Personalised Recommendations w/ Skyscanner

Sep 30, 2021 · Stockholm, Sweden

Looking for places to travel next in these uncertain times? Interested in finding great deals in safe destinations? Skyscanner's personalised recommendations can save your precious decision time! In this talk, Maria Prosviryakova, Senior Machine Learning Engineer at Skyscanner, will share the journey from a simple yet impactful collaborative filtering model to deep learning-powered destinations recommendations. Maria will touch upon the architecture of the real-time recommender system that relies on ML pipelines and MLflow and is orchestrated using Apache Airflow. She will also discuss challenges faced on the road to production, and how the personalised recommendations increased Skyscanner's engagement metrics.

Speaker bio:
Maria Prosviryakova is currently working as a Senior ML Engineer at Skyscanner. Maria holds an MS degree in Statistics and has 7+ years of experience working as a data scientist across different industries and locations: finance in New York, e-commerce in Buenos Aires and the travel industry in Barcelona. She now specialises in recommender systems and ML in production.

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  • Analytics & Data Science by Dataiku Amsterdam

    Bringing data enthusiasts together to foster the exchange of ideas and the intellectual growth of the data community. Our meetups cover a wide range of data-centric topics, from technical workshops to presentations of real use cases. All types of data professionals, scientists, engineers, analysts, and students welcome! Want to collaborate? We partner with companies, schools, and individuals to organize meetups and showcase the work of inspiring data professionals to a broad audience.  Get in touch to con

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