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Copy file name to clipboardExpand all lines: clients/google-api-services-retail/v2/2.0.0/com/google/api/services/retail/v2/model/GoogleCloudRetailV2UserEvent.java
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packagecom.google.api.services.retail.v2.model;
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/**
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* UserEvent captures all metadata information Retail API needs to know about how end users interact
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* with customers' website.
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* UserEvent captures all metadata information AI Commerce Search API needs to know about how end
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* users interact with customers' website.
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*
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* <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
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* transmitted over HTTP when working with the Vertex AI Search for commerce API. For a detailed
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* Extra user event features to include in the recommendation model. If you provide custom
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* attributes for ingested user events, also include them in the user events that you associate
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* with prediction requests. Custom attribute formatting must be consistent between imported
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* events and events provided with prediction requests. This lets the Retail API use those custom
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* attributes when training models and serving predictions, which helps improve recommendation
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* quality. This field needs to pass all below criteria, otherwise an INVALID_ARGUMENT error is
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* returned: * The key must be a UTF-8 encoded string with a length limit of 5,000 characters. *
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* For text attributes, at most 400 values are allowed. Empty values are not allowed. Each value
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* must be a UTF-8 encoded string with a length limit of 256 characters. * For number attributes,
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* at most 400 values are allowed. For product recommendations, an example of extra user
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* information is traffic_channel, which is how a user arrives at the site. Users can arrive at
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* the site by coming to the site directly, coming through Google search, or in other ways.
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* events and events provided with prediction requests. This lets the AI Commerce Search API use
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* those custom attributes when training models and serving predictions, which helps improve
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* recommendation quality. This field needs to pass all below criteria, otherwise an
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* INVALID_ARGUMENT error is returned: * The key must be a UTF-8 encoded string with a length
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* limit of 5,000 characters. * For text attributes, at most 400 values are allowed. Empty values
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* are not allowed. Each value must be a UTF-8 encoded string with a length limit of 256
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* characters. * For number attributes, at most 400 values are allowed. For product
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* recommendations, an example of extra user information is traffic_channel, which is how a user
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* arrives at the site. Users can arrive at the site by coming to the site directly, coming
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* through Google search, or in other ways.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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/**
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* A list of identifiers for the independent experiment groups this user event belongs to. This is
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* used to distinguish between user events associated with different experiment setups (e.g. using
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* Retail API, using different recommendation models).
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* used to distinguish between user events associated with different experiment setups (such as by
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* using AI Commerce Search API, or using different recommendation models).
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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* Extra user event features to include in the recommendation model. If you provide custom
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* attributes for ingested user events, also include them in the user events that you associate
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* with prediction requests. Custom attribute formatting must be consistent between imported
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* events and events provided with prediction requests. This lets the Retail API use those custom
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* attributes when training models and serving predictions, which helps improve recommendation
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* quality. This field needs to pass all below criteria, otherwise an INVALID_ARGUMENT error is
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* returned: * The key must be a UTF-8 encoded string with a length limit of 5,000 characters. *
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* For text attributes, at most 400 values are allowed. Empty values are not allowed. Each value
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* must be a UTF-8 encoded string with a length limit of 256 characters. * For number attributes,
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* at most 400 values are allowed. For product recommendations, an example of extra user
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* information is traffic_channel, which is how a user arrives at the site. Users can arrive at
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* the site by coming to the site directly, coming through Google search, or in other ways.
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* events and events provided with prediction requests. This lets the AI Commerce Search API use
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* those custom attributes when training models and serving predictions, which helps improve
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* recommendation quality. This field needs to pass all below criteria, otherwise an
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* INVALID_ARGUMENT error is returned: * The key must be a UTF-8 encoded string with a length
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* limit of 5,000 characters. * For text attributes, at most 400 values are allowed. Empty values
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* are not allowed. Each value must be a UTF-8 encoded string with a length limit of 256
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* characters. * For number attributes, at most 400 values are allowed. For product
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* recommendations, an example of extra user information is traffic_channel, which is how a user
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* arrives at the site. Users can arrive at the site by coming to the site directly, coming
Copy file name to clipboardExpand all lines: clients/google-api-services-retail/v2/2.0.0/com/google/api/services/retail/v2/model/GoogleCloudRetailV2alphaEnrollSolutionResponse.java
Copy file name to clipboardExpand all lines: clients/google-api-services-retail/v2alpha/2.0.0/com/google/api/services/retail/v2alpha/model/GoogleCloudRetailV2alphaEnrollSolutionResponse.java
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