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/*
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 * in compliance with the License. You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software distributed under the License
 * is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */
/*
 * This code was generated by https://github.com/googleapis/google-api-java-client-services/
 * Modify at your own risk.
 */

package com.google.api.services.retail.v2.model;

/**
 * A boost action to apply to results matching condition specified above.
 *
 * 

This is the Java data model class that specifies how to parse/serialize into the JSON that is * transmitted over HTTP when working with the Vertex AI Search for Retail API. For a detailed * explanation see: * https://developers.google.com/api-client-library/java/google-http-java-client/json *

* * @author Google, Inc. */ @SuppressWarnings("javadoc") public final class GoogleCloudRetailV2RuleBoostAction extends com.google.api.client.json.GenericJson { /** * Strength of the condition boost, which must be in [-1, 1]. Negative boost means demotion. * Default is 0.0. Setting to 1.0 gives the item a big promotion. However, it does not necessarily * mean that the boosted item will be the top result at all times, nor that other items will be * excluded. Results could still be shown even when none of them matches the condition. And * results that are significantly more relevant to the search query can still trump your heavily * favored but irrelevant items. Setting to -1.0 gives the item a big demotion. However, results * that are deeply relevant might still be shown. The item will have an upstream battle to get a * fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost * applied. The boosting condition is ignored. * The value may be {@code null}. */ @com.google.api.client.util.Key private java.lang.Float boost; /** * The filter can have a max size of 5000 characters. An expression which specifies which products * to apply an action to. The syntax and supported fields are the same as a filter expression. See * SearchRequest.filter for detail syntax and limitations. Examples: * To boost products with * product ID "product_1" or "product_2", and color "Red" or "Blue": *(id: ANY("product_1", * "product_2")) * *AND * *(colorFamilies: ANY("Red", "Blue")) * * The value may be {@code null}. */ @com.google.api.client.util.Key private java.lang.String productsFilter; /** * Strength of the condition boost, which must be in [-1, 1]. Negative boost means demotion. * Default is 0.0. Setting to 1.0 gives the item a big promotion. However, it does not necessarily * mean that the boosted item will be the top result at all times, nor that other items will be * excluded. Results could still be shown even when none of them matches the condition. And * results that are significantly more relevant to the search query can still trump your heavily * favored but irrelevant items. Setting to -1.0 gives the item a big demotion. However, results * that are deeply relevant might still be shown. The item will have an upstream battle to get a * fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost * applied. The boosting condition is ignored. * @return value or {@code null} for none */ public java.lang.Float getBoost() { return boost; } /** * Strength of the condition boost, which must be in [-1, 1]. Negative boost means demotion. * Default is 0.0. Setting to 1.0 gives the item a big promotion. However, it does not necessarily * mean that the boosted item will be the top result at all times, nor that other items will be * excluded. Results could still be shown even when none of them matches the condition. And * results that are significantly more relevant to the search query can still trump your heavily * favored but irrelevant items. Setting to -1.0 gives the item a big demotion. However, results * that are deeply relevant might still be shown. The item will have an upstream battle to get a * fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost * applied. The boosting condition is ignored. * @param boost boost or {@code null} for none */ public GoogleCloudRetailV2RuleBoostAction setBoost(java.lang.Float boost) { this.boost = boost; return this; } /** * The filter can have a max size of 5000 characters. An expression which specifies which products * to apply an action to. The syntax and supported fields are the same as a filter expression. See * SearchRequest.filter for detail syntax and limitations. Examples: * To boost products with * product ID "product_1" or "product_2", and color "Red" or "Blue": *(id: ANY("product_1", * "product_2")) * *AND * *(colorFamilies: ANY("Red", "Blue")) * * @return value or {@code null} for none */ public java.lang.String getProductsFilter() { return productsFilter; } /** * The filter can have a max size of 5000 characters. An expression which specifies which products * to apply an action to. The syntax and supported fields are the same as a filter expression. See * SearchRequest.filter for detail syntax and limitations. Examples: * To boost products with * product ID "product_1" or "product_2", and color "Red" or "Blue": *(id: ANY("product_1", * "product_2")) * *AND * *(colorFamilies: ANY("Red", "Blue")) * * @param productsFilter productsFilter or {@code null} for none */ public GoogleCloudRetailV2RuleBoostAction setProductsFilter(java.lang.String productsFilter) { this.productsFilter = productsFilter; return this; } @Override public GoogleCloudRetailV2RuleBoostAction set(String fieldName, Object value) { return (GoogleCloudRetailV2RuleBoostAction) super.set(fieldName, value); } @Override public GoogleCloudRetailV2RuleBoostAction clone() { return (GoogleCloudRetailV2RuleBoostAction) super.clone(); } }




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