/AWS1/CL_PZR=>GETPERSONALIZEDRANKING()
¶
About GetPersonalizedRanking¶
Re-ranks a list of recommended items for the given user. The first item in the list is deemed the most likely item to be of interest to the user.
The solution backing the campaign must have been created using a recipe of type PERSONALIZED_RANKING.
Method Signature¶
IMPORTING¶
Required arguments:¶
IV_CAMPAIGNARN
TYPE /AWS1/PZRARN
/AWS1/PZRARN
¶
The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.
IT_INPUTLIST
TYPE /AWS1/CL_PZRINPUTLIST_W=>TT_INPUTLIST
TT_INPUTLIST
¶
A list of items (by
itemId
) to rank. If an item was not included in the training dataset, the item is appended to the end of the reranked list. If you are including metadata in recommendations, the maximum is 50. Otherwise, the maximum is 500.
IV_USERID
TYPE /AWS1/PZRUSERID
/AWS1/PZRUSERID
¶
The user for which you want the campaign to provide a personalized ranking.
Optional arguments:¶
IT_CONTEXT
TYPE /AWS1/CL_PZRCONTEXT_W=>TT_CONTEXT
TT_CONTEXT
¶
The contextual metadata to use when getting recommendations. Contextual metadata includes any interaction information that might be relevant when getting a user's recommendations, such as the user's current location or device type.
IV_FILTERARN
TYPE /AWS1/PZRARN
/AWS1/PZRARN
¶
The Amazon Resource Name (ARN) of a filter you created to include items or exclude items from recommendations for a given user. For more information, see Filtering Recommendations.
IT_FILTERVALUES
TYPE /AWS1/CL_PZRFILTERVALUES_W=>TT_FILTERVALUES
TT_FILTERVALUES
¶
The values to use when filtering recommendations. For each placeholder parameter in your filter expression, provide the parameter name (in matching case) as a key and the filter value(s) as the corresponding value. Separate multiple values for one parameter with a comma.
For filter expressions that use an
INCLUDE
element to include items, you must provide values for all parameters that are defined in the expression. For filters with expressions that use anEXCLUDE
element to exclude items, you can omit thefilter-values
.In this case, Amazon Personalize doesn't use that portion of the expression to filter recommendations.For more information, see Filtering Recommendations.
IT_METADATACOLUMNS
TYPE /AWS1/CL_PZRCOLUMNNAMESLIST_W=>TT_METADATACOLUMNS
TT_METADATACOLUMNS
¶
If you enabled metadata in recommendations when you created or updated the campaign, specify metadata columns from your Items dataset to include in the personalized ranking. The map key is
ITEMS
and the value is a list of column names from your Items dataset. The maximum number of columns you can provide is 10.For information about enabling metadata for a campaign, see Enabling metadata in recommendations for a campaign.