Fusion 5.9
Product Selector
Use this job when you only want to compute item-to-item similarities. This method is more lightweight than the generic Recommendations job.
| Legacy Item Similarity job is deprecated as of Fusion AI 4.1.0. Use the ALS recommender job instead. |
Use this job when you only want to compute item- to- item similarities. This method is more lightweight than the generic Recommendations job.
The ID for this Spark job. Used in the API to reference this job. Allowed characters: a-z, A-Z, dash (-) and underscore (_)
<= 128 characters
Match pattern: ^[A-Za-z0-9_\-]+$
User/Item preference collection (often a signals collection or signals aggregation collection)
Solr query to filter training data (e.g. downsampling or selecting based on min. pref values)
Default: *:*
Collection to store batch-computed item/item similarities (if absent, none computed)
Solr field name containing stored user ids
Default: user_id_s
Solr field name containing stored item ids
Default: itemIdField
Solr field name containing stored weights or preferences the user has for that item
Default: weight_d
Batch compute and store this many item similarities per item
Default: 10
Additional spark dataframe loading configuration options
Default: cooccurrence
Allowed values: cooccurrence