RA
Rodrigo Alves
Recommender Systems Researcher at Recombee
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Work Experience
Recommender Systems Researcher
Feb 2022 - Present · 2 years and 10 months
Czech Technical University in Prague
Assistant Professor (Odborný Asistent)
Feb 2022 - Present · 2 years and 10 months
Technische Universität Kaiserslautern
Researcher (Phd Candidate)
Feb 2018 - Jan 2022 · 3 years and 11 months
Company Details
11-50 Employees
Developed by a team of data scientists, Recombee's SaaS solution helps companies around the globe to deliver the most relevant content and product recommendations for individual customers in real-time. Launched in 2015 by a group of talented people contributing to the current success of our product. Recombee’s CEO Pavel Kordik, is a postdoc with 20 years of experience in Artificial Intelligence and Machine Learning. Tomas Rehorek, the CTO, has profound experience in the area of Recommender Systems. They were joined by Ondrej Fiedler, the current lead developer, Tomas Barton, an infrastructure and operations expert, and a series of extraordinary talents and entrepreneurs whose consulting drives further expansion of the company. Recombee offers an intuitive API (Application Programming Interface) that allows companies to generate recommendations with no discrimination towards domain or sector types providing the ease to monitor your KPIs (such as CTR/CR) more efficiently, and always in Real-time! We can generate up to an astonishing 10,000 recommendations per second in numerous forms and “flavors”; home pages personalizations, related products recommendations, emailing campaigns, stored search criterias, among others. All recommendation models as mentioned before, work in real time and take into consideration the user’s actions; views, purchases or bookmarks. The Recombee engine is fully customizable and is constantly being improved with the use of artificial intelligence (AI). These different scenarios (places where the recommendation is being used) are also independently optimized by the Artificial intelligence. “Currently, we are able to provide recommender as a service to companies with dozens of millions of users and products with the plan to scale up. We work hard to make our service even more useful and profitable not only for large enterprises but also for small and medium-sized companies.” -Pavel Kordik - Recombee CEO Recombee is AI at your service!
Year Founded
2015
Social Media
LinkedinTwitter
Industry
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HQ Location
Rybná 716/24 CZ,Prague,Prague,110 00
Keywords
Recommender SystemsBig DataMachine LearningArtificial Intelligencerecommendation enginereal time recommendationrecommendation as a serviceRaaSSaaSAI engines for recommendation
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