Recomms AI
  1. Recommendations
Recomms AI
  • Documentation
  • Recomms AI SDK
  • Items
    • Create an item
      POST
    • Update an item
      PATCH
    • Get items
      GET
    • Get item by ID
      GET
    • Delete item
      DELETE
    • Get item side info
      GET
    • Create item side info
      POST
    • Delete item side info
      DELETE
    • Reset items
      POST
  • Users
    • Create a user
      POST
    • Update a user
      PATCH
    • Get users
      GET
    • Get user by ID
      GET
    • Delete user
      DELETE
    • Get user side info
      GET
    • Create user side info
      POST
    • Delete user side info
      DELETE
    • Reset users
      POST
  • Interactions
    • Record an interaction
    • Get interactions
    • Delete an interaction
    • Record multiple interactions
    • Reset interactions
  • Business Rules
    • Create a new business rule
    • List business rules
    • Get business rule by ID
    • Update business rule
    • Delete business rule
  • Recommendations
    • Get item recommendations for a user
      GET
    • Get user recommendations for an item
      GET
    • Get similar users
      GET
    • Predict scores for user-item pairs
      GET
    • Predict scores for a batch of user-item combinations
      GET
    • Search for items
      GET
    • Search for users
      GET
    • Get top items
      GET
  1. Recommendations

Get user recommendations for an item

GET
https://api.recomms.ai/{database}/recomms/users-to-item
Retrieve a list of recommended users for a specific item.

Request

Path Params

Query Params

Request samples

Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request GET 'https://api.recomms.ai//recomms/users-to-item?itemId&pageSize&page&businessRules'

Responses

🟢200OK
application/json
Successful operation
Body

Example
[
    "string"
]
🟠400Bad Request
🟠401Unauthorized
🟠404Record Not Found
Modified at 2025-03-15 12:26:29
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Get item recommendations for a user
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