aexol-studio / recommendation_user_based

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Run aexol-studio/recommendation_user_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
data
string
api:McAuley-Lab/Amazon-Reviews-2023 0core_rating_only_Digital_Music
HuggingFace Datasets (api:McAuley-Lab/Amazon-Reviews-2023 0core_rating_only_Digital_Music) or path (path:data/reviews.csv)
line_format
string
user item rating timestamp
line format
columns_name
string
user_id parent_asin rating
columns name
min_rating
integer
1
minimum rating
max_rating
integer
5
maximum rating
size
integer
10
top n recommendation
pretrained
boolean
False
Whether to use a pretrained model
show_metrics
boolean
False
Whether to show the evaluation metrics

Output schema

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

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