Users-for-Item Recommendations
Users-for-item recommendations retrieve the set of users who have interacted with an item, weighted by the number of interactions. This can be useful for community-driven use cases or for marketing campaigns. For example, on your organization’s intranet, clicking a search result could display the item plus a list of colleagues who have interacted with the same item.
This is one type of collaborative recommendation.
To enable this recommendation method, you only need to create a new collection and modify the configuration of the default recommender job, as explained below.
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Navigate to Collections > Collections Manager.
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Click New
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Enter a collection name, such as
<main-collection>_users_for_item_recommendations
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Click Save Collection.
TipYou can safely disable signals for this new collection. -
In your main collection, verify that signals and recommendations are enabled.
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Navigate to Collections > Jobs.
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Open the
<collection>_item_recommendations
job.Alternatively, you can create a new ALS Recommender job for these recommendations.
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Click Advanced.
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In the Users-for-items Recommendation Collection field, enter the collection name
<collection>_users_for_item_recommendations
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Click Save.