@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class GetPersonalizedRankingRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
NOOP
Constructor and Description |
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GetPersonalizedRankingRequest() |
Modifier and Type | Method and Description |
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GetPersonalizedRankingRequest |
addContextEntry(String key,
String value)
Add a single Context entry
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GetPersonalizedRankingRequest |
addFilterValuesEntry(String key,
String value)
Add a single FilterValues entry
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GetPersonalizedRankingRequest |
clearContextEntries()
Removes all the entries added into Context.
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GetPersonalizedRankingRequest |
clearFilterValuesEntries()
Removes all the entries added into FilterValues.
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GetPersonalizedRankingRequest |
clone()
Creates a shallow clone of this object for all fields except the handler context.
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boolean |
equals(Object obj) |
String |
getCampaignArn()
The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.
|
Map<String,String> |
getContext()
The contextual metadata to use when getting recommendations.
|
String |
getFilterArn()
The Amazon Resource Name (ARN) of a filter you created to include items or exclude items from recommendations for
a given user.
|
Map<String,String> |
getFilterValues()
The values to use when filtering recommendations.
|
List<String> |
getInputList()
A list of items (by
itemId ) to rank. |
String |
getUserId()
The user for which you want the campaign to provide a personalized ranking.
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int |
hashCode() |
void |
setCampaignArn(String campaignArn)
The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.
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void |
setContext(Map<String,String> context)
The contextual metadata to use when getting recommendations.
|
void |
setFilterArn(String filterArn)
The Amazon Resource Name (ARN) of a filter you created to include items or exclude items from recommendations for
a given user.
|
void |
setFilterValues(Map<String,String> filterValues)
The values to use when filtering recommendations.
|
void |
setInputList(Collection<String> inputList)
A list of items (by
itemId ) to rank. |
void |
setUserId(String userId)
The user for which you want the campaign to provide a personalized ranking.
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String |
toString()
Returns a string representation of this object.
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GetPersonalizedRankingRequest |
withCampaignArn(String campaignArn)
The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.
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GetPersonalizedRankingRequest |
withContext(Map<String,String> context)
The contextual metadata to use when getting recommendations.
|
GetPersonalizedRankingRequest |
withFilterArn(String filterArn)
The Amazon Resource Name (ARN) of a filter you created to include items or exclude items from recommendations for
a given user.
|
GetPersonalizedRankingRequest |
withFilterValues(Map<String,String> filterValues)
The values to use when filtering recommendations.
|
GetPersonalizedRankingRequest |
withInputList(Collection<String> inputList)
A list of items (by
itemId ) to rank. |
GetPersonalizedRankingRequest |
withInputList(String... inputList)
A list of items (by
itemId ) to rank. |
GetPersonalizedRankingRequest |
withUserId(String userId)
The user for which you want the campaign to provide a personalized ranking.
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addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout
public void setCampaignArn(String campaignArn)
The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.
campaignArn
- The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.public String getCampaignArn()
The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.
public GetPersonalizedRankingRequest withCampaignArn(String campaignArn)
The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.
campaignArn
- The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.public List<String> getInputList()
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. The maximum is 500.
itemId
) to rank. If an item was not included in the training dataset,
the item is appended to the end of the reranked list. The maximum is 500.public void setInputList(Collection<String> 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. The maximum is 500.
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. The maximum is 500.public GetPersonalizedRankingRequest withInputList(String... 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. The maximum is 500.
NOTE: This method appends the values to the existing list (if any). Use
setInputList(java.util.Collection)
or withInputList(java.util.Collection)
if you want to
override the existing values.
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. The maximum is 500.public GetPersonalizedRankingRequest withInputList(Collection<String> 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. The maximum is 500.
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. The maximum is 500.public void setUserId(String userId)
The user for which you want the campaign to provide a personalized ranking.
userId
- The user for which you want the campaign to provide a personalized ranking.public String getUserId()
The user for which you want the campaign to provide a personalized ranking.
public GetPersonalizedRankingRequest withUserId(String userId)
The user for which you want the campaign to provide a personalized ranking.
userId
- The user for which you want the campaign to provide a personalized ranking.public Map<String,String> getContext()
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.
public void setContext(Map<String,String> 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.
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.public GetPersonalizedRankingRequest withContext(Map<String,String> 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.
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.public GetPersonalizedRankingRequest addContextEntry(String key, String value)
public GetPersonalizedRankingRequest clearContextEntries()
public void setFilterArn(String filterArn)
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.
filterArn
- 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.public String getFilterArn()
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.
public GetPersonalizedRankingRequest withFilterArn(String filterArn)
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.
filterArn
- 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.public Map<String,String> getFilterValues()
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 an EXCLUDE
element to exclude items, you can omit the filter-values
.In this case, Amazon Personalize doesn't
use that portion of the expression to filter recommendations.
For more information, see Filtering Recommendations.
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 an
EXCLUDE
element to exclude items, you can omit the filter-values
.In this case,
Amazon Personalize doesn't use that portion of the expression to filter recommendations.
For more information, see Filtering Recommendations.
public void setFilterValues(Map<String,String> 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 an EXCLUDE
element to exclude items, you can omit the filter-values
.In this case, Amazon Personalize doesn't
use that portion of the expression to filter recommendations.
For more information, see Filtering Recommendations.
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 an
EXCLUDE
element to exclude items, you can omit the filter-values
.In this case,
Amazon Personalize doesn't use that portion of the expression to filter recommendations.
For more information, see Filtering Recommendations.
public GetPersonalizedRankingRequest withFilterValues(Map<String,String> 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 an EXCLUDE
element to exclude items, you can omit the filter-values
.In this case, Amazon Personalize doesn't
use that portion of the expression to filter recommendations.
For more information, see Filtering Recommendations.
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 an
EXCLUDE
element to exclude items, you can omit the filter-values
.In this case,
Amazon Personalize doesn't use that portion of the expression to filter recommendations.
For more information, see Filtering Recommendations.
public GetPersonalizedRankingRequest addFilterValuesEntry(String key, String value)
public GetPersonalizedRankingRequest clearFilterValuesEntries()
public String toString()
toString
in class Object
Object.toString()
public GetPersonalizedRankingRequest clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()