商品标题类目预测

商品标题类目预测服务适用于针对电商场景的商品标题，预测所属的类目，类目体系和淘宝一致。使用示例如下。

Java代码示例

DefaultProfile defaultProfile = DefaultProfile.getProfile("cn-hangzhou","your-access-id-key","your-access-id-secret");
IAcsClient client = new DefaultAcsClient(defaultProfile);
Map<String, Object> map = new HashMap<>();
map.put("input", "壁纸");
map.put("topk", 1);
RunPreTrainServiceRequest request = new RunPreTrainServiceRequest();
request.setServiceName("NLP-E-Commerce-Category");
request.setPredictContent(JSON.toJSONString(map));
RunPreTrainServiceResponse response = client.getAcsResponse(request);
System.out.println(response.getPredictResult());

Python代码示例

# 安装依赖
pip install aliyun-python-sdk-core
pip install aliyun-python-sdk-nlp-automl

# -*- coding: utf8 -*-
import json
from aliyunsdkcore.client import AcsClient
from aliyunsdkcore.acs_exception.exceptions import ClientException
from aliyunsdkcore.acs_exception.exceptions import ServerException
from aliyunsdknlp_automl.request.v20191111 import RunPreTrainServiceRequest
# Initialize AcsClient instance
client = AcsClient(
  "<your-access-key-id>",
  "<your-access-key-secret>",
  "cn-hangzhou"
);
content ={"input": "壁纸","topk":1}
# Initialize a request and set parameters
request = RunPreTrainServiceRequest.RunPreTrainServiceRequest()
request.set_ServiceName('NLP-E-Commerce-Category')
request.set_PredictContent(json.dumps(content))
# Print response
response = client.do_action_with_exception(request)
resp_obj = json.loads(response)
predict_result = json.loads(resp_obj['PredictResult'])
print(predict_result['result'])

PredictContent内容示例

{
  "input": "壁纸",
  "topk":1
}

PredictResult内容示例

{
  "label": [
    {
      "score": 0.8,
      "key": "家装主材-墙纸-纯纸墙纸",
      "id":"27-50013322-50024689"
    }
  ]
}

入参说明

出参说明