Russian Federation
The article discusses user content management (UGC) algorithms in the scientific and educational system. A hybrid recommendation system is proposed that combines the analysis of a subject area (research interests, training courses), social interactions and gaming achievements of users to personalize the output of literature and the formation of thematic collections. The architecture of the system, key algorithms for moderation and ranking, as well as a model for integrating gamification metrics into the recommendation process to increase relevance and engagement are presented.
recommendation systems, user content management (UGC), hybrid algorithms, gamification, distributed library system, scientific and educational platform, personalization, tagging, reputation
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