Adversarial Path Sampling for Recommender Systems
IEEE Intelligent Systems(2021)
摘要
Generative adversarial networks (GANs) have achieved a big success in collaborative filtering (CF). However, existing GAN-based methods in CF still suffer from the high-sparsity and cold-start problems; in addition, they also undergo the issues of excessive space complexity or inadequate training. In this article, we propose path2rec a novel adversarial path-based recommendation ...
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关键词
Training,Semantics,Intelligent systems,Complexity theory,Generative adversarial networks,Recommender systems,Gallium nitride
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