Recommendations

The Recommendations API identifies consumption patterns from your transaction information in order to provide recommendations. These recommendations can help your customers more easily discover items that they may be interested in.
By showing your customers products that they are more likely to be interested in, you will, in turn, increase your sales.

Start batch job

Submits a Batch Execution job.

There are situations when you need to get recommendations for more than one item at a time. For instance, you may be interested in creating a recommendations cache or even doing an analysis on the types of recommendations you are getting.

Batch scoring operations are asynchronous operations. This API allows you to kick start the scoring operation. Once the operation is started, you need to wait for it to complete before you can gather the results of the operation. The response from the creation call with contain a header called Operation-Location. You can use this operation location to query the status of the batch processing. See the "Get operation status" API.

Sample request body

    {
      "input": {
        "authenticationType": "PublicOrSas",
        "baseLocation": "https://mystorage1.blob.core.windows.net/",
        "relativeLocation": "container1/batchInput.json",
        "sasBlobToken": "?sv=2015-07_restofToken_...&sp=rw"
      },
      "output": {
        "authenticationType": "PublicOrSas",
        "baseLocation": "https://mystorage1.blob.core.windows.net/",
        "relativeLocation": "container1/batchOutput.json ",
        "sasBlobToken": "?sv=2015-07_restofToken_...4Z&sp=rw"
      },
      "error": {
        "authenticationType": "PublicOrSas",
        "baseLocation": "https://mystorage1.blob.core.windows.net/",
        "relativeLocation": "container1/errors.txt",
        "sasBlobToken": "?sv=2015-07_restofToken_...4Z&sp=rw"
      },
      "job": {
        "apiName": "ItemRecommend",
        "modelId": "9ac12a0a-1add-4bdc-bf42-c6517942b3a6",
        "buildId": 1015703,
        "numberOfResults": 10,
        "includeMetadata": true,
        "minimalScore": 0.0
      }
    }

Limitations
Currently only one scoring job is allowed at a time.
A batch job input file cannot be more than 2MB.

Open API testing console

Request URL

Request headers

(optional)
string
Media type of the body sent to the API.
string
Subscription key which provides access to this API. Found in your Cognitive Services accounts.

