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Algolia Recommend

Flexible hosted recommendation API with programmatic control
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What is Algolia Recommend?

It is a robust & flexible API to build unique product recommendations into any digital ecommerce experience. Developers can use a simple and flexible API to build machine learning powered recommendations on your company’s digital storefronts using as few as 6 lines of code, driving better conversions and increasing average order value. It comes with advanced flexibility so you can completely customize the recommendations displayed on your online stores.
Algolia Recommend is a tool in the Machine Learning as a Service category of a tech stack.

Algolia Recommend Integrations

JavaScript, Python, React, PHP, and Vue.js are some of the popular tools that integrate with Algolia Recommend. Here's a list of all 8 tools that integrate with Algolia Recommend.

Algolia Recommend's Features

  • Filter, merchandise, rank and contextualize recommendations to fit your brand and unique business goals
  • Advanced front-end libraries, API clients, and extensive documentation to help developers build, deploy, and maintain with ease
  • Using Algolia Search + Recommend, leverage the same product catalog, merchandising logic, and analytics across search, navigation and recommendations
  • Full control, insights for everyone on your team

Algolia Recommend Alternatives & Comparisons

What are some alternatives to Algolia Recommend?
Azure Machine Learning
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
Amazon SageMaker
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
Amazon Machine Learning
This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
Algorithms.io
Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables
Amazon Elastic Inference
Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon.
See all alternatives
Related Comparisons
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