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Data Science Use Cases in Lodging & Hospitality
Improving Model-Accuracy for Faster Data Exploration
An international hospitality company with a massive customer and host information, homestays, and lodge records used data science to optimize its search engine to provide better results to customers and hosts.
- Human bias in algorithm choice.
- Time and resources had to be invested in other tasks, leaving limited time to create the ML model.
- Exploration of Data Roboto’s AML and Data Science platforms allowed them to make changes to their algorithm while reducing model error by over 5%.
- In a data-centric industry like this, improving model-accuracy through model tuning bought an improvement in the lift rate and resulted in faster data exploration.