Request body

Parameters for the new batch job

{
  "input": {
    "authenticationType": "string",
    "baseLocation": "string",
    "relativeLocation": "string",
    "sasBlobToken": "string"
  },
  "output": {
    "authenticationType": "string",
    "baseLocation": "string",
    "relativeLocation": "string",
    "sasBlobToken": "string"
  },
  "error": {
    "authenticationType": "string",
    "baseLocation": "string",
    "relativeLocation": "string",
    "sasBlobToken": "string"
  },
  "job": {
    "apiName": "string",
    "modelId": "string",
    "buildId": 0,
    "numberOfResults": 0,
    "includeMetadata": true,
    "minimalScore": 0.0
  }
}
{
  "type": "object",
  "properties": {
    "input": {
      "type": "object",
      "properties": {
        "authenticationType": {
          "description": "Authentication Type\r\n            value \"PublicOrSas\"",
          "type": "string"
        },
        "baseLocation": {
          "description": "Base Location\r\n            ex: \"https://{storage name}.blob.core.windows.net/\"",
          "type": "string"
        },
        "relativeLocation": {
          "description": "The relative location, including the container name",
          "type": "string"
        },
        "sasBlobToken": {
          "description": "The sasToken to access the file",
          "type": "string"
        }
      },
      "description": "The input storage blob info"
    },
    "output": {
      "type": "object",
      "properties": {
        "authenticationType": {
          "description": "Authentication Type\r\n            value \"PublicOrSas\"",
          "type": "string"
        },
        "baseLocation": {
          "description": "Base Location\r\n            ex: \"https://{storage name}.blob.core.windows.net/\"",
          "type": "string"
        },
        "relativeLocation": {
          "description": "The relative location, including the container name",
          "type": "string"
        },
        "sasBlobToken": {
          "description": "The sasToken to access the file",
          "type": "string"
        }
      },
      "description": "The output storage blob info"
    },
    "error": {
      "type": "object",
      "properties": {
        "authenticationType": {
          "description": "Authentication Type\r\n            value \"PublicOrSas\"",
          "type": "string"
        },
        "baseLocation": {
          "description": "Base Location\r\n            ex: \"https://{storage name}.blob.core.windows.net/\"",
          "type": "string"
        },
        "relativeLocation": {
          "description": "The relative location, including the container name",
          "type": "string"
        },
        "sasBlobToken": {
          "description": "The sasToken to access the file",
          "type": "string"
        }
      },
      "description": "The error storage blob info"
    },
    "job": {
      "type": "object",
      "properties": {
        "apiName": {
          "description": "Api Name\r\n            The ApiName is internally an enum (see SupportedApis in BatchScoringManager)\r\n            The valid values should be: ItemRecommend, UserRecommend, ItemFbtRecommend",
          "type": "string"
        },
        "modelId": {
          "description": "The Model Id\r\n            ModelId is the model id which batch scoring is requested to",
          "type": "string"
        },
        "buildId": {
          "format": "int64",
          "description": "The build Id\r\n            BuildId is the build id which batch scoring is requested to\r\n            It is optional. If it is not provided, the active build id will be used",
          "type": "integer"
        },
        "numberOfResults": {
          "format": "int32",
          "description": "Number of recommendations\r\n            It indicates the number of results (recommended items) each request should return\r\n            It is optional. The default value is 10",
          "type": "integer"
        },
        "includeMetadata": {
          "description": "Include Metadata\r\n            it indicates whether the result should include metadata or not\r\n            It is optional. The default value is false",
          "type": "boolean"
        },
        "minimalScore": {
          "format": "double",
          "description": "The minimum score. Currently only supported for FbtBuilds\r\n            It indicates the minimal score to return\r\n            It is optional. The default value is 0.1",
          "type": "number"
        }
      },
      "description": "The job info"
    }
  }
}
{
  "input": {
    "authenticationType": "string",
    "baseLocation": "string",
    "relativeLocation": "string",
    "sasBlobToken": "string"
  },
  "output": {
    "authenticationType": "string",
    "baseLocation": "string",
    "relativeLocation": "string",
    "sasBlobToken": "string"
  },
  "error": {
    "authenticationType": "string",
    "baseLocation": "string",
    "relativeLocation": "string",
    "sasBlobToken": "string"
  },
  "job": {
    "apiName": "string",
    "modelId": "string",
    "buildId": 0,
    "numberOfResults": 0,
    "includeMetadata": true,
    "minimalScore": 0.0
  }
}
{
  "type": "object",
  "properties": {
    "input": {
      "type": "object",
      "properties": {
        "authenticationType": {
          "description": "Authentication Type\r\n            value \"PublicOrSas\"",
          "type": "string"
        },
        "baseLocation": {
          "description": "Base Location\r\n            ex: \"https://{storage name}.blob.core.windows.net/\"",
          "type": "string"
        },
        "relativeLocation": {
          "description": "The relative location, including the container name",
          "type": "string"
        },
        "sasBlobToken": {
          "description": "The sasToken to access the file",
          "type": "string"
        }
      },
      "description": "The input storage blob info"
    },
    "output": {
      "type": "object",
      "properties": {
        "authenticationType": {
          "description": "Authentication Type\r\n            value \"PublicOrSas\"",
          "type": "string"
        },
        "baseLocation": {
