Ground TruthJob configuration specifications
Estimate ground truth queries using click signals and query signals, with document relevance per query determined using a click/skip formula.
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