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Trending recommendations lists

Important

Azure Intelligent Recommendations Retirement and Migration Plan

Azure Intelligent Recommendations will be retired on March 31, 2026.

We're retiring the product due to changes in strategy and focus with the onset of the copilot era. Currently, there are no equivalent services available within the Microsoft stack, so we can't offer a migration plan to a similar service.

Next steps:

  • Identify or build an alternative.
  • Migrate all your traffic to the chosen alternative.
  • Stop calling the Recommendations endpoint before the shutdown date.
  • Delete all service endpoints, modeling, and IR accounts in the Azure portal before the shutdown date.

We'll continue to monitor and maintain Azure Intelligent Recommendations during the retirement period. After the product is retired, we'll keep the service data for three months before deleting it.

Trending lists in Intelligent Recommendations enable browsing a content catalog using algorithmic charts sorted by information such as total sales, sum of clicks, release date, or a combination of different metrics. You can further scope trending lists to specific time windows and aggregations to surface the most popular or best-selling products to users. We currently support three base types of trending lists:

  • New
  • Trending
  • Popular

Trending lists provide the following capabilities:

  • Flexible filtering schema, so you can filter lists to specific categories or other metadata, focusing on items of interest

  • Personalization, so you can increase the item's relevance and supply a better match based on a user’s history or preferences

This article describes several trending lists scenarios you can use in Intelligent Recommendations. These scenarios are flexible, so you can modify them according to your business needs.

You can tailor a Popular chart to focus on basic consumption, overall popularity, or revenue. Intelligent Recommendations supports metrics such as sales figures, usage counts, game play counts, time spent with content, and more.

Examples of popular products:

  • Most popular restaurants

  • Best-selling shoes for women

  • Most viewed videos or articles

With the New and rising releases chart, you can highlight a specific subset of products by using various time-based or time plus popularity-based metrics to surface new or trending items.

Examples of trending items:

  • New releases in movies

  • New arrivals for clothing

  • Trending coats

  • Trending music videos

  • Trending articles for this topic

See also

Fine-tune results
Use personalized recommendations lists
Provide item-based recommendations lists

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