Microsoft Azure Recommendations is described as 'Learn from previous transactions to predict which items are more likely to be of interest to or purchased by your customers. Built using Azure Machine Learning, the Recommendations engine uses customer data—either past customer activity you’ve uploaded or data collected directly' and is an website. There are seven alternatives to Microsoft Azure Recommendations, not only websites but also apps for a variety of platforms, including SaaS, Amazon Web Services, Python and Mac apps. The best Microsoft Azure Recommendations alternative is Metarank, which is both free and Open Source. Other great sites and apps similar to Microsoft Azure Recommendations are Amazon Personalize, Recombee, RecoMind and Shaped.
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine.
Amazon Personalize enables you to improve customer engagement and conversion by powering real-time personalized product and content recommendations, and targeted marketing promotions.
Recombee is a Recommender system as a service that uses data mining, flexible query language, and variety of machine learning algorithms (including collaborative filtering and content-based recommendation) through intuitive, real-time RESTful API.
Shaped.ai is a developer-oriented platform for implementing search, ranking and recommendation functionality based on machine-learning models. It connects to existing data sources such as databases, data warehouses and event streams and uses them to generate relevance scores...
Google Recommender API is a service on Google Cloud that provides usage recommendations for Google Cloud resources.
AI recommender system and sales enablement software for B2B sales teams and web shops (e.g. wholesalers, manufacturers and distributors).
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