Attentive Auto-encoder for Content-Aware Music Recommendation-Reference-Cited by-同舟云学术

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Attentive Auto-encoder for Content-Aware Music Recommendation

Published:2022-01-03 Issue:1 Volume:4 Page:76-87
ISSN:2524-521X
Container-title:CCF Transactions on Pervasive Computing and Interaction
language:en
Short-container-title:CCF Trans. Pervasive Comp. Interact.

Author:

Li Le,Tao Dan^ORCID,Zheng Chenwang,Gao Ruipeng

Funder

National Natural Science Foundation of China

Open Research Fund of the State Key Laboratory of Integrated Services Networks

Beijing NSF

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction

Link

https://link.springer.com/content/pdf/10.1007/s42486-021-00083-1.pdf

Reference31 articles.

1. Bogdanov, D., Haro, M., Fuhrmann, F., Xambo, A., Gomez, E., Herrera, P.: A content-based system for music recommendation and visualization of user preferences working on semantic notions. In: International Workshop on Content-based Multimedia Indexing. IEEE, pp. 249–252 (2011)

2. Chang, S., Abdul, A., Chen, J., Liao, H.: A personalized music recommendation system using convolutional neural networks approach. In: IEEE International Conference on Applied System Invention (ICASI), pp. 47–49 (2018)

3. Chen, L., Wang, J., Huang, Z., Xiao, J.: An approach for neural machine translation with graph attention network. In: Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition, p. 472–478 (2020)

4. Cheng, Y., Liu, N., Lu, Y., Tang, X.: Recurrent knowledge attention network for movie recommendation. In: 2020 3rd International Conference on Electron Device and Mechanical Engineering (ICEDME), pp. 648–651 (2020)

5. Fessahaye, F., Perez, L., Zhan, T., Zhang, R., Fossier, C., Markarian, R., Chiu, C., Zhan, J., Gewali, L., Oh, P.: A novel music recommendation system using deep learning. In: IEEE International Conference on Consumer Electronics (ICCE), pp. 1–6 (2019)

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1. Enhancement in Context-Aware Recommender Systems – A Systematic Review;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

2. Sequential music recommendation based on self-attention mechanism and content characteristics;Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023);2023-10-11

3. Deep feature fusion‐based stacked denoising autoencoder for tag recommendation systems;IET Cyber-Systems and Robotics;2023-08-26

4. HGER: a heterogeneous information-based recommendation with graph enhanced representation for TV program;Multimedia Tools and Applications;2023-07-27

5. A³MR: Attentive Auto-encoder for Acoustic-assisted Music Recommendation;2022 8th International Conference on Big Data Computing and Communications (BigCom);2022-08

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