Abracadabra Recommender Systems

FREEMIUM
By noodlio
Updated 7 months ago
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Abracadabra Recommender Systems API Documentation

Relevant content at your fingertips - a powerful recommender system only 3 HTTP calls away. Support for Collaborative, Content-Based and Hybrid Filtering.

View API Details
POST/add/subjects
POST/rate/subject
POST/recommend
POST/add/subjects

We start with adding subjects to the recommender engine. As a recap, a subject is the entity that you wish to recommend to an user. For instance movies, products, etc.

Header Parameters
X-RapidAPI-HostSTRING
REQUIRED
X-RapidAPI-KeySTRING
REQUIRED
AcceptSTRING
OPTIONAL
Content-TypeSTRING
REQUIRED
Required Parameters
subjectIdSTRING
REQUIREDView the docs for the exact format. You can add multiple subjects (distinguished by their subjectId) with multiple attributes (distinguished by their attributeId) and corresponding attribute weights (distinguished by their attributeWeightValue).
Optional Parameters
recommenderIdSTRING
OPTIONALBy default, when you send a requests to our API, the data is stored under the default recommenderId. You can however use different id's that you may wish to use across different projects or sections of your work. This saves you from creating multiple Mashape accounts.
Code Snippet
Install SDK
Response ExampleSchema

Install SDK for (Node.js)Unirest

OAuth2 Authentication
Client ID
Client Secret
OAuth2 Authentication