Attribute Graph Neural Networks for Strict Cold Start Recommendation
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DOI: 10.1109/tkde.2020.3038234
Abstract: Rating prediction is a classic problem underlying recommender systems. It is traditionally tackled with matrix factorization. Recently, deep learning based methods, especially graph neural networks, have made impressive progress on this problem. Despite their effectiveness,… read more here.
Keywords: strict cold; neural networks; cold start; user item ... See more keywords