Reference documentation and code samples for the Google Cloud Recommendation Engine V1beta1 Client class EventDetail.
User event details shared by all recommendation types.
Generated from protobuf message google.cloud.recommendationengine.v1beta1.EventDetail
Namespace
Google \ Cloud \ RecommendationEngine \ V1beta1Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ uri
string
Optional. Complete url (window.location.href) of the user's current page. When using the JavaScript pixel, this value is filled in automatically. Maximum length 5KB.
↳ referrer_uri
string
Optional. The referrer url of the current page. When using the JavaScript pixel, this value is filled in automatically.
↳ page_view_id
string
Optional. A unique id of a web page view. This should be kept the same for all user events triggered from the same pageview. For example, an item detail page view could trigger multiple events as the user is browsing the page. The pageViewId
property should be kept the same for all these events so that they can be grouped together properly. This pageViewId
will be automatically generated if using the JavaScript pixel.
↳ experiment_ids
array
Optional. A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Recommendation Engine system, using different recommendation models).
↳ recommendation_token
string
Optional. Recommendation token included in the recommendation prediction response. This field enables accurate attribution of recommendation model performance. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased item. If user clicks on product K in the recommendation results, pass the PredictResponse.recommendationToken
property as a url parameter to product K's page. When recording events on product K's page, log the PredictResponse.recommendation_token to this field. Optional, but highly encouraged for user events that are the result of a recommendation prediction query.
↳ event_attributes
FeatureMap
Optional. Extra user event features to include in the recommendation model. For product recommendation, an example of extra user information is traffic_channel, i.e. how user arrives at the site. Users can arrive at the site by coming to the site directly, or coming through Google search, and etc.
getUri
Optional. Complete url (window.location.href) of the user's current page.
When using the JavaScript pixel, this value is filled in automatically. Maximum length 5KB.
string
setUri
Optional. Complete url (window.location.href) of the user's current page.
When using the JavaScript pixel, this value is filled in automatically. Maximum length 5KB.
var
string
$this
getReferrerUri
Optional. The referrer url of the current page. When using the JavaScript pixel, this value is filled in automatically.
string
setReferrerUri
Optional. The referrer url of the current page. When using the JavaScript pixel, this value is filled in automatically.
var
string
$this
getPageViewId
Optional. A unique id of a web page view.
This should be kept the same for all user events triggered from the same
pageview. For example, an item detail page view could trigger multiple
events as the user is browsing the page.
The pageViewId
property should be kept the same for all these events so
that they can be grouped together properly. This pageViewId
will be
automatically generated if using the JavaScript pixel.
string
setPageViewId
Optional. A unique id of a web page view.
This should be kept the same for all user events triggered from the same
pageview. For example, an item detail page view could trigger multiple
events as the user is browsing the page.
The pageViewId
property should be kept the same for all these events so
that they can be grouped together properly. This pageViewId
will be
automatically generated if using the JavaScript pixel.
var
string
$this
getExperimentIds
Optional. A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Recommendation Engine system, using different recommendation models).
setExperimentIds
Optional. A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Recommendation Engine system, using different recommendation models).
var
string[]
$this
getRecommendationToken
Optional. Recommendation token included in the recommendation prediction response.
This field enables accurate attribution of recommendation model
performance.
This token enables us to accurately attribute page view or purchase back to
the event and the particular predict response containing this
clicked/purchased item. If user clicks on product K in the recommendation
results, pass the PredictResponse.recommendationToken
property as a url
parameter to product K's page. When recording events on product K's page,
log the PredictResponse.recommendation_token to this field.
Optional, but highly encouraged for user events that are the result of a
recommendation prediction query.
string
setRecommendationToken
Optional. Recommendation token included in the recommendation prediction response.
This field enables accurate attribution of recommendation model
performance.
This token enables us to accurately attribute page view or purchase back to
the event and the particular predict response containing this
clicked/purchased item. If user clicks on product K in the recommendation
results, pass the PredictResponse.recommendationToken
property as a url
parameter to product K's page. When recording events on product K's page,
log the PredictResponse.recommendation_token to this field.
Optional, but highly encouraged for user events that are the result of a
recommendation prediction query.
var
string
$this
getEventAttributes
Optional. Extra user event features to include in the recommendation model.
For product recommendation, an example of extra user information is traffic_channel, i.e. how user arrives at the site. Users can arrive at the site by coming to the site directly, or coming through Google search, and etc.
hasEventAttributes
clearEventAttributes
setEventAttributes
Optional. Extra user event features to include in the recommendation model.
For product recommendation, an example of extra user information is traffic_channel, i.e. how user arrives at the site. Users can arrive at the site by coming to the site directly, or coming through Google search, and etc.
$this