# RecSys Challenge 2019

DevFeed: [RecSys Challenge 2019](<https://devfeed.tech/articles/recsys-challenge-2019-27970.md>)

Original publisher: [Read original article](<https://tech.trivago.com/post/2019-03-11-recsyschallenge2019/>)

Author: Jens Adamczak Data Scientist

Published: 2019-03-11T00:00:00Z

Content type: news

Language: en

Sources: [Trivago](<https://devfeed.tech/sources/trivago.md>)

Topics: [recommendation systems](<https://devfeed.tech/topics/recommendation-systems.md>), [Data Science](<https://devfeed.tech/topics/data-science.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Algorithms, Complexity](<https://devfeed.tech/topics/algorithms-complexity.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>)

Tags: [algorithm](<https://devfeed.tech/tags/algorithm.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [community](<https://devfeed.tech/tags/community.md>), [data](<https://devfeed.tech/tags/data.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [launch](<https://devfeed.tech/tags/launch.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [recommender-systems](<https://devfeed.tech/tags/recommender-systems.md>)

## AI overview

trivago and research partners launched the RecSys Challenge 2019, inviting participants to use released website interaction data to detect user intent and build a click-prediction model for accommodation recommendations.

## Source excerpt

Our data scientists and engineers love the challenges that their work presents to them on a daily basis and thrive in our agile environment where they can share their knowledge, learn from other...