2 papers
cs.IR2025
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
Yunze Luo, Yuezihan Jiang, Yinjie Jiang +5
With the rise of e-commerce and short videos, online recommender systems that can capture users' interests and update new items in real-time play an increasingly important role. In…
cs.IR2025
USM: Unbiased Survey Modeling for Limiting Negative User Experiences in Recommendation Systems
Chenghui Yu, Peiyi Li, Haoze Wu +3
Reducing negative user experiences is essential for the success of recommendation platforms. Exposing users to inappropriate content could not only adversely affect users' psycholo…