research-article

Feature Construction for Posts and Users Combined with LightGBM for Social Media Popularity Prediction

Authors:

Zhenguo YangAuthors Info & Claims

MM '19: Proceedings of the 27th ACM International Conference on Multimedia

Pages 2672 - 2676

https://doi.org/10.1145/3343031.3356054

Published: 15 October 2019 Publication History

Abstract

In this paper, we propose to address the Social Media Prediction (SMP) Challenge by using regression model with multiple features extracted from various aspects of posts. More specifically, we extract textual features, numeric features, and construct user-related features to this end. For textual features, the rich texts possessed by the posts are integrated to build a corpus, based on which we train a language model to learn the vector representation of semantic information. For numeric features, we construct several new features, including the length and the word numbers of title. For the user-related features, we design a "user id count" based on the number of times each user posted in the entire dataset to show the activity of the user. Finally, the multiple features are feed into LightGBM to predict popularity scores. Extensive experiments conducted on the Social Media Prediction Dataset show the superiority of our method. Our approach achieves the 3rd place in the SMP Challenge.

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Cited By

Chen WHu WChen XYuan WWang YZhang YHan Z(2025)Tri-Modal Transformers With Mixture-of-Modality-Experts for Social Media PredictionIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2024.347410135:2(1897-1909)Online publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1109/TCSVT.2024.3474101
Hu WChen WYuan WWang YCai SZhang YCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Dual-Stream Pre-Training Transformer to Enhance Multimodal Learning for Social Media PredictionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688998(11450-11456)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3688998
Lin YLee ACai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)MMF: Winning Solution to Social Media Popularity Prediction Challenge 2024Proceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688997(11445-11449)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3688997
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Published In

cover image ACM Conferences

MM '19: Proceedings of the 27th ACM International Conference on Multimedia

October 2019

2794 pages

ISBN:9781450368896

DOI:10.1145/3343031

General Chairs:
Laurent Amsaleg
CNRS-IRISA, France
,
Benoit Huet
EURECOM, France
,
Martha Larson
Radboud University and TU Delft (Netherlands)
,
Program Chairs:
Guillaume Gravier
CNRS-IRISA, France
,
Hayley Hung
Delft University of Technology Netherlands
,
Chong-Wah Ngo
City University of Hong Kong Hong Kong
,
Wei Tsang Ooi
National University of Singapore Singapore

Copyright © 2019 ACM.

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Published: 15 October 2019

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MM '19: The 27th ACM International Conference on Multimedia

October 21 - 25, 2019

Nice, France

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MM '19 Paper Acceptance Rate 252 of 936 submissions, 27%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

Chen WHu WChen XYuan WWang YZhang YHan Z(2025)Tri-Modal Transformers With Mixture-of-Modality-Experts for Social Media PredictionIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2024.347410135:2(1897-1909)Online publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1109/TCSVT.2024.3474101
Hu WChen WYuan WWang YCai SZhang YCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Dual-Stream Pre-Training Transformer to Enhance Multimodal Learning for Social Media PredictionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688998(11450-11456)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3688998
Lin YLee ACai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)MMF: Winning Solution to Social Media Popularity Prediction Challenge 2024Proceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688997(11445-11449)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3688997
Wu BLiu PHuang QZeng ZWang JLiu BLuo JCheng WCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)SMP Challenge Summary: Social Media Prediction ChallengeProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688996(11442-11444)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3688996
Jeong DSon HChoi YKim K(2024)Enhancing social media post popularity prediction with visual contentJournal of the Korean Statistical Society10.1007/s42952-024-00270-753:3(844-882)Online publication date: 21-May-2024
https://doi.org/10.1007/s42952-024-00270-7
Shen QHan SHan YChen X(2023)User review analysis of dating apps based on text miningPLOS ONE10.1371/journal.pone.028389618:4(e0283896)Online publication date: 26-Apr-2023
https://doi.org/10.1371/journal.pone.0283896
Chen XChen WHuang CZhang ZDuan LZhang YEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Double-Fine-Tuning Multi-Objective Vision-and-Language Transformer for Social Media Popularity PredictionProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3612845(9462-9466)Online publication date: 26-Oct-2023
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Ji LPark CRao ZChen QEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Neural Image Popularity Assessment with Retrieval-augmented TransformerProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3611918(2427-2436)Online publication date: 26-Oct-2023
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Liu AWang XXu NLiu JSu YZhang QZhang STang YGuo JJin GLi X(2023)SMPC: boosting social media popularity prediction with captionMultimedia Systems10.1007/s00530-022-01030-529:2(577-586)Online publication date: 19-Jan-2023
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Redi MQuenot GMagalhães Jdel Bimbo ASatoh SSebe NAlameda-Pineda XJin QOria VToni L(2022)Overview of the Multimedia Grand Challenges 2022Proceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3552365(7220-7222)Online publication date: 10-Oct-2022
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