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Video Recipes / Fully Personalized Homepage / “Recommended For You” Rows

“Recommended For You” Rows

Introduction

With a particular emphasis on customizable filters, our advanced recommendation algorithms curate rows on your viewers' homepage that align precisely with their unique preferences. They can enjoy a homepage that truly reflects their taste, ensuring each video suggestion is a perfect match.

You can add a "For You" row, along with other personalized rows such as a "New Releases For You", a row with content from user's country or area, and much more thanks to our flexible filters.

Scenario Setup

In the Recombee Admin UI, navigate to the Scenarios section and choose Create Scenario.

  1. Enter a Scenario ID. The Scenario ID depends on what content will be shown in the particular box (what Filter will be applied), so it can be e.g. top-picks-for-you, local-content-for-you, or new-releases-for-you
  2. Choose Recommendation type - Items to User (as we want to personalize the content based on the user’s watching history)
Admin UI - Scenario Setup

Logic

The Logic defines the behavior of the recommendation engine.

  • Choose the video:personal logic type from the Video models to recommend assets based on the user’s watching history

Based on the assetType parameter you can choose what type of assets will be returned (e.g. movies, series, episodes, or movies and episodes, etc.).

Using the excludeAlreadyWatched parameter you can either allow or filter out the titles the user has already watched.

Admin UI - Logic

Filters

New Releases
Local Content
Available Assets (Global Settings)

Boosters

Boost Content Picked by the Editorial Team

Requesting Recommendations

There are two ways to get recommendations.

  1. HTML Widget - create an HTML Widget using the visual editor in the Admin UI.
  2. API & SDK - request the Recommend Items to User endpoint of the Recombee API using an SDK of your choice.

For more information navigate to the Integration tab of the Scenario in the Admin UI.

In order to request content for multiple rows with a single API request, use the Batch endpoint and put the recommendation requests inside it. Set the parameter distinctRecomms in order to deduplicate the assets among the rows.

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