Translations:Course-v1:edz+11+2023 SP/en/block-v1:edz+11+2023 SP+type@html+block@b7b49b44f96c44a8af5e22b2a41fdae9/content/en

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This video is focused on how to use  the depth features on categories in Petscan. As we explore this section, you'll learn how categories can sometimes hold content that may not directly relate to the topic you're interested. Categories can be both broad and deep, leading to unexpected content associations. These kinds of ad-hoc crowd sourced taxonomies called <a href="https://en.wikipedia.org/wiki/Folksonomy" target="[object Object]">Folksonomies</a>, can produce unexpected results that you will have to filter and manage.

We'll examine the concept of 'depth' in categories, which affects how content is organized and linked. Deeper layers might contain content that isn't entirely relevant to your query, as we'll see through examples. We'll also address the importance of carefully selecting the right depth level to avoid overwhelming the tool. And as we explore, remember that you can add or remove categories to refine your query, influencing the results you obtain.

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