Recommendation system for travellers based on tripadvisor.com data
Exploring the unique benefits of using machine learning models based on hidden factors. Recommended system approaches. An overview of popular travel advisory approaches. Performance metrics. Matrix factorization models. K-models of nearest neighbors.
| Рубрика | Менеджмент и трудовые отношения |
| Предмет | Management |
| Вид | дипломная работа |
| Язык | английский |
| Прислал(а) | Denisova Nadezhda |
| Дата добавления | 14.07.2020 |
| Размер файла | 1,2 M |
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