Danil Gusak

According to our database, Danil Gusak authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Autoregressive generation strategies for Top-K sequential recommendations.

Anna Volodkevich, Danil Gusak, Anton Klenitskiy, Anton Pembek, Alexey Vasilev

User Model. User Adapt. Interact., September, 2025

Maximum Impact with Fewer Features: Efficient Feature Selection for Cold-Start Recommenders through Collaborative Importance Weighting.

Nikita Sukhorukov, Danil Gusak, Evgeny Frolov

CoRR, August, 2025

Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders.

Danil Gusak, Anna Volodkevich, Anton Klenitskiy, Alexey Vasilev, Evgeny Frolov

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Recommendation Is a Dish Better Served Warm.

Danil Gusak, Nikita Sukhorukov, Evgeny Frolov

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

2024

Autoregressive Generation Strategies for Top-K Sequential Recommendations.

Anna Volodkevich, Danil Gusak, Anton Klenitskiy, Alexey Vasilev

CoRR, 2024

Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs.

Gleb Mezentsev, Danil Gusak, Ivan V. Oseledets, Evgeny Frolov

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders.

Danil Gusak, Gleb Mezentsev, Ivan V. Oseledets, Evgeny Frolov

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024