2 papers
cs.IR2026
Scaling Graph Neural Networks for Friend Recommendation: Multi-Hash User Embeddings and Temporal Neighbor Sampling
Maksim Utushkin, Andrei Ovsiannikov, Alexander D'yakonov
Friend recommendation is inherently graph-structured: the relevance of a potential connection depends on multi-hop social context rather than user attributes alone. However, deploy…
cs.IR2026
Planning over Matrix-Factorization MDPs for Candidate Generation
Mikhail Trapeznikov, Maksim Utushkin
For a recommender service, we view the customer journey as a chain of item recommendations: a useful item changes the user's state and therefore what should be retrieved next. Stan…