Co-occurrence Similarity Jobs
Use this job when you only want to compute item-to-item similarities. This method is more lightweight than the generic Recommendations job.
| Cooccurrence Similarity job is deprecated as of Fusion 4.1. |
Compute a mutual-information item similarity model
id - stringrequired
The ID for this Spark job. Used in the API to reference this job
<= 128 characters
Match pattern: ^[A-Za-z0-9_\-]+$
trainingCollection - stringrequired
User/Item preference collection (often a signals collection or signals aggregation collection)
trainingDataFilterQuery - string
Solr query to filter training data (e.g. downsampling or selecting based on min. pref values)
Default: *:*
outputItemSimCollection - string
Collection to store batch-computed item/item similarities (if absent, none computed)
userIdField - string
Solr field name containing stored user ids
Default: user_id_s
itemIdField - string
Solr field name containing stored item ids
Default: itemIdField
weightField - string
Solr field name containing stored weights or preferences the user has for that item
Default: weight_d
numSims - integer
Batch compute and store this many item similarities per item
Default: 10
trainingDataFrameConfigOptions - object
Additional spark dataframe loading configuration options
type - stringrequired
Default: cooccurrence
Allowed values: cooccurrence