RaFM: Rank-Aware Factorization Machines

18 May 2019Xiaoshuang ChenYin ZhengJiaxing WangWenye MaJunzhou Huang

Factorization machines (FM) are a popular model class to learn pairwise interactions by a low-rank approximation. Different from existing FM-based approaches which use a fixed rank for all features, this paper proposes a Rank-Aware FM (RaFM) model which adopts pairwise interactions from embeddings with different ranks... (read more)

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