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Found 3 papers, 2 papers with code
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation
Collaborative filtering problems are commonly solved based on matrix completion techniques which recover the missing values of user-item interaction matrices.
K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment
Online hate speech detection has become an important issue due to the growth of online content, but resources in languages other than English are extremely limited.
GLocal-K: Global and Local Kernels for Recommender Systems
Then, the pre-trained auto encoder is fine-tuned with the rating matrix, produced by a convolution-based global kernel, which captures the characteristics of each item.
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