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自定义排名

自定义排名功能允许您引入自己的业务逻辑，来控制 Cloud Talent Solution 返回的招聘信息的排名。在网站上执行搜索的求职者可以照常设置其搜索查询和其他过滤器，并且可以向搜索请求添加排名表达式。Cloud Talent Solution 会根据求职者定义的查询确定相关招聘信息，并根据自定义排名表达式对结果进行排名。随后，它会将此排名列表返回给您，以便您可以将其显示给求职者。另外还提供有关实施自定义排名的视频教程。

优势

自定义排名允许您控制结果的列示方式。使用自定义排名可以定义可分配给自定义属性的权重。您可以使用权重和自定义属性的组合来构建自定义排名表达式，以确定所返回列表中列表项的顺序。

自定义排名基于现有搜索服务。它会利用任何客户定义的自定义属性组合中提供的值。

用例示例

最终用户搜索“软件工程师”。贵企业希望在搜索的返回列表中将“软件工程师”置于排名更加靠前的位置。利用自定义排名，即可为这些列表设置一个值，按照自定义排名表达式确定的顺序将其显示给最终用户。

例如，您有两份几乎相同的职位列表，招聘信息 A 的每次点击费用 (CPC) 值要高于招聘信息 B。您可以设置通过权重加以调整的 CPC 自定义属性排名，从而利用自定义排名提高招聘信息 A 的曝光率。

使用方法

自定义排名支持以下数学运算符：+、-、*、/、()

您可以使用自定义属性的字段名称和这些数学运算符，来定义自定义排名表达式。

例如，假设您有两个自定义属性：CPC 和新鲜度，新鲜度表示招聘信息发布至今的天数。您希望按每次点击费用和新鲜度对职位进行排名，其中每次点击费用占排名的 75%，而新鲜度则会计为 25%。您可以按如下方式创建自定义排名表达式：

(0.75*CPC) + (0.25 *Freshness)

代码示例

以下示例使用两个自定义属性 cpc_value 和 freshness_value 创建一个自定义排名表达式。它将自定义排名表达式设置为 (cpc_value / 2) - freshness_value。

Go

如需了解如何安装和使用 CTS 客户端库，请参阅 CTS 客户端库。有关详情，请参阅 CTS Go API 参考文档。

如需向 CTS 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"fmt"
	"io"

	talent "cloud.google.com/go/talent/apiv4beta1"
	"cloud.google.com/go/talent/apiv4beta1/talentpb"
)

// customRankingSearch searches for jobs based on custom ranking.
func customRankingSearch(w io.Writer, projectID, companyID string) error {
	ctx := context.Background()

	// Initialize a jobService client.
	c, err := talent.NewJobClient(ctx)
	if err != nil {
		return fmt.Errorf("taleng.NewJobClient: %w", err)
	}
	defer c.Close()

	// Construct a searchJobs request.
	req := &talentpb.SearchJobsRequest{
		Parent: fmt.Sprintf("projects/%s", projectID),
		// Make sure to set the RequestMetadata the same as the associated
		// search request.
		RequestMetadata: &talentpb.RequestMetadata{
			// Make sure to hash your userID.
			UserId: "HashedUsrID",
			// Make sure to hash the sessionID.
			SessionId: "HashedSessionID",
			// Domain of the website where the search is conducted.
			Domain: "www.googlesample.com",
		},
		JobQuery: &talentpb.JobQuery{
			Companies: []string{fmt.Sprintf("projects/%s/companies/%s", projectID, companyID)},
		},
		// More info on customRankingInfo.
		// https://godoc.org/google.golang.org/genproto/googleapis/cloud/talent/v4beta1#SearchJobsRequest_CustomRankingInfo
		CustomRankingInfo: &talentpb.SearchJobsRequest_CustomRankingInfo{
			ImportanceLevel:   talentpb.SearchJobsRequest_CustomRankingInfo_EXTREME,
			RankingExpression: "(someFieldLong + 25) * 0.25",
		},
		OrderBy: "custom_ranking desc",
	}

	resp, err := c.SearchJobs(ctx, req)
	if err != nil {
		return fmt.Errorf("SearchJobs: %w", err)
	}

	for _, job := range resp.GetMatchingJobs() {
		fmt.Fprintf(w, "Job: %q\n", job.GetJob().GetName())
	}

	return nil
}

Java

如需了解如何安装和使用 CTS 客户端库，请参阅 CTS 客户端库。有关详情，请参阅 CTS Java API 参考文档。

如需向 CTS 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.talent.v4.Job;
import com.google.cloud.talent.v4.JobServiceClient;
import com.google.cloud.talent.v4.RequestMetadata;
import com.google.cloud.talent.v4.SearchJobsRequest;
import com.google.cloud.talent.v4.SearchJobsResponse;
import com.google.cloud.talent.v4.TenantName;
import java.io.IOException;

public class CustomRankingSearchJobs {

  public static void searchCustomRankingJobs() throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String tenantId = "your-tenant-id";
    searchCustomRankingJobs(projectId, tenantId);
  }

