Algolia Recommend vs Inferrd
Overview
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Detailed Comparison
It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line. | 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. |
Machine Learning practioners don't need to wait for engineering to deploy their models anymore; No need to invest in expensive infrastructure and tooling. Inferrd starts at $14, batteries included;
Built with security in mind. Your models are protected using state-of-the-art encryption at rest. | 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 |
Statistics | |
Stacks 2 | Stacks 2 |
Followers 11 | Followers 5 |
Votes 10 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
What are some alternatives to Inferrd, Algolia Recommend?
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