Micro video recommendation in multimodality using dual-perception and gated recurrent graph neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17093-z.pdf
Reference39 articles.
1. Zhu Y, Dong J, Qi X, Deng J (2021) Intention to use governmental micro-video in the pandemic of Covid-19: an empirical study of governmental Tik Tok in China. In: 2021 6th International Conference on Inventive Computation Technologies (ICICT). ICICT, Coimbatore, India, pp 976–979. https://doi.org/10.1109/ICICT50816.2021.9358780
2. Cao D, Miao L, Rong H, Qin Z, Nie L (2020) Hashtag our stories: hashtag recommendation for micro-videos via harnessing multiple modalities. Knowl-Based Syst 203:106114
3. Cai D, Qian S, Fang Q, Xu C (2021) Heterogeneous hierarchical feature aggregation network for personalized micro-video recommendation. IEEE Trans Multimedia 24:805–818
4. Raj J, Hoque A, Saha A (2022) Integrated micro-video recommender based on hadoop and web-scrapper. In: Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021). Springer International Publishing, Cham, pp 128–140. https://doi.org/10.1007/978-3-030-82469-3_12
5. He L, Chen H, Wang D, Jameel S, Yu P, Xu G (2021) Click-through rate prediction with multi-modal hypergraphs. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. ACM, New York, NY. https://doi.org/10.1145/3459637.3482327
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