          "description": "Base Location\r\n            ex: \"https://{storage name}.blob.core.windows.net/\"",
          "type": "string"
        },
        "relativeLocation": {
          "description": "The relative location, including the container name",
          "type": "string"
        },
        "sasBlobToken": {
          "description": "The sasToken to access the file",
          "type": "string"
        }
      },
      "description": "The output storage blob info"
    },
    "error": {
      "type": "object",
      "properties": {
        "authenticationType": {
          "description": "Authentication Type\r\n            value \"PublicOrSas\"",
          "type": "string"
        },
        "baseLocation": {
          "description": "Base Location\r\n            ex: \"https://{storage name}.blob.core.windows.net/\"",
          "type": "string"
        },
        "relativeLocation": {
          "description": "The relative location, including the container name",
          "type": "string"
        },
        "sasBlobToken": {
          "description": "The sasToken to access the file",
          "type": "string"
        }
      },
      "description": "The error storage blob info"
    },
    "job": {
      "type": "object",
      "properties": {
        "apiName": {
          "description": "Api Name\r\n            The ApiName is internally an enum (see SupportedApis in BatchScoringManager)\r\n            The valid values should be: ItemRecommend, UserRecommend, ItemFbtRecommend",
          "type": "string"
        },
        "modelId": {
          "description": "The Model Id\r\n            ModelId is the model id which batch scoring is requested to",
          "type": "string"
        },
        "buildId": {
          "format": "int64",
          "description": "The build Id\r\n            BuildId is the build id which batch scoring is requested to\r\n            It is optional. If it is not provided, the active build id will be used",
          "type": "integer"
        },
        "numberOfResults": {
          "format": "int32",
          "description": "Number of recommendations\r\n            It indicates the number of results (recommended items) each request should return\r\n            It is optional. The default value is 10",
          "type": "integer"
        },
        "includeMetadata": {
          "description": "Include Metadata\r\n            it indicates whether the result should include metadata or not\r\n            It is optional. The default value is false",
          "type": "boolean"
        },
        "minimalScore": {
          "format": "double",
          "description": "The minimum score. Currently only supported for FbtBuilds\r\n            It indicates the minimal score to return\r\n            It is optional. The default value is 0.1",
          "type": "number"
        }
      },
      "description": "The job info"
    }
  }
}
<BatchJobsRequestInfo>
  <input>
    <authenticationType>string</authenticationType>
    <baseLocation>string</baseLocation>
    <relativeLocation>string</relativeLocation>
    <sasBlobToken>string</sasBlobToken>
  </input>
  <output>
    <authenticationType>string</authenticationType>
    <baseLocation>string</baseLocation>
    <relativeLocation>string</relativeLocation>
    <sasBlobToken>string</sasBlobToken>
  </output>
  <error>
    <authenticationType>string</authenticationType>
    <baseLocation>string</baseLocation>
    <relativeLocation>string</relativeLocation>
    <sasBlobToken>string</sasBlobToken>
  </error>
  <job>
    <apiName>string</apiName>
    <modelId>string</modelId>
    <buildId>0</buildId>
    <numberOfResults>0</numberOfResults>
    <includeMetadata>true</includeMetadata>
    <minimalScore>0</minimalScore>
  </job>
</BatchJobsRequestInfo>
{
  "type": "object",
  "properties": {
    "input": {
      "type": "object",
      "properties": {
        "authenticationType": {
          "description": "Authentication Type\r\n            value \"PublicOrSas\"",
          "type": "string"
        },
        "baseLocation": {
          "description": "Base Location\r\n            ex: \"https://{storage name}.blob.core.windows.net/\"",
          "type": "string"
        },
        "relativeLocation": {
          "description": "The relative location, including the container name",
          "type": "string"
        },
        "sasBlobToken": {
          "description": "The sasToken to access the file",
          "type": "string"
        }
      },
      "description": "The input storage blob info"
    },
    "output": {
      "type": "object",
      "properties": {
        "authenticationType": {
          "description": "Authentication Type\r\n            value \"PublicOrSas\"",
          "type": "string"
        },
        "baseLocation": {
          "description": "Base Location\r\n            ex: \"https://{storage name}.blob.core.windows.net/\"",
          "type": "string"
        },
        "relativeLocation": {
          "description": "The relative location, including the container name",
          "type": "string"
        },
        "sasBlobToken": {
          "description": "The sasToken to access the file",
          "type": "string"
        }
      },
      "description": "The output storage blob info"
    },
    "error": {
      "type": "object",
      "properties": {
        "authenticationType": {
          "description": "Authentication Type\r\n            value \"PublicOrSas\"",
          "type": "string"
        },
        "baseLocation": {
          "description": "Base Location\r\n            ex: \"https://{storage name}.blob.core.windows.net/\"",
          "type": "string"
        },
        "relativeLocation": {
          "description": "The relative location, including the container name",
          "type": "string"
        },
        "sasBlobToken": {
          "description": "The sasToken to access the file",
          "type": "string"
        }
      },
      "description": "The error storage blob info"
    },
    "job": {
      "type": "object",
      "properties": {
        "apiName": {
          "description": "Api Name\r\n            The ApiName is internally an enum (see SupportedApis in BatchScoringManager)\r\n            The valid values should be: ItemRecommend, UserRecommend, ItemFbtRecommend",
