Legacy Product

Fusion 5.10
    Fusion 5.10

    Legacy Item Recommender Jobs

    Compute user recommendations based on a pre-computed item similarity model.

    Use this job when you want to compute user recommendations based on pre-computed item similarities.

    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)

    itemSimCollection - stringrequired

    Collection containing item-to-item similarity values (computed by any means)

    outputRecsCollection - stringrequired

    Collection containing item-to-item similarity-based recommendations

    trainingDataFilterQuery - string

    Solr query to filter user preferences

    Default: *:*

    prefUserIdField - string

    Solr field name containing stored user ids in the preference collection

    Default: user_id_s

    prefItemIdField - string

    Solr field name containing stored item ids in the preference collection

    Default: item_id_s

    prefWeightField - string

    Solr field name containing preference weight in the preferences collection

    Default: weight_d

    itemSimQuery - string

    Solr query to filter item similarities (e.g. to filter by similarity type, or algorithm id)

    Default: *:*

    simItemIdField - string

    Solr field name containing stored item ids in the item-similarity collection

    Default: item_id_s

    simOtherItemIdField - string

    Solr field name containing the ids for the *other* item similar to the main item

    Default: other_item_id_s

    simSimField - string

    Solr field name containing item-item similarity value in the item-similarity collection

    Default: sim_d

    numRecsPerUser - integer

    Limit on the maximum number of recommendations to compute per user

    Default: 10

    type - stringrequired

    Default: item_similarity_recs

    Allowed values: item_similarity_recs