2 papers
cs.IR2026
Fast and Feasible: Permutation-based Constrained Reranking for Revenue Maximization
Svetlana Shirokovskikh, Anastasiia Soboleva, Ekaterina Solodneva +3
Search and recommender systems have produced highly relevant search results. A natural next step in the development of such systems in e-commerce is to rerank these results to incr…
cs.IR2025
RARe: Raising Ad Revenue Framework with Context-Aware Reranking
Ekaterina Solodneva, Alexandra Khirianova, Aleksandr Katrutsa +4
Modern recommender systems excel at optimizing search result relevance for e-commerce platforms. While maintaining this relevance, platforms seek opportunities to maximize revenue…