Recurrent convolutional networks for session-based recommendations

Neurocomputing(2020)

引用 10|浏览29
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摘要
•Recurrent convolutional networks are effective for session-based recommendation.•A unified and flexible network architecture with CNN and RNN is proposed.•Combining CNN with RNN allows capturing important features of session sequences.•The proposed combined model improves recommendation accuracy.
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关键词
Session-based recommendation,Recommender systems,Deep learning,Recurrent neural networks,Recurrent convolutional neural networks,Convolutional neural networks
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