Recombee

• eal-time recommendations for products or content based on user interactions
• Personalized search with semantic understanding, typo tolerance, filters, and boosting
• Business rules and boosters to prioritize or filter content according to custom logic
• Scenarios to define recommendation contexts such as homepage, related items, or email campaigns
• SDKs and API support for multiple programming languages including JavaScript, Python, Java, Ruby, and .NET
• No-code widgets and an intuitive editor in the Admin UI for easier integration
• Real-time analytics and insights to monitor performance, user behavior, and interaction metrics
• Scalable cloud infrastructure designed to handle high volumes of data and requests
• Flexible catalog and user property definitions supporting diverse content types like products, articles, videos, or real estate
• Free plan with usage limits plus paid tiers based on requests, items, and active users

Recombee is an advanced AI recommendation engine built for businesses that want to offer personalized product or content suggestions at scale. Whether you operate an e-commerce site, a streaming service, a news portal, a real estate marketplace or an app, Recombee enables you to tailor the user experience through real-time interactions, dynamic recommendation logic, and smart content discovery. Its system ingests user interaction data (views, purchases, ratings, bookmarks, etc.), tracks user and item properties, and applies a mix of collaborative filtering, content-based models, and semantic search to deliver relevant suggestions.

Integration is made simple via REST API and SDKs for many languages including Python, JavaScript, Ruby, Java, .NET, PHP, among others. For those without heavy development resources, Recombee offers no-code widgets and an Admin UI for configuring recommendation scenarios, filters, and boosters. You can define business rules to promote or demote certain content, segment your users, and choose between different logic models depending on use-case (for example similar items, popular items, personalized homepages, etc.).

The pricing model is usage-based: there is a free forever plan (within certain limits), and multiple paid plans that scale with the number of interactions, recommendation requests, active users, and catalog size. The free plan allows smaller websites or apps to experiment with the service without cost, though with fewer guarantees around support, uptime, and SLA. For enterprises with high volume, high traffic, or mission-critical use, Recombee provides premium plans with stronger guarantees, faster response times, and dedicated support.

Security, performance, and scalability are built in from the ground up. Recombee maintains a horizontally scalable cloud architecture that handles large volumes of requests in real time. It offers authentication methods (including HMAC), flexible catalog schemas, and the ability to update models or item catalogs dynamically. For businesses seeking to improve user engagement, retention, and conversion metrics, or for those wanting powerful search and recommendation tools, Recombee represents a strong, mature, and