Next Meetup

Recommender Systems Meetup - Algorithms and Infrastructure
In order to register for this event, please register on ! ------- Zalando is happy to host the second RecSys Berlin Meetup, organized by bibblio. We invite all professionals working on recommender systems applications in research, e-commerce, content platforms and advertising - and many more - to network and listen to talks and discuss over food and drinks. As we are only two weeks away from the 12th ACM Conference on Recommender Systems (ACM RecSys) 2018 in Vancouver, it would be great to also meet fellow attendees and get to know each other beforehand! Schedule: 18:30 - 19:00 Networking, food and drinks 19:00 - 19:20 Talk by Vishal Kawatra (Co-founder NowDiscover) + Q&A 19:20 - 19:40 Expert talk - TBC + Q+A 19:40 - 20:00 Talk by Marjan Celikik (Sr. Software Engineer at Zalando) - 'Dynamic Outfits - Algorithms and Infrastructure' 20:00 - 21:00 Networking and drinks Please register bring your ID with you.

The Hub @ Zalando

Tamara-Danz-Straße 1 · Berlin

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What we're about

Zalando ( is Europe's leading online fashion platform for men, women and children. The +1,700 members of Zalando's tech team are passionate about the work we do and the technologies we use to get things done, and we love to share our enthusiasm with the rest of the world. Join our Meetup group to receive news about the technical talks, workshops, and other events that we host at our Tech HQ near Alexanderplatz.

Some of the topics and technologies that our team and guest speakers are likely to talk about: Scala, Python, Java, open source, Swift, Android, product/UX, React, Docker, AWS, machine learning, PostgreSQL, APIs, agile development and methodologies, and the cloud. Sure, that's a long list--but Zalando is quite a complex operation! We use all of the above and more to create the best customer experiences for our +17 million users.

Hope to see you at an upcoming meetup. Meantime:

• Visit our tech blog ( for more info on Zalando's tech operations and team

• Visit us on Twitter (, Linkedin (, Facebook ( and GitHub (!

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