Asset recommender

Important 

In Collibra 2024.05, we launched a new user interface (UI) for Collibra Data Intelligence Platform! You can learn more about this latest UI in the UI overview.

Use the following options to see the documentation in the latest UI or in the previous, classic UI:

The asset recommender suggests relevant assets based on the assets that were visited in the past. The recommendations provided can be based on the overall asset popularity across the organization or targeted for a specific user. Depending on where the recommendations are shown, they can also be categorized and filtered by asset type, domain, or community.

To ensure that the recommendations are based on up-to-date information, the asset recommender is retrained every day based on the asset recommender strategy.

Asset recommendations are shown on the homepage, homepage with featured content, and Data Marketplace. In the following example, the asset recommender shows popular and recommended data in Data Marketplace.

Tip For information on how we leverage AI in our products, go to the Collibra Trust Site.


Important 
  • The asset recommender is a cloud-only feature. It requires that application usage data is collected for the environment. This is achieved via the Collect Application Usage Data setting in Collibra Console, which is enabled by default. To change this setting, you need to create a support ticket.
  • Recommendations are not available in environments with names that contain one of the following strings: -qa, beta, -poc, ie-, infra-, docker, training, sandbox.
  • Recommendations in new environments will be empty or less meaningful for some time until the asset recommender has collected enough user behavior data.
  • If you just started using Collibra as a user, you won't receive any recommendations. You'll receive recommendations after using Collibra and after the daily retraining of the asset recommender.

Asset recommender strategy

The asset recommender is trained on asset visit data. The steps it roughly follows are:

  1. Data on asset visits—such as which users visited which assets, when, and how often—is collected and processed to assign a score to all asset and visitor combinations. The score reflects the interest of a user in the asset.
    Note Asset visits in Collibra platform and Data Marketplace are considered. Visits to the following names are not considered:
    • Names that contain the following strings: -qa, beta, -poc, ie-, infra-, docker, training, sandbox.
    • Names that do not contain .collibra.com
  2. A model is trained to predict all user-asset interest scores. The model learns to generate informative recommendations for assets and users based on the collected data.

    Note Certain asset visits are filtered out when the asset recommender is retrained, for example, assets visited by only one user, assets that are visited only once, and asset visits that take less than six seconds.

  3. The data collection and model training are triggered daily to ensure that asset recommendations are based on up-to-date information.

Troubleshooting asset recommender

Issue: You do not receive any recommendations where you expect them.

Possible reasons:

  • If you just started using Collibra as a user, you won't receive any recommendations. You'll receive recommendations after using Collibra and after the daily retraining of the asset recommender.
  • You visited assets, but the visits were filtered out during retraining. In this case, the asset recommender can't provide recommendations.
  • It is possible that no relevant assets can be suggested because of applied asset type, community, or domain filters where the recommendations are shown. For example, assets outside the Data Marketplace scope aren't recommended in the context of Data Marketplace.
  • It is possible that no relevant assets can be suggested in the environment.