2 papers
cs.IR2026
A Redundancy Reduction Approach for Controllable Sequential Recommendations
Veronika Ivanova, Marina Munkhoeva, Ivan Razvorotnev +1
Sequential recommendation must operate under long-tailed item distributions and popularity-driven concentration, often forcing practitioners to trade short-list accuracy against lo…
cs.IR2025
Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential Patterns
Veronika Ivanova, Evgeny Frolov, Alexey Vasilev
We consider the task of learning from both positive and negative feedback in a sequential recommendation scenario, as both types of feedback are often present in user interactions.…