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What is Enhancing Factorization Machines with Attention about?

The document presents the Attentional Factorization Machine (AFM), an enhancement of Factorization Machines (FMs) that utilizes attention networks to learn the importance of feature interactions for improved predictive performance. AFM addresses the limitation of FMs, which assign equal weights to all feature interactions, by allowing different interactions to contribute variably to predictions based on their relevance. Experimental results demonstrate that AFM outperforms traditional FMs and state-of-the-a

Author

jingyuxuan0426

Language

EN