Dual-path recommendation algorithm based on CNN and attention-enhanced LSTM

Huimin Li, Yongyi Cheng, Hongjie Ni and Dan Zhang

Cyber-Physical Systems, 2024, vol. 10, issue 3, 247-262

Abstract: To recommend useful information to users more efficiently, this paper proposes a dual-path recommendation algorithm which combines multilayer Convolutional Neural Network (CNN) and attention-enhanced long short-term memory network (Attention-LSTM). Firstly, the matrix factorisation technique is used for learning the long-term preferences of users. Secondly, a dual-path network based on CNN and LSTM is constructed to perform feature extraction on the rating matrix. The dual-path network can learn the long-term preferences of users while capturing their dynamic preferences in changing preferences. The algorithm is tested on the public dataset MovieLens-1M, and the MAE value reflects the accuracy of the algorithm.

Date: 2024
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DOI: 10.1080/23335777.2023.2177750

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