amazonka-personalize-events-2.0: Amazon Personalize Events SDK.
Copyright(c) 2013-2023 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellSafe-Inferred
LanguageHaskell2010

Amazonka.PersonalizeEvents.Types

Description

 
Synopsis

Service Configuration

defaultService :: Service Source #

API version 2018-03-22 of the Amazon Personalize Events SDK configuration.

Errors

_InvalidInputException :: AsError a => Fold a ServiceError Source #

Provide a valid value for the field or parameter.

_ResourceInUseException :: AsError a => Fold a ServiceError Source #

The specified resource is in use.

_ResourceNotFoundException :: AsError a => Fold a ServiceError Source #

Could not find the specified resource.

Event

data Event Source #

Represents user interaction event information sent using the PutEvents API.

See: newEvent smart constructor.

Constructors

Event' 

Fields

  • eventId :: Maybe Text

    An ID associated with the event. If an event ID is not provided, Amazon Personalize generates a unique ID for the event. An event ID is not used as an input to the model. Amazon Personalize uses the event ID to distinquish unique events. Any subsequent events after the first with the same event ID are not used in model training.

  • eventValue :: Maybe Double

    The event value that corresponds to the EVENT_VALUE field of the Interactions schema.

  • impression :: Maybe (NonEmpty (Sensitive Text))

    A list of item IDs that represents the sequence of items you have shown the user. For example, ["itemId1", "itemId2", "itemId3"]. Provide a list of items to manually record impressions data for an event. For more information on recording impressions data, see Recording impressions data.

  • itemId :: Maybe (Sensitive Text)

    The item ID key that corresponds to the ITEM_ID field of the Interactions schema.

  • metricAttribution :: Maybe MetricAttribution

    Contains information about the metric attribution associated with an event. For more information about metric attributions, see Measuring impact of recommendations.

  • properties :: Maybe (Sensitive Text)

    A string map of event-specific data that you might choose to record. For example, if a user rates a movie on your site, other than movie ID (itemId) and rating (eventValue) , you might also send the number of movie ratings made by the user.

    Each item in the map consists of a key-value pair. For example,

    {"numberOfRatings": "12"}

    The keys use camel case names that match the fields in the Interactions schema. In the above example, the numberOfRatings would match the 'NUMBER_OF_RATINGS' field defined in the Interactions schema.

  • recommendationId :: Maybe Text

    The ID of the list of recommendations that contains the item the user interacted with. Provide a recommendationId to have Amazon Personalize implicitly record the recommendations you show your user as impressions data. Or provide a recommendationId if you use a metric attribution to measure the impact of recommendations.

    For more information on recording impressions data, see Recording impressions data. For more information on creating a metric attribution see Measuring impact of recommendations.

  • eventType :: Text

    The type of event, such as click or download. This property corresponds to the EVENT_TYPE field of your Interactions schema and depends on the types of events you are tracking.

  • sentAt :: POSIX

    The timestamp (in Unix time) on the client side when the event occurred.

Instances

Instances details
ToJSON Event Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.Event

Generic Event Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.Event

Associated Types

type Rep Event :: Type -> Type #

Methods

from :: Event -> Rep Event x #

to :: Rep Event x -> Event #

Show Event Source # 
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Defined in Amazonka.PersonalizeEvents.Types.Event

Methods

showsPrec :: Int -> Event -> ShowS #

show :: Event -> String #

showList :: [Event] -> ShowS #

NFData Event Source # 
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Defined in Amazonka.PersonalizeEvents.Types.Event

Methods

rnf :: Event -> () #

Eq Event Source # 
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Defined in Amazonka.PersonalizeEvents.Types.Event

Methods

(==) :: Event -> Event -> Bool #

(/=) :: Event -> Event -> Bool #

Hashable Event Source # 
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Defined in Amazonka.PersonalizeEvents.Types.Event

Methods

hashWithSalt :: Int -> Event -> Int #

hash :: Event -> Int #

type Rep Event Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.Event

newEvent Source #

Create a value of Event with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:eventId:Event', event_eventId - An ID associated with the event. If an event ID is not provided, Amazon Personalize generates a unique ID for the event. An event ID is not used as an input to the model. Amazon Personalize uses the event ID to distinquish unique events. Any subsequent events after the first with the same event ID are not used in model training.

