TY - GEN
T1 - HyFea
T2 - 28th ACM International Conference on Multimedia, MM 2020
AU - Lai, Xin
AU - Zhang, Yihong
AU - Zhang, Wei
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/10/12
Y1 - 2020/10/12
N2 - Social Media Popularity (SMP) prediction focuses on predicting the social impact of a given post from a specific user in social media, which is crucial for online advertising, social recommendation, and demand prediction. In this paper, we present HyFea, our winning solution to the Social Media Prediction (SMP) Challenge for multimedia grand challenge of ACM Multimedia 2020. To address the multi-modality and personality issues of this challenge, HyFea carefully considers multiple feature types and adopts a tree-based ensembling method, i.e., CatBoost, which is shown to perform well in prediction. Specifically, HyFea involves the features related to Image, Category, Space-Time, User Profile, Tag, and Others. We conduct several experiments on the Social Media Prediction Dataset (SMPD), verifying the positive contributions of each type of features.
AB - Social Media Popularity (SMP) prediction focuses on predicting the social impact of a given post from a specific user in social media, which is crucial for online advertising, social recommendation, and demand prediction. In this paper, we present HyFea, our winning solution to the Social Media Prediction (SMP) Challenge for multimedia grand challenge of ACM Multimedia 2020. To address the multi-modality and personality issues of this challenge, HyFea carefully considers multiple feature types and adopts a tree-based ensembling method, i.e., CatBoost, which is shown to perform well in prediction. Specifically, HyFea involves the features related to Image, Category, Space-Time, User Profile, Tag, and Others. We conduct several experiments on the Social Media Prediction Dataset (SMPD), verifying the positive contributions of each type of features.
KW - ensemble learning
KW - feature construction
KW - social media popularity prediction
UR - https://www.scopus.com/pages/publications/85106955233
U2 - 10.1145/3394171.3416273
DO - 10.1145/3394171.3416273
M3 - 会议稿件
AN - SCOPUS:85106955233
T3 - MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia
SP - 4565
EP - 4569
BT - MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia
PB - Association for Computing Machinery, Inc
Y2 - 12 October 2020 through 16 October 2020
ER -