trivago | Multiple Positions | Düsseldorf, Germany | Onsite (3 days per week) | Full Time | Visa Sponsorship
trivago is a well-known travel tech company enabling users to find the right accommodation. We save our users time and empower them to get more out of travel by comparing accommodation from leading booking sites.
At trivago we have talents from over 80 different countries and work on some of the most interesting technical challenges within the accommodation meta-search space.
trivago | Multiple Positions | Düsseldorf, Germany | Onsite (3 days per week) | Full Time | Visa Sponsorship
trivago is a well-known travel tech company enabling users to find the right accommodation. We save our users time and empower them to get more out of travel by comparing accommodation from leading booking sites. At trivago we have talents from over 80 different countries and work on some of the most interesting technical challenges within the accommodation meta-search space.
trivago | Multiple Positions | Düsseldorf, Germany | Onsite (3 days per week) | Full Time | Visa Sponsorship
trivago is a well-know travel tech company enabling users to find the right accommodation. We save our users time and empower them to get more out of travel by comparing accommodation from leading booking sites. At trivago we have talents from over 80 different countries and work on some of the most interesting technical challenges within the accommodation meta-search space.
trivago | Multiple Positions | Düsseldorf, Germany | Onsite (3 days per week) | Full Time | Visa Sponsorship
trivago is a well-know travel tech company enabling users to find the right accommodation. We save our users time and empower them to get more out of travel by comparing accommodation from leading booking sites. At trivago we have talents from over 80 different countries and work on some of the most interesting technical challenges within the accommodation meta-search space.
Also for healthcare. Nuance is a big player in the healthcare market. A whole segment where DL approaches are not suitable due to lack of transparency.
But it isn’t. I am still actively involved in NLG both professionally and academically and neural NLG systems have great promise but are still far from actively delivering tangible solutions to areas such data-to-text NLG. Inaccuracy, hallucinations are still highly problematic.
I very much disagree. There are use case such as weather reporting, electronic medical report summarisation, etc. That make more sense as a textual representation than bundles of graphs and tables. In fact textual summarisation has been shown to lead to better decision making[1].
Good data-to-text NLG applications not only summarise data but they also can provides insight into causal relations of why events occurred by leveraging domain knowledge.
I guess this effects all companies that run a platform whether it be social or market based. The question is what can a company do prevent bad internal actors without put their employees under draconian rules?
Nothing special, just mostly a list of stuff that I've worked on in terms of my research interests.