$sel:eventValue:Event', event_eventValue - The event value that corresponds to the EVENT_VALUE field of the Interactions schema.

$sel:impression:Event', event_impression - A list of item IDs that represents the sequence of items you have shown the user. For example, ["itemId1", "itemId2", "itemId3"]. Provide a list of items to manually record impressions data for an event. For more information on recording impressions data, see Recording impressions data.

$sel:itemId:Event', event_itemId - The item ID key that corresponds to the ITEM_ID field of the Interactions schema.

$sel:metricAttribution:Event', event_metricAttribution - Contains information about the metric attribution associated with an event. For more information about metric attributions, see Measuring impact of recommendations.

$sel:properties:Event', event_properties - A string map of event-specific data that you might choose to record. For example, if a user rates a movie on your site, other than movie ID (itemId) and rating (eventValue) , you might also send the number of movie ratings made by the user.

Each item in the map consists of a key-value pair. For example,

{"numberOfRatings": "12"}

The keys use camel case names that match the fields in the Interactions schema. In the above example, the numberOfRatings would match the 'NUMBER_OF_RATINGS' field defined in the Interactions schema.

$sel:recommendationId:Event', event_recommendationId - The ID of the list of recommendations that contains the item the user interacted with. Provide a recommendationId to have Amazon Personalize implicitly record the recommendations you show your user as impressions data. Or provide a recommendationId if you use a metric attribution to measure the impact of recommendations.

For more information on recording impressions data, see Recording impressions data. For more information on creating a metric attribution see Measuring impact of recommendations.

$sel:eventType:Event', event_eventType - The type of event, such as click or download. This property corresponds to the EVENT_TYPE field of your Interactions schema and depends on the types of events you are tracking.

$sel:sentAt:Event', event_sentAt - The timestamp (in Unix time) on the client side when the event occurred.

event_eventId :: Lens' Event (Maybe Text) Source #

An ID associated with the event. If an event ID is not provided, Amazon Personalize generates a unique ID for the event. An event ID is not used as an input to the model. Amazon Personalize uses the event ID to distinquish unique events. Any subsequent events after the first with the same event ID are not used in model training.

event_eventValue :: Lens' Event (Maybe Double) Source #

The event value that corresponds to the EVENT_VALUE field of the Interactions schema.

event_impression :: Lens' Event (Maybe (NonEmpty Text)) Source #

A list of item IDs that represents the sequence of items you have shown the user. For example, ["itemId1", "itemId2", "itemId3"]. Provide a list of items to manually record impressions data for an event. For more information on recording impressions data, see Recording impressions data.

event_itemId :: Lens' Event (Maybe Text) Source #

The item ID key that corresponds to the ITEM_ID field of the Interactions schema.

event_metricAttribution :: Lens' Event (Maybe MetricAttribution) Source #

Contains information about the metric attribution associated with an event. For more information about metric attributions, see Measuring impact of recommendations.

event_properties :: Lens' Event (Maybe Text) Source #

A string map of event-specific data that you might choose to record. For example, if a user rates a movie on your site, other than movie ID (itemId) and rating (eventValue) , you might also send the number of movie ratings made by the user.

Each item in the map consists of a key-value pair. For example,

{"numberOfRatings": "12"}

The keys use camel case names that match the fields in the Interactions schema. In the above example, the numberOfRatings would match the 'NUMBER_OF_RATINGS' field defined in the Interactions schema.

event_recommendationId :: Lens' Event (Maybe Text) Source #

The ID of the list of recommendations that contains the item the user interacted with. Provide a recommendationId to have Amazon Personalize implicitly record the recommendations you show your user as impressions data. Or provide a recommendationId if you use a metric attribution to measure the impact of recommendations.

