Legacy Product

Fusion 5.10
    Fusion 5.10

    Legacy Item 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.

    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.

    id - stringrequired

    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_\-]+$

    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