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SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge
May 20, 2024, 4:45 a.m. | Bo Wu, Peiye Liu, Wen-Huang Cheng, Bei Liu, Zhaoyang Zeng, Jia Wang, Qiushi Huang, Jiebo Luo
cs.CV updates on arXiv.org arxiv.org
Abstract: Social Media Popularity Prediction (SMPP) is a crucial task that involves automatically predicting future popularity values of online posts, leveraging vast amounts of multimodal data available on social media platforms. Studying and investigating social media popularity becomes central to various online applications and requires novel methods of comprehensive analysis, multimodal comprehension, and accurate prediction.
SMP Challenge is an annual research activity that has spurred academic exploration in this area. This paper summarizes the challenging task, …
abstract analysis and analysis applications arxiv challenge cs.ai cs.cv cs.mm cs.si data future media multimodal multimodal data overview platforms prediction social social media social media platforms studying type values vast
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