Item-item similarities are similarities between items. Fusion computes similarities based on user-item preferences. You can use item-item similarities for whatever you want. The most common use is as input data for Spark-based collaborative filtering.
By default, the
<collection>_item_recommendations job is configured to produce item-item similarities and item-item recommendations.
To produce item-item similarities and item-item recommendations:
Click Search > > Home > Jobs.
In the Item-to-item Similarity Collection text box, enter
Click Save to save the job configuration.