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HW2 Ivan Vasilev #10
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HW2 Ivan Vasilev #10
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Отличное решение! В решении задействованы практически все механизмы, которые могли улучшить качество рекомендаций. Увеличение датасета, композиция моделей, дополнительный фидбек, бизнес-правила при построении рекомендаций. Учтена специфика работы симулятора =) Можно было бы попробовать в ранкере использовать описательные признаки трека и коллаборативные user-item фичи, но не факт что это дало бы какой-то прирост в метриках. Работа заслуживает полный балл. |
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Описание и остальное изучение тут:
https://github.com/vanyavasilyev/recsys-course-spring-2024/tree/hw2/hw/hw2
Сервис там, где и был