Recommender Systems

A recommender system or a recommendation engine as it is sometimes referred to is a specific set of information filtering. The system collects user data and uses that as a deciding factor when seeking to predict the "rating" or "preference" a user would give to an item. They are used mainly in commercial applications such as eCommerce applications, but can also be applied to subscription services, gaming and more.

For more about recommender systems and how they can be applied to your business, feel free to contact us directly for a consultation. Our team will be happy to take you through our feature sets and how we can help improve your current business processes.

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What do we do at Locstat?

Locstat provides a real-time analytical inference platform that fuses and streams data from multiple sources to identify critical events and patterns that impact the continuity of business operations.

We uncover insights and opportunities to empower businesses, industries and humans with real-time data, knowledge and intelligence. We help them navigate the challenges to thrive in our rapidly changing world.

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Explore our other business solutions

Don’t think that our recommender systems is the right option for you? 

 

We’re pretty flexible in helping businesses handle, manipulate and analyse their data, which is why we have several solutions all aimed at providing our core technology to you without having to compromise on performance, cost or security. 

 

Review our alternative solutions available. 

 

  • Big Data Analysis 
  • Customer360 Reviews 
  • Database integrations 
  • Data Modelling 
  • Database Management 
  • Event Processing for IoT 
  • Fraud Detection and Prevention 
  • High Volume Transaction Monitoring
  • Geospatial Analytics and Common Operating Picture Environment 
  • Graphical Dashboards
  • Integration Into Applications Requiring Complex Event Processing Capabilities 
  • Know your Customer (KYC) and Anti-Money Laundering (AML) 
  • Machine Learning 
  • Real-time Streaming Analytics

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