Augmenting Sequential Recommendation with Balanced Relevance and Diversity

Yizhou Dang, Jiahui Zhang, Yuting Liu +5

By generating new yet effective data, data augmentation has become a promising method to mitigate the data sparsity problem in sequential recommendation. Existing works focus on au…