  // Search Jobs using custom rankings.
  public static void searchCustomRankingJobs(String projectId, String tenantId) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
      TenantName parent = TenantName.of(projectId, tenantId);
      String domain = "www.example.com";
      String sessionId = "Hashed session identifier";
      String userId = "Hashed user identifier";
      RequestMetadata requestMetadata =
          RequestMetadata.newBuilder()
              .setDomain(domain)
              .setSessionId(sessionId)
              .setUserId(userId)
              .build();
      SearchJobsRequest.CustomRankingInfo.ImportanceLevel importanceLevel =
          SearchJobsRequest.CustomRankingInfo.ImportanceLevel.EXTREME;
      String rankingExpression = "(someFieldLong + 25) * 0.25";
      SearchJobsRequest.CustomRankingInfo customRankingInfo =
          SearchJobsRequest.CustomRankingInfo.newBuilder()
              .setImportanceLevel(importanceLevel)
              .setRankingExpression(rankingExpression)
              .build();
      String orderBy = "custom_ranking desc";
      SearchJobsRequest request =
          SearchJobsRequest.newBuilder()
              .setParent(parent.toString())
              .setRequestMetadata(requestMetadata)
              .setCustomRankingInfo(customRankingInfo)
              .setOrderBy(orderBy)
              .build();
      for (SearchJobsResponse.MatchingJob responseItem :
          jobServiceClient.searchJobs(request).getMatchingJobsList()) {
        System.out.format("Job summary: %s%n", responseItem.getJobSummary());
        System.out.format("Job title snippet: %s%n", responseItem.getJobTitleSnippet());
        Job job = responseItem.getJob();
        System.out.format("Job name: %s%n", job.getName());
        System.out.format("Job title: %s%n", job.getTitle());
      }
    }
  }
}

Node.js

如需了解如何安装和使用 CTS 客户端库，请参阅 CTS 客户端库。有关详情，请参阅 CTS Node.js API 参考文档。

如需向 CTS 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


const talent = require('@google-cloud/talent').v4;

/**
 * Search Jobs using custom rankings
 *
 * @param projectId {string} Your Google Cloud Project ID
 * @param tenantId {string} Identifier of the Tenantd
 */
function sampleSearchJobs(projectId, tenantId) {
  const client = new talent.JobServiceClient();
  // Iterate over all elements.
  // const projectId = 'Your Google Cloud Project ID';
  // const tenantId = 'Your Tenant ID (using tenancy is optional)';
  const formattedParent = client.tenantPath(projectId, tenantId);
  const domain = 'www.example.com';
  const sessionId = 'Hashed session identifier';
  const userId = 'Hashed user identifier';
  const requestMetadata = {
    domain: domain,
    sessionId: sessionId,
    userId: userId,
  };
  const importanceLevel = 'EXTREME';
  const rankingExpression = '(someFieldLong + 25) * 0.25';
  const customRankingInfo = {
    importanceLevel: importanceLevel,
    rankingExpression: rankingExpression,
  };
  const orderBy = 'custom_ranking desc';
  const request = {
    parent: formattedParent,
    requestMetadata: requestMetadata,
    customRankingInfo: customRankingInfo,
    orderBy: orderBy,
  };

  client
    .searchJobs(request)
    .then(responses => {
      for (const resources of responses) {
        for (const resource of resources.matchingJobs) {
          console.log(`Job summary: ${resource.jobSummary}`);
          console.log(`Job title snippet: ${resource.jobTitleSnippet}`);
          const job = resource.job;
          console.log(`Job name: ${job.name}`);
          console.log(`Job title: ${job.title}`);
        }
      }
    })
    .catch(err => {
      console.error(err);
    });
}

Python

如需了解如何安装和使用适用于 CTS 的客户端库，请参阅 CTS 客户端库。有关详情，请参阅 CTS Python API 参考文档。

如需向 CTS 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


from google.cloud import talent


def search_jobs(project_id, tenant_id):
    """Search Jobs using custom rankings"""

    client = talent.JobServiceClient()

    # project_id = 'Your Google Cloud Project ID'
    # tenant_id = 'Your Tenant ID (using tenancy is optional)'

    if isinstance(project_id, bytes):
        project_id = project_id.decode("utf-8")
    if isinstance(tenant_id, bytes):
        tenant_id = tenant_id.decode("utf-8")
    parent = f"projects/{project_id}/tenants/{tenant_id}"
    domain = "www.example.com"
    session_id = "Hashed session identifier"
    user_id = "Hashed user identifier"
    request_metadata = talent.RequestMetadata(
        domain=domain, session_id=session_id, user_id=user_id
    )
    importance_level = (
        talent.SearchJobsRequest.CustomRankingInfo.ImportanceLevel.EXTREME
    )
    ranking_expression = "(someFieldLong + 25) * 0.25"
    custom_ranking_info = {
        "importance_level": importance_level,
        "ranking_expression": ranking_expression,
    }
    order_by = "custom_ranking desc"

    # Iterate over all results
    results = []
    request = talent.SearchJobsRequest(
        parent=parent,
        request_metadata=request_metadata,
        custom_ranking_info=custom_ranking_info,
        order_by=order_by,
    )
    for response_item in client.search_jobs(request=request).matching_jobs:
        print(f"Job summary: {response_item.job_summary}")
        print(f"Job title snippet: {response_item.job_title_snippet}")
        job = response_item.job
        results.append(job.name)
        print(f"Job name: {job.name}")
        print(f"Job title: {job.title}")
    return results