DFW-PP: dynamic feature weighting-based popularity prediction for social media content-Reference-Cited by-同舟云学术

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DFW-PP: dynamic feature weighting-based popularity prediction for social media content

Published:2023-10-05 Issue: Volume: Page:
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Viswanatha Reddy G.,Chaitanya B. S. N. V.,Prathyush P.,Sumanth M.,Mrinalini C.,Dileep Kumar P.,Mukherjee Snehasis

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-023-05672-8.pdf

Reference42 articles.

1. Abousaleh FS, Cheng WH, Yu NH et al (2020) Multimodal deep learning framework for image popularity prediction on social media. IEEE Trans Cogn Dev Syst 13(3):679–692

2. Abousaleh FS, Cheng WH, Yu NH et al (2021) Multimodal deep learning framework for image popularity prediction on social media. IEEE Trans Cogn Dev Syst 13:679–692

3. Almgren K, Lee J, Kim M (2016) Prediction of image popularity over time on social media networks. In: Proceedings of the CT-IETA

4. Aloufi S, Zhu S, El Saddik A (2017) On the prediction of Flickr image popularity by analyzing heterogeneous social sensory data. Sensors 17(3):631

5. Battiato S, Farinella GM, Milotta FL et al (2016) The social picture. In: Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, pp 397–400

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