Kunyi Yang

Popularity and Interest Signal Detection for Sequential Recommendation Denoising

Sequential recommender systems aim to learn user preferences through historical interaction sequences. User interactions are driven both by popular trends and personal interests, introducing two types of noise: popular choices triggered by conformist behavior and irrelevant terms that do not reflect…