recommendation-engine amazon-personalize

AWS个性化用户属性

发布于 2025-01-24 09:50:47 字数 457 浏览 2 评论 0原文

我看到AWS个性化支持物品的类型。对于用户数据集，找不到有关首选类型的任何信息。

受支持吗？
为用户数据集添加首选流派是有意义的吗？

有关流派字段文档的一般问题

显示流派，例如action | Comedy的字符串，
可以发送ID而不是字符串值1 | 42可以吗？

仍然将流派字段定义为分类字符串字段吗？

{
          "name": "GENRES",
          "type": "string",
          "categorical": true
}

这不仅是幕后的数学，而且类型只是一个数字的有意义的名称并不重要吗？

原文

I see that AWS personalize supports GENRES for items.
Can't find anything about preferred GENRES for the users dataset.

is it supported?
does it make sense to add preferred GENRES for users dataset?

General question about GENRES field

doc shows genres as strings like action|comedy
is it OK to send ids instead of string values 1|42?

and still define GENRES field as categorical string field?

{
          "name": "GENRES",
          "type": "string",
          "categorical": true
}

Isn't it just a math behind the scenes and it doesn't really matter if genre is meaningful name of just a number?

分享到QQ

分享到微博

如果你对这篇内容有疑问，欢迎到本站社区发帖提问参与讨论，获取更多帮助，或者扫码二维码加入 Web 技术交流群。

发布评论

需要登录才能够评论，你可以免费注册一个本站的账号。

远山浅 2025-01-31 09:50:47

创建视频按需域数据集组，并包括项目数据集。对于电子商务域数据集组和自定义数据集组，不需要类型。

类型字段必须在您的项目数据集架构中标记为分类。

{
  "type": "record",
  "name": "Items",
  "namespace": "com.amazonaws.personalize.schema",
  "fields": [
    {
      "name": "ITEM_ID",
      "type": "string"
    },
    {
      "name": "GENRES",
      "type": "string",
      "categorical": true
    },
    {
      "name": "CREATION_TIMESTAMP",
      "type": "long"
    }
  ],
  "version": "1.0"
}

分类字段允许您为每个项目指定一个或多个值，其中多个项目通过|分开。例如，操作|冒险。您用于流派的值取决于您的数据。您可以使用字符串关键字或数字。只需确保将类型列作为字符串格式化，并在项目中使用一致的类型值。个性化将编码您在训练模型时指定的值。

The GENRES column is required when you create a Video On Demand domain dataset group and include an items dataset. For the e-commerce domain dataset group and custom dataset groups, GENRES is not required.

The GENRES field must be marked as categorical in your items dataset schema.

{
  "type": "record",
  "name": "Items",
  "namespace": "com.amazonaws.personalize.schema",
  "fields": [
    {
      "name": "ITEM_ID",
      "type": "string"
    },
    {
      "name": "GENRES",
      "type": "string",
      "categorical": true
    },
    {
      "name": "CREATION_TIMESTAMP",
      "type": "long"
    }
  ],
  "version": "1.0"
}

Categorical fields allow you to specify one or more values for each item where multiple items are separated by |. For example, Action|Adventure. The values you use for genres is dependent on your data. You can use string keywords or numbers. Just make sure that you format the GENRES column as a string and use consistent genre values across your items. Personalize will encode the values you specify when the model is trained.

回复收藏 0 原文

~没有更多了~