> For the complete documentation index, see [llms.txt](https://wp.dagama.world/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wp.dagama.world/architecture/trust-rating-algorithm/ai-vasco-recommendation-algorithm.md).

# AI Vasco recommendation algorithm

AI Vasco is a recommendation system that is constantly being retrained. The retraining is done to provide the user with recommendations that match their interests. Our system interacts with:

* Databases of tags, points, and ratings
* The locations that the user visits
* The content that the user posts
* The categories of establishments
* The ratings and reviews

By interacting with these elements, AI Vasco provides the user with a result in the recommendation system. This feature ensures that our users are only presented with relevant content.

<figure><img src="https://420424460-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F1AEOSTXDDSHXzs1CWPxq%2Fuploads%2FHbOHfi8yEGZPvxrUJvY5%2FAI%20Vasco%20algorithm.png?alt=media&amp;token=ccf34d9b-93d6-43ef-a6b3-26973da6ae85" alt=""><figcaption></figcaption></figure>

In addition, the [recommendation system](/product/for-business/promotional-tools.md) helps businesses attract new customers. daGama only recommends places that will be of interest to the user, eliminating unnecessary information from their life.

AI Vasco is also used when[ creating itineraries](/product/for-user/creating-recommendations-and-iteneraries.md), offering the user a route they can take that is based on their interests.

By retraining and learning more about each user, AI Vasco will always provide the most relevant recommendations for users.

<figure><img src="https://420424460-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F1AEOSTXDDSHXzs1CWPxq%2Fuploads%2FJwyfPQDlsqqy60UzipCv%2Frelevant%20recommendations.png?alt=media&amp;token=69afbb55-b945-4544-a645-5f0c7227d0a7" alt=""><figcaption></figcaption></figure>