For more information on recording impressions data, see Recording impressions data. For more information on creating a metric attribution see Measuring impact of recommendations.

event_eventType :: Lens' Event Text Source #

The type of event, such as click or download. This property corresponds to the EVENT_TYPE field of your Interactions schema and depends on the types of events you are tracking.

event_sentAt :: Lens' Event UTCTime Source #

The timestamp (in Unix time) on the client side when the event occurred.

Item

data Item Source #

Represents item metadata added to an Items dataset using the PutItems API. For more information see Importing Items Incrementally.

See: newItem smart constructor.

Constructors

Item' 

Fields

  • properties :: Maybe (Sensitive Text)

    A string map of item-specific metadata. Each element in the map consists of a key-value pair. For example, {"numberOfRatings": "12"}.

    The keys use camel case names that match the fields in the schema for the Items dataset. In the previous example, the numberOfRatings matches the 'NUMBER_OF_RATINGS' field defined in the Items schema. For categorical string data, to include multiple categories for a single item, separate each category with a pipe separator (|). For example, \"Horror|Action\".

  • itemId :: Text

    The ID associated with the item.

Instances

Instances details
ToJSON Item Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.Item

Generic Item Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.Item

Associated Types

type Rep Item :: Type -> Type #

Methods

from :: Item -> Rep Item x #

to :: Rep Item x -> Item #

Show Item Source # 
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Defined in Amazonka.PersonalizeEvents.Types.Item

Methods

showsPrec :: Int -> Item -> ShowS #

show :: Item -> String #

showList :: [Item] -> ShowS #

NFData Item Source # 
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Defined in Amazonka.PersonalizeEvents.Types.Item

Methods

rnf :: Item -> () #

Eq Item Source # 
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Methods

(==) :: Item -> Item -> Bool #

(/=) :: Item -> Item -> Bool #

Hashable Item Source # 
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Defined in Amazonka.PersonalizeEvents.Types.Item

Methods

hashWithSalt :: Int -> Item -> Int #

hash :: Item -> Int #

type Rep Item Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.Item

type Rep Item = D1 ('MetaData "Item" "Amazonka.PersonalizeEvents.Types.Item" "amazonka-personalize-events-2.0-Fi47jZEjr1NizLD1LiiPl" 'False) (C1 ('MetaCons "Item'" 'PrefixI 'True) (S1 ('MetaSel ('Just "properties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (Sensitive Text))) :*: S1 ('MetaSel ('Just "itemId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newItem Source #

Arguments

:: Text

$sel:itemId:Item'

-> Item 

Create a value of Item with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:properties:Item', item_properties - A string map of item-specific metadata. Each element in the map consists of a key-value pair. For example, {"numberOfRatings": "12"}.

The keys use camel case names that match the fields in the schema for the Items dataset. In the previous example, the numberOfRatings matches the 'NUMBER_OF_RATINGS' field defined in the Items schema. For categorical string data, to include multiple categories for a single item, separate each category with a pipe separator (|). For example, \"Horror|Action\".

$sel:itemId:Item', item_itemId - The ID associated with the item.

item_properties :: Lens' Item (Maybe Text) Source #

A string map of item-specific metadata. Each element in the map consists of a key-value pair. For example, {"numberOfRatings": "12"}.

The keys use camel case names that match the fields in the schema for the Items dataset. In the previous example, the numberOfRatings matches the 'NUMBER_OF_RATINGS' field defined in the Items schema. For categorical string data, to include multiple categories for a single item, separate each category with a pipe separator (|). For example, \"Horror|Action\".

item_itemId :: Lens' Item Text Source #

The ID associated with the item.

MetricAttribution

data MetricAttribution Source #

Contains information about a metric attribution associated with an event. For more information about metric attributions, see Measuring impact of recommendations.

See: newMetricAttribution smart constructor.

