aexol-studio/recommendation_content_based

aexol-studio / recommendation_content_based

Public
22 runs

Run aexol-studio/recommendation_content_based with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
reviews	string	api:McAuley-Lab/Amazon-Reviews-2023 raw_review_Digital_Music	HuggingFace Datasets API (api:McAuley-Lab/Amazon-Reviews-2023 raw_meta_Digital_Music) or path (path:data/reviews.csv)
user_id	string	AHZZPUYPNZQ7QXK55HGGE3Z7TTEA	user id
user_column	string	user_id	user column
product_column	string	parent_asin	product column
name_column	string	title	title column
text_column	string	text	text column
top_n	integer	10	top n recommendation
pretrained	boolean	False	Whether to use a pretrained model
show_metrics	boolean	False	Whether to show the evaluation metrics

{
  "type": "object",
  "title": "Input",
  "properties": {
    "top_n": {
      "type": "integer",
      "title": "Top N",
      "default": 10,
      "x-order": 6,
      "description": "top n recommendation"
    },
    "reviews": {
      "type": "string",
      "title": "Reviews",
      "default": "api:McAuley-Lab/Amazon-Reviews-2023 raw_review_Digital_Music",
      "x-order": 0,
      "description": "HuggingFace Datasets API (api:McAuley-Lab/Amazon-Reviews-2023 raw_meta_Digital_Music) or path (path:data/reviews.csv)"
    },
    "user_id": {
      "type": "string",
      "title": "User Id",
      "default": "AHZZPUYPNZQ7QXK55HGGE3Z7TTEA",
      "x-order": 1,
      "description": "user id"
    },
    "pretrained": {
      "type": "boolean",
      "title": "Pretrained",
      "default": false,
      "x-order": 7,
      "description": "Whether to use a pretrained model"
    },
    "name_column": {
      "type": "string",
      "title": "Name Column",
      "default": "title",
      "x-order": 4,
      "description": "title column"
    },
    "text_column": {
      "type": "string",
      "title": "Text Column",
      "default": "text",
      "x-order": 5,
      "description": "text column"
    },
    "user_column": {
      "type": "string",
      "title": "User Column",
      "default": "user_id",
      "x-order": 2,
      "description": "user column"
    },
    "show_metrics": {
      "type": "boolean",
      "title": "Show Metrics",
      "default": false,
      "x-order": 8,
      "description": "Whether to show the evaluation metrics"
    },
    "product_column": {
      "type": "string",
      "title": "Product Column",
      "default": "parent_asin",
      "x-order": 3,
      "description": "product column"
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "string",
  "title": "Output"
}