Aleksandr Katrutsa

UCB-Based Feature Engineering for Cold-Start in Recommenders

Industrial ranking systems often rely on sorting by predicted Click-Through Rate (CTR). However, current CTR models heavily depend on features derived from user behavioral signals and struggle to accurately rank cold items in the case of insufficient user behavioral data. To address this challenge, we introduce UCB-FE,...