd69d" id="h_01jdmgqz5bd3969czwcx4kd69d"></a>

The process of linking tools such as CMS, analytics, or marketing automation platforms to the AB Tasty Recommendations & Merchandising platform to retrieve data and configure recommendations and merchandising settings.

## Algorithms <a href="#h_01jdmgr3xf6e2wwxadffzxf4tk" id="h_01jdmgr3xf6e2wwxadffzxf4tk"></a>

Pre-set or customisable formulas used to determine the types of products recommended to users based on variables.

## Visitors <a href="#h_01jdmgr8drmvghrxfpeve2cxtj" id="h_01jdmgr8drmvghrxfpeve2cxtj"></a>

All individuals who navigate to the website.

## Exposed Visitors <a href="#h_01jdmgrbw5c1fxfy0whdy2f3eg" id="h_01jdmgrbw5c1fxfy0whdy2f3eg"></a>

Visitors who are shown the personalisation experience on the website.

## Users <a href="#h_01jdmgrf90r66bhk5m5sge8gj7" id="h_01jdmgrf90r66bhk5m5sge8gj7"></a>

Individuals who both see and interact with the personalisation experience.

## Placements <a href="#h_01jdmgrjsyqj7qbz5jjv9c1f9c" id="h_01jdmgrjsyqj7qbz5jjv9c1f9c"></a>

Pre-set or customisable areas on the website where personalisation experiences are displayed. These placements define the variables that algorithms can use.

## Variables <a href="#h_01jdmgrpx25g4c9pe6gbea1hke" id="h_01jdmgrpx25g4c9pe6gbea1hke"></a>

Pre-defined or customisable elements that enable the retrieval of information to be used in algorithms for configuring experiences.

## Filters <a href="#h_01jdmgrt71tgqcvdvdb6rn1mfa" id="h_01jdmgrt71tgqcvdvdb6rn1mfa"></a>

Criteria applied to algorithm parameters to refine the displayed product results. Filters use properties and operators and can be dynamic when based on variables.

## Exceptions <a href="#h_01jdmgrx8erp5w80qcv1jtyq93" id="h_01jdmgrx8erp5w80qcv1jtyq93"></a>

Special criteria applied to adjust algorithm results based on specific conditions. Exceptions use a “when” clause to define triggers and apply specific filtered algorithms.

## Shuffle <a href="#h_01jdmgs0h18ndqkz6vq25029tm" id="h_01jdmgs0h18ndqkz6vq25029tm"></a>

A feature that randomises the order of products shown in experiences, ensuring users see a varied selection with each visit.

## Highlight Products <a href="#h_01jdmgs424ftg3wrvxcrrc0rjf" id="h_01jdmgs424ftg3wrvxcrrc0rjf"></a>

Products explicitly promoted or prioritised in recommendations and merchandising configurations. Highlighted products are always displayed at the forefront of results.

## Preview <a href="#h_01jdmgs9jp8fhk5yntr9nzq8sg" id="h_01jdmgs9jp8fhk5yntr9nzq8sg"></a>

A tool that lets users view and interact with a recommendation or merchandising setup before it is published.

## API (Application Programming Interface) <a href="#h_01jdmgsddk3aamygw4045gttzg" id="h_01jdmgsddk3aamygw4045gttzg"></a>

A set of protocols and tools that enable integration and data exchange between AB Tasty Recommendations & Merchandising and other platforms.

## Report <a href="#h_01jdmgsgdzq31fjnavqaxe5d57" id="h_01jdmgsgdzq31fjnavqaxe5d57"></a>

A feature that provides detailed performance metrics for personalisation experiences, including clicks, revenue impact, and user engagement.


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