Constructors

MetricAttribution' 

Fields

Instances

Instances details
ToJSON MetricAttribution Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.MetricAttribution

Generic MetricAttribution Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.MetricAttribution

Associated Types

type Rep MetricAttribution :: Type -> Type #

Read MetricAttribution Source # 
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Defined in Amazonka.PersonalizeEvents.Types.MetricAttribution

Show MetricAttribution Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.MetricAttribution

NFData MetricAttribution Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.MetricAttribution

Methods

rnf :: MetricAttribution -> () #

Eq MetricAttribution Source # 
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Defined in Amazonka.PersonalizeEvents.Types.MetricAttribution

Hashable MetricAttribution Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.MetricAttribution

type Rep MetricAttribution Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.MetricAttribution

type Rep MetricAttribution = D1 ('MetaData "MetricAttribution" "Amazonka.PersonalizeEvents.Types.MetricAttribution" "amazonka-personalize-events-2.0-Fi47jZEjr1NizLD1LiiPl" 'False) (C1 ('MetaCons "MetricAttribution'" 'PrefixI 'True) (S1 ('MetaSel ('Just "eventAttributionSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newMetricAttribution Source #

Create a value of MetricAttribution with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:eventAttributionSource:MetricAttribution', metricAttribution_eventAttributionSource - The source of the event, such as a third party.

metricAttribution_eventAttributionSource :: Lens' MetricAttribution Text Source #

The source of the event, such as a third party.

User

data User Source #

Represents user metadata added to a Users dataset using the PutUsers API. For more information see Importing Users Incrementally.

See: newUser smart constructor.

Constructors

User' 

Fields

  • properties :: Maybe (Sensitive Text)

    A string map of user-specific metadata. Each element in the map consists of a key-value pair. For example, {"numberOfVideosWatched": "45"}.

    The keys use camel case names that match the fields in the schema for the Users dataset. In the previous example, the numberOfVideosWatched matches the 'NUMBER_OF_VIDEOS_WATCHED' field defined in the Users schema. For categorical string data, to include multiple categories for a single user, separate each category with a pipe separator (|). For example, \"Member|Frequent shopper\".

  • userId :: Text

    The ID associated with the user.

Instances

Instances details
ToJSON User Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.User

Generic User Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.User

Associated Types

type Rep User :: Type -> Type #

Methods

from :: User -> Rep User x #

to :: Rep User x -> User #

Show User Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.User

Methods

showsPrec :: Int -> User -> ShowS #

show :: User -> String #

showList :: [User] -> ShowS #

NFData User Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.User

Methods

rnf :: User -> () #

Eq User Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.User

Methods

(==) :: User -> User -> Bool #

(/=) :: User -> User -> Bool #

Hashable User Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.User

Methods

hashWithSalt :: Int -> User -> Int #

hash :: User -> Int #

type Rep User Source # 
Instance details

Defined in Amazonka.PersonalizeEvents.Types.User

type Rep User = D1 ('MetaData "User" "Amazonka.PersonalizeEvents.Types.User" "amazonka-personalize-events-2.0-Fi47jZEjr1NizLD1LiiPl" 'False) (C1 ('MetaCons "User'" 'PrefixI 'True) (S1 ('MetaSel ('Just "properties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (Sensitive Text))) :*: S1 ('MetaSel ('Just "userId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newUser Source #

Arguments

:: Text

$sel:userId:User'

-> User 

Create a value of User with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:properties:User', user_properties - A string map of user-specific metadata. Each element in the map consists of a key-value pair. For example, {"numberOfVideosWatched": "45"}.

The keys use camel case names that match the fields in the schema for the Users dataset. In the previous example, the numberOfVideosWatched matches the 'NUMBER_OF_VIDEOS_WATCHED' field defined in the Users schema. For categorical string data, to include multiple categories for a single user, separate each category with a pipe separator (|). For example, \"Member|Frequent shopper\".

$sel:userId:User', user_userId - The ID associated with the user.

user_properties :: Lens' User (Maybe Text) Source #

A string map of user-specific metadata. Each element in the map consists of a key-value pair. For example, {"numberOfVideosWatched": "45"}.

The keys use camel case names that match the fields in the schema for the Users dataset. In the previous example, the numberOfVideosWatched matches the 'NUMBER_OF_VIDEOS_WATCHED' field defined in the Users schema. For categorical string data, to include multiple categories for a single user, separate each category with a pipe separator (|). For example, \"Member|Frequent shopper\".

user_userId :: Lens' User Text Source #

The ID associated with the user.