          "type": "string"
        },
        "modelId": {
          "description": "The Model Id\r\n            ModelId is the model id which batch scoring is requested to",
          "type": "string"
        },
        "buildId": {
          "format": "int64",
          "description": "The build Id\r\n            BuildId is the build id which batch scoring is requested to\r\n            It is optional. If it is not provided, the active build id will be used",
          "type": "integer"
        },
        "numberOfResults": {
          "format": "int32",
          "description": "Number of recommendations\r\n            It indicates the number of results (recommended items) each request should return\r\n            It is optional. The default value is 10",
          "type": "integer"
        },
        "includeMetadata": {
          "description": "Include Metadata\r\n            it indicates whether the result should include metadata or not\r\n            It is optional. The default value is false",
          "type": "boolean"
        },
        "minimalScore": {
          "format": "double",
          "description": "The minimum score. Currently only supported for FbtBuilds\r\n            It indicates the minimal score to return\r\n            It is optional. The default value is 0.1",
          "type": "number"
        }
      },
      "description": "The job info"
    }
  }
}
<BatchJobsRequestInfo>
  <input>
    <authenticationType>string</authenticationType>
    <baseLocation>string</baseLocation>
    <relativeLocation>string</relativeLocation>
    <sasBlobToken>string</sasBlobToken>
  </input>
  <output>
    <authenticationType>string</authenticationType>
    <baseLocation>string</baseLocation>
    <relativeLocation>string</relativeLocation>
    <sasBlobToken>string</sasBlobToken>
  </output>
  <error>
    <authenticationType>string</authenticationType>
    <baseLocation>string</baseLocation>
    <relativeLocation>string</relativeLocation>
    <sasBlobToken>string</sasBlobToken>
  </error>
  <job>
    <apiName>string</apiName>
    <modelId>string</modelId>
    <buildId>0</buildId>
    <numberOfResults>0</numberOfResults>
    <includeMetadata>true</includeMetadata>
    <minimalScore>0</minimalScore>
  </job>
</BatchJobsRequestInfo>
{
  "type": "object",
  "properties": {
    "input": {
      "type": "object",
      "properties": {
        "authenticationType": {
          "description": "Authentication Type\r\n            value \"PublicOrSas\"",
          "type": "string"
        },
        "baseLocation": {
          "description": "Base Location\r\n            ex: \"https://{storage name}.blob.core.windows.net/\"",
          "type": "string"
        },
        "relativeLocation": {
          "description": "The relative location, including the container name",
          "type": "string"
        },
        "sasBlobToken": {
          "description": "The sasToken to access the file",
          "type": "string"
        }
      },
      "description": "The input storage blob info"
    },
    "output": {
      "type": "object",
      "properties": {
        "authenticationType": {
          "description": "Authentication Type\r\n            value \"PublicOrSas\"",
          "type": "string"
        },
        "baseLocation": {
          "description": "Base Location\r\n            ex: \"https://{storage name}.blob.core.windows.net/\"",
          "type": "string"
        },
        "relativeLocation": {
          "description": "The relative location, including the container name",
          "type": "string"
        },
        "sasBlobToken": {
          "description": "The sasToken to access the file",
          "type": "string"
        }
      },
      "description": "The output storage blob info"
    },
    "error": {
      "type": "object",
      "properties": {
        "authenticationType": {
          "description": "Authentication Type\r\n            value \"PublicOrSas\"",
          "type": "string"
        },
        "baseLocation": {
          "description": "Base Location\r\n            ex: \"https://{storage name}.blob.core.windows.net/\"",
          "type": "string"
        },
        "relativeLocation": {
          "description": "The relative location, including the container name",
          "type": "string"
        },
        "sasBlobToken": {
          "description": "The sasToken to access the file",
          "type": "string"
        }
      },
      "description": "The error storage blob info"
    },
    "job": {
      "type": "object",
      "properties": {
        "apiName": {
          "description": "Api Name\r\n            The ApiName is internally an enum (see SupportedApis in BatchScoringManager)\r\n            The valid values should be: ItemRecommend, UserRecommend, ItemFbtRecommend",
          "type": "string"
        },
        "modelId": {
          "description": "The Model Id\r\n            ModelId is the model id which batch scoring is requested to",
          "type": "string"
        },
        "buildId": {
          "format": "int64",
          "description": "The build Id\r\n            BuildId is the build id which batch scoring is requested to\r\n            It is optional. If it is not provided, the active build id will be used",
          "type": "integer"
        },
        "numberOfResults": {
          "format": "int32",
          "description": "Number of recommendations\r\n            It indicates the number of results (recommended items) each request should return\r\n            It is optional. The default value is 10",
          "type": "integer"
        },
        "includeMetadata": {
          "description": "Include Metadata\r\n            it indicates whether the result should include metadata or not\r\n            It is optional. The default value is false",
          "type": "boolean"
        },
        "minimalScore": {
          "format": "double",
          "description": "The minimum score. Currently only supported for FbtBuilds\r\n            It indicates the minimal score to return\r\n            It is optional. The default value is 0.1",
          "type": "number"
        }
      },
      "description": "The job info"
    }
  }
}

