/AWS1/CL_PZRPREDICTEDITEM¶
An object that identifies an item.
The and APIs return a list of
PredictedItems.
CONSTRUCTOR¶
IMPORTING¶
Optional arguments:¶
iv_itemid TYPE /AWS1/PZRITEMID /AWS1/PZRITEMID¶
The recommended item ID.
iv_score TYPE /AWS1/RT_DOUBLE_AS_STRING /AWS1/RT_DOUBLE_AS_STRING¶
A numeric representation of the model's certainty that the item will be the next user selection. For more information on scoring logic, see how-scores-work.
iv_promotionname TYPE /AWS1/PZRNAME /AWS1/PZRNAME¶
The name of the promotion that included the predicted item.
it_metadata TYPE /AWS1/CL_PZRMETADATA_W=>TT_METADATA TT_METADATA¶
Metadata about the item from your Items dataset.
it_reason TYPE /AWS1/CL_PZRREASONLIST_W=>TT_REASONLIST TT_REASONLIST¶
If you use User-Personalization-v2, a list of reasons for why the item was included in recommendations. Possible reasons include the following:
Promoted item - Indicates the item was included as part of a promotion that you applied in your recommendation request.
Exploration - Indicates the item was included with exploration. With exploration, recommendations include items with less interactions data or relevance for the user. For more information about exploration, see Exploration.
Popular item - Indicates the item was included as a placeholder popular item. If you use a filter, depending on how many recommendations the filter removes, Amazon Personalize might add placeholder items to meet the
numResultsfor your recommendation request. These items are popular items, based on interactions data, that satisfy your filter criteria. They don't have a relevance score for the user.
Queryable Attributes¶
itemId¶
The recommended item ID.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_ITEMID() |
Getter for ITEMID, with configurable default |
ASK_ITEMID() |
Getter for ITEMID w/ exceptions if field has no value |
HAS_ITEMID() |
Determine if ITEMID has a value |
score¶
A numeric representation of the model's certainty that the item will be the next user selection. For more information on scoring logic, see how-scores-work.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_SCORE() |
Getter for SCORE, with configurable default |
ASK_SCORE() |
Getter for SCORE w/ exceptions if field has no value |
STR_SCORE() |
String format for SCORE, with configurable default |
HAS_SCORE() |
Determine if SCORE has a value |
promotionName¶
The name of the promotion that included the predicted item.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_PROMOTIONNAME() |
Getter for PROMOTIONNAME, with configurable default |
ASK_PROMOTIONNAME() |
Getter for PROMOTIONNAME w/ exceptions if field has no value |
HAS_PROMOTIONNAME() |
Determine if PROMOTIONNAME has a value |
metadata¶
Metadata about the item from your Items dataset.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_METADATA() |
Getter for METADATA, with configurable default |
ASK_METADATA() |
Getter for METADATA w/ exceptions if field has no value |
HAS_METADATA() |
Determine if METADATA has a value |
reason¶
If you use User-Personalization-v2, a list of reasons for why the item was included in recommendations. Possible reasons include the following:
Promoted item - Indicates the item was included as part of a promotion that you applied in your recommendation request.
Exploration - Indicates the item was included with exploration. With exploration, recommendations include items with less interactions data or relevance for the user. For more information about exploration, see Exploration.
Popular item - Indicates the item was included as a placeholder popular item. If you use a filter, depending on how many recommendations the filter removes, Amazon Personalize might add placeholder items to meet the
numResultsfor your recommendation request. These items are popular items, based on interactions data, that satisfy your filter criteria. They don't have a relevance score for the user.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_REASON() |
Getter for REASON, with configurable default |
ASK_REASON() |
Getter for REASON w/ exceptions if field has no value |
HAS_REASON() |
Determine if REASON has a value |
Public Local Types In This Class¶
Internal table types, representing arrays and maps of this class, are defined as local types:
TT_ITEMLIST¶
TYPES TT_ITEMLIST TYPE STANDARD TABLE OF REF TO /AWS1/CL_PZRPREDICTEDITEM WITH DEFAULT KEY
.