About recommendation technologies
Information about how recommendations work on the Futurating platform
What are recommendation technologies
Recommendation technologies help users find publications, authors, topics and future areas that may interest them. The algorithms take into account user activity, the topics of materials, publication popularity and the quality of the community’s interaction with content.
What data is used
The following may be considered when forming recommendations:
Взаимодействия
Просмотры, комментарии, оценки, добавление в избранное и другая активность.
Интересы
Темы, авторы, области будущего и горизонты, с которыми пользователь чаще взаимодействует.
Тематика
Рубрики, теги, временные горизонты и смысловая близость материалов.
Популярность
Рейтинги, обсуждаемость, актуальные и накопленные баллы публикаций.
How the feed is formed
The feed can combine chronological order, rating indicators, personal interests and topic diversity. This helps show not only popular materials, but also new postulates and articles that may be important for forming a shared picture of the future.
How to manage recommendations
A user can influence recommendations through their actions on the platform:
- Disable the personalized feed and view publications in chronological order
- Setting preferences by topics and event horizons
- Manage collection of content interaction data
Transparency
The platform aims to make recommendation mechanisms understandable and useful for users. Recommendations are not mandatory to view and serve only for navigating a large number of materials.
Contacts
По вопросам работы рекомендательных технологий можно обратиться в поддержку: support@futurating.ru