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Fusion 5.11
    Fusion 5.11

    Use this job when you want to estimate ground truth queries using click and query signals with document relevance per query determined using a click/skip formula. Pair this job with ranking metrics job to calculate relevance metrics, such as nDCG

    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 (_). Maximum length: 63 characters.

    <= 63 characters

    Match pattern: [a-zA-Z][_\-a-zA-Z0-9]*[a-zA-Z0-9]?

    sparkConfig - array[object]

    Spark configuration settings.

    object attributes:{key required : {
     display name: Parameter Name
     type: string
    }
    value : {
     display name: Parameter Value
     type: string
    }
    }

    signalsCollection - stringrequired

    Collection containing click signals and the associated search log identifier

    >= 1 characters

    searchLogsAddOpts - object

    Additional options to use while loading search logs collection

    signalsAddOpts - object

    Additional options to use while loading signals collection

    searchLogsPipeline - string

    Pipeline id associated with search log entries

    >= 1 characters

    joinKeySearchLogs - string

    Join key of query signals in the signals collection

    Default: id

    joinKeySignals - string

    Join key of click signals in the signals collection

    Default: fusion_query_id

    filterQueries - array[string]

    Filter queries to apply while choosing top queries from query signals in signals collection

    topQueriesLimit - integer

    Total number of queries to pick for Ground truth calculations

    Default: 100

    type - stringrequired

    Default: ground_truth

    Allowed values: ground_truth