Welcome ACM RecSys Community! For the 2019 challenge from the online travel domain, build a context-aware accommodation recommendation system that utilises live user interactions. The winning teams received prizes up to 8.000 Euros!
The goal of the challenge is to use user signals within a session to detect the intent of the user and to update the recommendation of accommodations provided to the user. Given a dataset of the interactions of the users on our website and metadata for the items they interacted with, the participants are tasked with predicting what items have been clicked in the later part of a session.
More about the challenge → Dataset →| Team | Final Score |
|---|---|
| LogicAI | 0.685711 |
| Layer 6 AI | 0.685497 |
| pvz | 0.684071 |
| RosettaAI | 0.679933 |
| letoh govatri | 0.679299 |
With employees from all over the world, trivago is an international IT company operating on a very large scale. Our goal is to provide the best hotel search possible. This blog is the ideal place to talk about our ideas, our prototypes and our tech stack which make our vision become reality. We love to collaborate and communicate so please be invited to contact us and comment on our posts.
Read more →Tackling hard problems is like going on an adventure. Solving a technical challenge feels like finding a hidden treasure. Want to go treasure hunting with us?
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