# Recommendations Starting from version `0.6.x`, Metarank supports three types of recommendations: * [Trending](/reference/overview/recommendations/trending.md): popularity-sorted list of items with customized ordering. * [Similar items](/reference/overview/recommendations/similar.md): matrix-factorization collaborative filtering recommender of items you may also like. * [Semantic](/reference/overview/recommendations/semantic.md): a content-based semantic similarity recommender, based on neural embeddings. --- # 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://docs.metarank.ai/reference/overview/recommendations.md?ask= ``` 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.