1 citations · 1 across the 4 of their papers we have counts for
5 papers
Sona Technical Report
Sona Team, Alexandr Udeneev, Aleksei Krasilnikov +32
We introduce Sona, a single-model generative recommender for Yandex Music. In an online A/B test, Sona replaced the entire production cascade, comprising more than 15 candidate gen…
Gryphon-v2: One Model in Place of a Cascade - Generate-and-Rank Recommender with Rollout Distillation
Anna Lipkina, Daria Tikhonovich, Viktor Yanush +6
Industrial recommender systems are commonly deployed as multi-stage cascades with separate candidate generators, pre-rankers, and final rankers. Although effective, these cascades…
Gryphon: A Unified Architecture for Semantic-ID Generation and Item-Level Scoring in Industrial Recommendations
Daria Tikhonovich, Oleg Sorokin, Vladislav Dodonov +2
Generative retrieval (GR) has become a scalable approach to candidate generation: each item is assigned a short hierarchical token sequence called a Semantic ID (SID), and the next…
eSASRec: Enhancing Transformer-based Recommendations in a Modular Fashion
Daria Tikhonovich, Nikita Zelinskiy, Aleksandr V. Petrov +4
Since their introduction, Transformer-based models, such as SASRec and BERT4Rec, have become common baselines for sequential recommendations, surpassing earlier neural and non-neur…
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation
Aleksandr Petrov, Ildar Safilo, Daria Tikhonovich +1
We present a new movie and TV show recommendation dataset collected from the real users of MTS Kion video-on-demand platform. In contrast to other popular movie recommendation data…