SMP Challenge

News

[2022-06-07]:We released the leaderboard of the 6th SMP Challenge.
[2022-03-02]:We will continuously host the 6th SMP Challenge.

Overview

SMP Challenge is an annual challenge that seeks excellent research teams on new ways of forecasting problems and meaningfully improving people’s social lives and business scenarios. The enormous amounts of online content lead to overconsumption, online word-of-mouth helps us to efficiently discover interesting news, emerging topics, the latest stories, or amazing products from the information ocean. Therefore, predicting online popularity became an emerging and significant task for online media, brand marketing, social influencers, or our individuals. We formulated this task as the Social Media Popularity Prediction. It focuses on predicting the impact of online post sharing on social media. It is central to various scenarios, such as online advertising, social recommendation, demand forecasting, etc.

Dataset

Social Media Prediction Dataset (SMPD): a massive-scale, multimodal, and temporal dataset with over 486K social multimedia posts from 70K users and various social media information including anonymized photo-sharing records, user profiles, images, texts, times, or other metadata. SMPD is collected from Flickr's online streams. For keeping temporal properties, we conducted a chronological split for training and testing data (commonly, by date and time).

Dataset	#Post	#User	#Categories	Temporal Range (Months)	Avg. Title Length	#Customize Tags
SMPD	486k	70k	756	16	29	250k

Important Dates

March 5, 2023
Dataset available for download
~~May 30, 2023~~ June 5, 2023 10pm EST(extend 4 days by participant requests)
Results submission
June 1 - June 5, 2023
Objective evaluation and human evaluation
~~July 5, 2023~~ July 8, 2023
Evaluation leaderboard announce
~~June 25, 2023~~ July 1, 2023
Paper submission date
~~July 1, 2023~~ July 5, 2023
Acceptance notification
July 14, 2023
Camera-ready submission

Citation

If you intend to publish results based on the resources from our challenge, please kindly include the following references:

@inproceedings{Wu2019SMP,
  title={SMP Challenge: An Overview of Social Media Prediction Challenge 2019},
  author={Wu, Bo and Cheng, Wen-Huang and Liu, Peiye and Liu, Bei and Zeng, Zhaoyang and Luo, Jiebo},
  booktitle={Proceedings of the 27th ACM International Conference on Multimedia},
  year={2019}
}
@inproceedings{Wu2017DTCN,
    title={Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks},
    author={Wu, Bo and Cheng, Wen-Huang and Zhang, Yongdong and Qiushi, Huang and Jintao, Li and Mei, Tao},
    booktitle={International Joint Conference on Artificial Intelligence (IJCAI)},
    year={2017},
    location = {Melbourne, Australia}}
@inproceedings{Wu2016TemporalPrediction,
    author = {Wu, Bo and Mei, Tao and Cheng, Wen-Huang and Zhang, Yongdong},
    title = {Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition},
    booktitle = {Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI)}
    year = {2016},
    location = {Phoenix, Arizona}}