Struct google_api_proto::google::cloud::discoveryengine::v1::RecommendRequest
source · pub struct RecommendRequest {
pub serving_config: String,
pub user_event: Option<UserEvent>,
pub page_size: i32,
pub filter: String,
pub validate_only: bool,
pub params: BTreeMap<String, Value>,
pub user_labels: BTreeMap<String, String>,
}
Expand description
Request message for Recommend method.
Fields§
§serving_config: String
Required. Full resource name of a
[ServingConfig][google.cloud.discoveryengine.v1.ServingConfig]:
projects/*/locations/global/collections/*/engines/*/servingConfigs/*
, or
projects/*/locations/global/collections/*/dataStores/*/servingConfigs/*
One default serving config is created along with your recommendation engine
creation. The engine ID is used as the ID of the default serving
config. For example, for Engine
projects/*/locations/global/collections/*/engines/my-engine
, you can use
projects/*/locations/global/collections/*/engines/my-engine/servingConfigs/my-engine
for your
[RecommendationService.Recommend][google.cloud.discoveryengine.v1.RecommendationService.Recommend]
requests.
user_event: Option<UserEvent>
Required. Context about the user, what they are looking at and what action they took to trigger the Recommend request. Note that this user event detail won’t be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.
Don’t set [UserEvent.user_pseudo_id][google.cloud.discoveryengine.v1.UserEvent.user_pseudo_id] or [UserEvent.user_info.user_id][google.cloud.discoveryengine.v1.UserInfo.user_id] to the same fixed ID for different users. If you are trying to receive non-personalized recommendations (not recommended; this can negatively impact model performance), instead set [UserEvent.user_pseudo_id][google.cloud.discoveryengine.v1.UserEvent.user_pseudo_id] to a random unique ID and leave [UserEvent.user_info.user_id][google.cloud.discoveryengine.v1.UserInfo.user_id] unset.
page_size: i32
Maximum number of results to return. Set this property to the number of recommendation results needed. If zero, the service chooses a reasonable default. The maximum allowed value is 100. Values above 100 are set to 100.
filter: String
Filter for restricting recommendation results with a length limit of 5,000
characters. Currently, only filter expressions on the filter_tags
attribute is supported.
Examples:
(filter_tags: ANY("Red", "Blue") OR filter_tags: ANY("Hot", "Cold"))
(filter_tags: ANY("Red", "Blue")) AND NOT (filter_tags: ANY("Green"))
If attributeFilteringSyntax
is set to true under the params
field, then
attribute-based expressions are expected instead of the above described
tag-based syntax. Examples:
- (launguage: ANY(“en”, “es”)) AND NOT (categories: ANY(“Movie”))
- (available: true) AND (launguage: ANY(“en”, “es”)) OR (categories: ANY(“Movie”))
If your filter blocks all results, the API returns generic
(unfiltered) popular Documents. If you only want results strictly matching
the filters, set strictFiltering
to true
in
[RecommendRequest.params][google.cloud.discoveryengine.v1.RecommendRequest.params]
to receive empty results instead.
Note that the API never returns
[Document][google.cloud.discoveryengine.v1.Document]s with storageStatus
as EXPIRED
or DELETED
regardless of filter choices.
validate_only: bool
Use validate only mode for this recommendation query. If set to true
, a
fake model is used that returns arbitrary Document IDs.
Note that the validate only mode should only be used for testing the API,
or if the model is not ready.
params: BTreeMap<String, Value>
Additional domain specific parameters for the recommendations.
Allowed values:
returnDocument
: Boolean. If set totrue
, the associated Document object is returned in [RecommendResponse.RecommendationResult.document][google.cloud.discoveryengine.v1.RecommendResponse.RecommendationResult.document].returnScore
: Boolean. If set to true, the recommendation score corresponding to each returned Document is set in [RecommendResponse.RecommendationResult.metadata][google.cloud.discoveryengine.v1.RecommendResponse.RecommendationResult.metadata]. The given score indicates the probability of a Document conversion given the user’s context and history.strictFiltering
: Boolean. True by default. If set tofalse
, the service returns generic (unfiltered) popular Documents instead of empty if your filter blocks all recommendation results.diversityLevel
: String. Default empty. If set to be non-empty, then it needs to be one of:no-diversity
low-diversity
medium-diversity
high-diversity
auto-diversity
This gives request-level control and adjusts recommendation results based on Document category.
attributeFilteringSyntax
: Boolean. False by default. If set to true, thefilter
field is interpreted according to the new, attribute-based syntax.
user_labels: BTreeMap<String, String>
The user labels applied to a resource must meet the following requirements:
- Each resource can have multiple labels, up to a maximum of 64.
- Each label must be a key-value pair.
- Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters.
- Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed.
- The key portion of a label must be unique. However, you can use the same key with multiple resources.
- Keys must start with a lowercase letter or international character.
See Requirements for labels for more details.
Trait Implementations§
source§impl Clone for RecommendRequest
impl Clone for RecommendRequest
source§fn clone(&self) -> RecommendRequest
fn clone(&self) -> RecommendRequest
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for RecommendRequest
impl Debug for RecommendRequest
source§impl Default for RecommendRequest
impl Default for RecommendRequest
source§impl Message for RecommendRequest
impl Message for RecommendRequest
source§fn encoded_len(&self) -> usize
fn encoded_len(&self) -> usize
source§fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>where
Self: Sized,
fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>where
Self: Sized,
source§fn encode_to_vec(&self) -> Vec<u8>where
Self: Sized,
fn encode_to_vec(&self) -> Vec<u8>where
Self: Sized,
source§fn encode_length_delimited(
&self,
buf: &mut impl BufMut,
) -> Result<(), EncodeError>where
Self: Sized,
fn encode_length_delimited(
&self,
buf: &mut impl BufMut,
) -> Result<(), EncodeError>where
Self: Sized,
source§fn encode_length_delimited_to_vec(&self) -> Vec<u8>where
Self: Sized,
fn encode_length_delimited_to_vec(&self) -> Vec<u8>where
Self: Sized,
source§fn decode(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
fn decode(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
source§fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
source§fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
self
. Read moresource§fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
self
.source§impl PartialEq for RecommendRequest
impl PartialEq for RecommendRequest
source§fn eq(&self, other: &RecommendRequest) -> bool
fn eq(&self, other: &RecommendRequest) -> bool
self
and other
values to be equal, and is used
by ==
.impl StructuralPartialEq for RecommendRequest
Auto Trait Implementations§
impl Freeze for RecommendRequest
impl RefUnwindSafe for RecommendRequest
impl Send for RecommendRequest
impl Sync for RecommendRequest
impl Unpin for RecommendRequest
impl UnwindSafe for RecommendRequest
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
§impl<T> Instrument for T
impl<T> Instrument for T
§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
source§impl<T> IntoRequest<T> for T
impl<T> IntoRequest<T> for T
source§fn into_request(self) -> Request<T>
fn into_request(self) -> Request<T>
T
in a tonic::Request