Response 202

Response 400

Code samples

@ECHO OFF

curl -v -X POST "https://westus.api.cognitive.microsoft.com/recommendations/v4.0/batchjobs"
-H "Content-Type: application/json"
-H "Ocp-Apim-Subscription-Key: {subscription key}"

--data-ascii "{body}" 
using System;
using System.Net.Http.Headers;
using System.Text;
using System.Net.Http;
using System.Web;

namespace CSHttpClientSample
{
    static class Program
    {
        static void Main()
        {
            MakeRequest();
            Console.WriteLine("Hit ENTER to exit...");
            Console.ReadLine();
        }
        
        static async void MakeRequest()
        {
            var client = new HttpClient();
            var queryString = HttpUtility.ParseQueryString(string.Empty);

            // Request headers
            client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "{subscription key}");

            var uri = "https://westus.api.cognitive.microsoft.com/recommendations/v4.0/batchjobs?" + queryString;

            HttpResponseMessage response;

            // Request body
            byte[] byteData = Encoding.UTF8.GetBytes("{body}");

            using (var content = new ByteArrayContent(byteData))
            {
               content.Headers.ContentType = new MediaTypeHeaderValue("< your content type, i.e. application/json >");
               response = await client.PostAsync(uri, content);
            }

        }
    }
}	
// // This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
import java.net.URI;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;

public class JavaSample 
{
    public static void main(String[] args) 
    {
        HttpClient httpclient = HttpClients.createDefault();

        try
        {
            URIBuilder builder = new URIBuilder("https://westus.api.cognitive.microsoft.com/recommendations/v4.0/batchjobs");


            URI uri = builder.build();
            HttpPost request = new HttpPost(uri);
            request.setHeader("Content-Type", "application/json");
            request.setHeader("Ocp-Apim-Subscription-Key", "{subscription key}");


            // Request body
            StringEntity reqEntity = new StringEntity("{body}");
            request.setEntity(reqEntity);

            HttpResponse response = httpclient.execute(request);
            HttpEntity entity = response.getEntity();

            if (entity != null) 
            {
                System.out.println(EntityUtils.toString(entity));
            }
        }
        catch (Exception e)
        {
            System.out.println(e.getMessage());
        }
    }
}

<!DOCTYPE html>
<html>
<head>
    <title>JSSample</title>
    <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
</head>
<body>

<script type="text/javascript">
    $(function() {
        var params = {
            // Request parameters
        };
      
