IRAILGNEJun 17, 2018

Self-Attentive Neural Collaborative Filtering

arXiv:1806.06446v22 citationsHas Code
AI Analysis

This is an incremental work that was retracted due to a technical error, so it has no significance.

The paper was withdrawn due to a bug in the TensorFlow implementation that caused accidental mixing of vectors across batches, which invalidated the main claim that self-attention contributed to the performance, though the performance scores remained unchanged.

This paper has been withdrawn as we discovered a bug in our tensorflow implementation that involved accidental mixing of vectors across batches. This lead to different inference results given different batch sizes which is completely strange. The performance scores still remain the same but we concluded that it was not the self-attention that contributed to the performance. We are withdrawing the paper because this renders the main claim of the paper false. Thanks to Guan Xinyu from NUS for discovering this issue in our previously open source code.

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