chore(recommendationengine): update the api

Author: yoshi-automation

docs/dyn/recommendationengine_v1beta1.projects.locations.catalogs.eventStores.placements.html

@@ -106,7 +106,7 @@ <h3>Method Details</h3>
   },
   &quot;pageSize&quot;: 42, # Optional. Maximum number of results to return per page. Set this property to the number of prediction results required. If zero, the service will choose a reasonable default.
   &quot;pageToken&quot;: &quot;A String&quot;, # Optional. The previous PredictResponse.next_page_token.
-  &quot;params&quot;: { # Optional. Additional domain specific parameters for the predictions. Allowed values: * `returnCatalogItem`: Boolean. If set to true, the associated catalogItem object will be returned in the `PredictResponse.PredictionResult.itemMetadata` object in the method response. * `returnItemScore`: Boolean. If set to true, the prediction &#x27;score&#x27; corresponding to each returned item will be set in the `metadata` field in the prediction response. The given &#x27;score&#x27; indicates the probability of an item being clicked/purchased given the user&#x27;s context and history. * `strictFiltering`: Boolean. True by default. If set to false, the service will return generic (unfiltered) popular items instead of empty if your filter blocks all prediction results.
+  &quot;params&quot;: { # Optional. Additional domain specific parameters for the predictions. Allowed values: * `returnCatalogItem`: Boolean. If set to true, the associated catalogItem object will be returned in the `PredictResponse.PredictionResult.itemMetadata` object in the method response. * `returnItemScore`: Boolean. If set to true, the prediction &#x27;score&#x27; corresponding to each returned item will be set in the `metadata` field in the prediction response. The given &#x27;score&#x27; indicates the probability of an item being clicked/purchased given the user&#x27;s context and history. * `strictFiltering`: Boolean. True by default. If set to false, the service will return generic (unfiltered) popular items instead of empty if your filter blocks all prediction results. * `priceRerankLevel`: String. Default empty. If set to be non-empty, then it needs to be one of {&#x27;no-price-reranking&#x27;, &#x27;low-price-reranking&#x27;, &#x27;medium-price-reranking&#x27;, &#x27;high-price-reranking&#x27;}. This gives request level control and adjust prediction results based on product price. * `diversityLevel`: String. Default empty. If set to be non-empty, then it needs to be one of {&#x27;no-diversity&#x27;, &#x27;low-diversity&#x27;, &#x27;medium-diversity&#x27;, &#x27;high-diversity&#x27;, &#x27;auto-diversity&#x27;}. This gives request level control and adjust prediction results based on product category.
     &quot;a_key&quot;: &quot;&quot;,
   },
   &quot;userEvent&quot;: { # UserEvent captures all metadata information recommendation engine needs to know about how end users interact with customers&#x27; website. # Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won&#x27;t be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

googleapiclient/discovery_cache/documents/recommendationengine.v1beta1.json

@@ -842,7 +842,7 @@
       }
     }
   },
-  "revision": "20210426",
+  "revision": "20210513",
   "rootUrl": "https://recommendationengine.googleapis.com/",
   "schemas": {
     "GoogleApiHttpBody": {
@@ -1460,7 +1460,7 @@
           "additionalProperties": {
             "type": "any"
           },
-          "description": "Optional. Additional domain specific parameters for the predictions. Allowed values: * `returnCatalogItem`: Boolean. If set to true, the associated catalogItem object will be returned in the `PredictResponse.PredictionResult.itemMetadata` object in the method response. * `returnItemScore`: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the `metadata` field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history. * `strictFiltering`: Boolean. True by default. If set to false, the service will return generic (unfiltered) popular items instead of empty if your filter blocks all prediction results.",
+          "description": "Optional. Additional domain specific parameters for the predictions. Allowed values: * `returnCatalogItem`: Boolean. If set to true, the associated catalogItem object will be returned in the `PredictResponse.PredictionResult.itemMetadata` object in the method response. * `returnItemScore`: Boolean. If set to true, the prediction 'score' corresponding to each returned item will be set in the `metadata` field in the prediction response. The given 'score' indicates the probability of an item being clicked/purchased given the user's context and history. * `strictFiltering`: Boolean. True by default. If set to false, the service will return generic (unfiltered) popular items instead of empty if your filter blocks all prediction results. * `priceRerankLevel`: String. Default empty. If set to be non-empty, then it needs to be one of {'no-price-reranking', 'low-price-reranking', 'medium-price-reranking', 'high-price-reranking'}. This gives request level control and adjust prediction results based on product price. * `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 adjust prediction results based on product category.",
           "type": "object"
         },
         "userEvent": {