Send Related Recommendations

Similar to global recommendations, Fire App Builder gets related recommendations from your media feed. Whereas global recommendations are sent when the app starts, related recommendations are sent when a user watches a video that includes recommendations in the media item's details. This article provides step-by-step instruction for setting up related recommendations.

In summary, you will add a recommendations element listing content IDs to each item in your feed. Your existing content recipe already targets the item's details. You just need to map the recommendations element in your matchList parameter.

For more general information about recommendations, see Recommendations in Fire App Builder.

  1. In your feed, add a recommendations property within each item where you want to send recommendations. The recommendations property should point to a list of content ID strings.

    For example, if your feed is in JSON, a media item containing related recommendations might look like this:

          "id": "162270",
          "title": "Thai Recipes - Thai Chicken Noodles Recipe",
          "description": "Thai Recipes - Thai Chicken Noodles Recipe",
          "duration": "355",
          "thumbURL": "http:\/\/\/_thumbs\/0000162\/0162270\/0162270__015f" type="jpg",
          "imgURL": "http:\/\/\/_thumbs\/0000162\/0162270\/0162270__015f" type="jpg",
          "videoURL": "http:\/\/\/802E1F\/process\/encoded\/video_1880k\/0000162\/0162270\/D8HFLX0AC.mp4?source=firetv&channel_id=6341",
          "categories": [
            "International Cuisine"
          "channel_id": "6341",
          "recommendations": [

    If your feed is XML, it might look like this:

            <title>Sample Title</title>
            <pubDate>Wed, 26 Oct 2016 20:34:22 PDT</pubDate>
            <author>Sample Author name</author>

    Related recommendations should be included in a specific item's details because each item will have its own recommendations to send. The recommended IDs should be related to the item by theme, genre, episodes, or some other connection.

    The recommendations property can appear anywhere within the items details, and it can use a different name other than recommendations. In the following steps, you'll write a query in a recipe to target the values that your recommendations element contains.

    Note that if you have an MRSS feed that conforms to iTunes specifications, adding custom elements may require more coding, since you'll need to define custom namespaces to use in your XML. (Instructions on adding custom namespaces in XML is beyond the scope of this documentation.)

  2. In your app's assets > recipes folder, open your app's contents recipe file. (You most likely renamed this file when you set up your contents recipe. Originally the file was called LightCastContentsRecipe.json.)
  3. In the matchList parameter, add a match for the recommendations element. For example, the matchList parameter might look like this:

      "cooker": "DynamicParser",
      "format": "json",
      "model": "",
      "translator": "ContentTranslator",
      "modelType": "array",
      "query": "$.items[?(@.categories[0] in [$$par0$$])]",
      "matchList": [

    For more details on the query parameter here, see the query Parameter section in Set Up the Contents Recipe. Because you already have a recipe that targets the items in your feed, you just have to match the newly added recommendations element within the items. You don't have to define a new query to target the recommendations.

    If you named your recommendations element something else, such as related_recommendations, you would match the element like this:


    The left side of the @ contains the property name in your feed; the right side of @ contains the Fire App Builder's model.

    In order to build its model (and app UI), Fire App Builder requires you to map content to these queries: mTitle, mId, mDescription, mUrl, mCardImageUrl, and mBackgroundImageUrl. When sending recommendations, Fire App Builder uses some of these basic tags in building the recommendations. These tags correspond with content required by the standard Android recommendations API (see ContentRecommendation.Builder). However, you can send additional information (if desired) to better customize the recommendation for Fire TV. See Amazon extras for more details.

  4. (Optional) If you want to limit the number of related recommendations your app sends, you can use the numberOfRelatedRecommendations property (inside config) in Navigator.json to specify a limit, like this:

    "config": {
      "showRelatedContent": true,
      "useCategoryAsDefaultRelatedContent": true,
      "searchAlgo": "basic",
      "numberOfGlobalRecommendations": 3,
      "numberOfRelatedRecommendations": 3

    This number limits the number of related recommendations your app can send. After this number of recommendations is reached, your app won't send any more related recommendations until the refresh period.

    Note that Fire TV must receive at least 5 recommendations from all apps combined in order to display the Recommended By Your Apps row to users. If you don't specify the number of related recommendations here, 5 is used as the default.

To test your related recommendations, see the general instructions in Fire TV documentation: Test Your Recommendations.

Keep in mind that the Recommended By Your Apps row on Fire TV is outside of the control of the Fire App Builder app. However, you can see that your app is building and sending related recommendations by looking in the Android Studio logs.

After starting your app, in Android Studio click Android Monitor at the bottom of the screen and then filter on the word recommendation. You'll see logs indicating that related recommendations have been built and sent. For example:

03-24 18:39:09.365 18717-18757/ D/RecommendationTable: record updated in database: RecommendationRecord{mContentId='99570', mRecommendationId=4, mType='Related'}
03-24 18:39:09.368 18717-18757/ D/RecommendationSender: Built recommendation - Consuming Passions Chips Recipe | Belgian Style

mType='Related' indicates that the recommendation sent is a related recommendation.

Note that in your tests, your app will not send more than limit you set in Navigator.json file. For example, suppose you have the following in Navigator.json:

"numberOfRelatedRecommendations": 3

But your list of recommendations contains 5 content IDs. In this case, only 3 recommendations will be sent.

Next Steps

You've integrated both global and related recommendations. Amazon allows you to send extra values with your recommendations. These extras allow you to customize your recommendations to better fit the Fire TV Home screen. Go to the next step, Customize the recommendations with Amazon extras.