News
- [2022-06-01]:We released the leaderboard of the 5th SMP Challenge.
- [2022-03-20]:Please check the important dates.
- [2022-03-15]:We will continuously host the 5th 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 10 - March 15, 2022
Dataset available for download
- May 27, 2022
Results submission
- May 27 - May 31, 2022
Objective evaluation and human evaluation
- June 1, 2022
Evaluation leaderboard announce
June 18, 2022June 25, 2022Paper submission date
- July 7, 2022
Acceptance notification
- July 20, 2022
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}}