        $.ajax({
            url: "https://westus.api.cognitive.microsoft.com/recommendations/v4.0/batchjobs?" + $.param(params),
            beforeSend: function(xhrObj){
                // Request headers
                xhrObj.setRequestHeader("Content-Type","application/json");
                xhrObj.setRequestHeader("Ocp-Apim-Subscription-Key","{subscription key}");
            },
            type: "POST",
            // Request body
            data: "{body}",
        })
        .done(function(data) {
            alert("success");
        })
        .fail(function() {
            alert("error");
        });
    });
</script>
</body>
</html>
#import <Foundation/Foundation.h>

int main(int argc, const char * argv[])
{
    NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init];
    
    NSString* path = @"https://westus.api.cognitive.microsoft.com/recommendations/v4.0/batchjobs";
    NSArray* array = @[
                         // Request parameters
                         @"entities=true",
                      ];
    
    NSString* string = [array componentsJoinedByString:@"&"];
    path = [path stringByAppendingFormat:@"?%@", string];

    NSLog(@"%@", path);

    NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
    [_request setHTTPMethod:@"POST"];
    // Request headers
    [_request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
    [_request setValue:@"{subscription key}" forHTTPHeaderField:@"Ocp-Apim-Subscription-Key"];
    // Request body
    [_request setHTTPBody:[@"{body}" dataUsingEncoding:NSUTF8StringEncoding]];
    
    NSURLResponse *response = nil;
    NSError *error = nil;
    NSData* _connectionData = [NSURLConnection sendSynchronousRequest:_request returningResponse:&response error:&error];

    if (nil != error)
    {
        NSLog(@"Error: %@", error);
    }
    else
    {
        NSError* error = nil;
        NSMutableDictionary* json = nil;
        NSString* dataString = [[NSString alloc] initWithData:_connectionData encoding:NSUTF8StringEncoding];
        NSLog(@"%@", dataString);
        
        if (nil != _connectionData)
        {
            json = [NSJSONSerialization JSONObjectWithData:_connectionData options:NSJSONReadingMutableContainers error:&error];
        }
        
        if (error || !json)
        {
            NSLog(@"Could not parse loaded json with error:%@", error);
        }
        
        NSLog(@"%@", json);
        _connectionData = nil;
    }
    
    [pool drain];

    return 0;
}
<?php
// This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
require_once 'HTTP/Request2.php';

$request = new Http_Request2('https://westus.api.cognitive.microsoft.com/recommendations/v4.0/batchjobs');
$url = $request->getUrl();

$headers = array(
    // Request headers
    'Content-Type' => 'application/json',
    'Ocp-Apim-Subscription-Key' => '{subscription key}',
);

$request->setHeader($headers);

$parameters = array(
    // Request parameters
);

$url->setQueryVariables($parameters);

$request->setMethod(HTTP_Request2::METHOD_POST);

// Request body
$request->setBody("{body}");

try
{
    $response = $request->send();
    echo $response->getBody();
}
catch (HttpException $ex)
{
    echo $ex;
}

?>
########### Python 2.7 #############
import httplib, urllib, base64

headers = {
    # Request headers
    'Content-Type': 'application/json',
    'Ocp-Apim-Subscription-Key': '{subscription key}',
}

params = urllib.urlencode({
})

try:
    conn = httplib.HTTPSConnection('westus.api.cognitive.microsoft.com')
    conn.request("POST", "/recommendations/v4.0/batchjobs?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################

########### Python 3.2 #############
import http.client, urllib.request, urllib.parse, urllib.error, base64

headers = {
    # Request headers
    'Content-Type': 'application/json',
    'Ocp-Apim-Subscription-Key': '{subscription key}',
}

params = urllib.parse.urlencode({
})

try:
    conn = http.client.HTTPSConnection('westus.api.cognitive.microsoft.com')
    conn.request("POST", "/recommendations/v4.0/batchjobs?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################
require 'net/http'

uri = URI('https://westus.api.cognitive.microsoft.com/recommendations/v4.0/batchjobs')
uri.query = URI.encode_www_form({
})

request = Net::HTTP::Post.new(uri.request_uri)
# Request headers
request['Content-Type'] = 'application/json'
# Request headers
request['Ocp-Apim-Subscription-Key'] = '{subscription key}'
# Request body
request.body = "{body}"

response = Net::HTTP.start(uri.host, uri.port, :use_ssl => uri.scheme == 'https') do |http|
    http.request(request)
end

puts response.body