@algolia/recommend

Algolia Recommend

The perfect starting point to integrate Algolia Recommend within your JavaScript project

Documentation • UI library • Community Forum • Stack Overflow • Report a bug • Support

✨ Features

• Thin & minimal low-level HTTP client to interact with Algolia's Recommend API
• Works both on the browser and node.js
• UMD compatible, you can use it with any module loader
• Built with TypeScript

💡 Getting Started

First, install Algolia Recommend API Client via the npm package manager:

npm install @algolia/recommend

Then, let's retrieve recommendations:

const algoliarecommend = require('@algolia/recommend');

const client = algoliarecommend('YourApplicationID', 'YourAdminAPIKey');

client
  .getFrequentlyBoughtTogether([
    {
      indexName: 'your_index_name',
      objectID: 'your_object_id',
    },
  ])
  .then(({ results }) => {
    console.log(results);
  })
  .catch(err => {
    console.log(err);
  });

client
  .getRelatedProducts([
    {
      indexName: 'your_index_name',
      objectID: 'your_object_id',
    },
  ])
  .then(({ results }) => {
    console.log(results);
  })
  .catch(err => {
    console.log(err);
  });

For full documentation, visit the online documentation.

📄 License

Algolia Recommend API Client is an open-sourced software licensed under the MIT license.

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recombee-api-client

Recombee API Client is a library for integrating Recombee's recommendation engine into your application. It offers similar functionalities such as personalized recommendations, related items, and frequently bought together features. Compared to @algolia/recommend, Recombee provides a more extensive set of recommendation algorithms and customization options.

predictionio

PredictionIO is an open-source machine learning server for building and deploying predictive engines. It allows you to create custom recommendation systems, including personalized recommendations and related items. While it offers more flexibility and customization compared to @algolia/recommend, it requires more setup and maintenance.