Conference
RecSys: Emerging Algorithms and Contemporary Practices
The conference is dedicated to the young and rapidly evolving field of recommendation systems, a discipline whose methods are actively explored in academic research on the one hand and widely applied in industrial projects on the other. Participants will have the opportunity to exchange expertise, gain insights into cutting-edge research and best practices and discuss the potential for integrating novel technologies and methodologies into real-world business scenarios. The event aims to bridge theoretical advancements with practical implementation, fostering collaboration between academic and industry professionals to address contemporary challenges in the domain.
10:00 - 12:30
Tutorials
Gleb Mezentsev / Danil Gusak Scalable Sequential RecSys
13:05 - 13:35
Talk
Sergey Ermilov - Optimization of advertising and monetization mechanisms in the recommendation feed
13:35 - 14:05
Talk
Evgeny Frolov - Adaptive collapse of representations to improve the quality of recommendations
14:05 -14:35
Talk
Ruslan Israfilov - The next step in AI evolution: LLM-based multi-agent systems
15:15 - 15:45
Talk
Marina Ananyeva - Online recommendations instead of batch pipelines
15:45 - 16:15
Talk
Kirill Hrylchenko - Scaling recommendation systems
16:15 - 16:45
Talk
Alexey Vasiliev - Recommendations based on sequences: the impact of data on applicability and prediction several steps ahead
16:45 - 17:40
Roundtable discussion
Future of recommendation systems