@inproceedings{f347407118f047798aecd0aff46e2d73,
title = "A multimodality approach to predicting the popularity of sneakers",
abstract = "We present a computational approach for predicting the popularity score of sneakers through the analysis of growing amount of online data. Sneakers are described in several aspects based on which a popularity prediction model is constructed. In particular, we utilize the multiple kernel learning technique with customized kernels to analyze multimodal data extracted from an online sneaker magazine. The construction of a prediction model from multiple facets is not trivial - the effectiveness of each feature depends on the way we compute and combine it with the others. We examine a few design choices and study how multimodal data should be utilized to achieve practical prediction.",
keywords = "Computational modeling, Feature extraction, Image color analysis, Kernel, Predictive models, Shape, Training",
author = "Yeh, {Mei Chen} and Yang, {Shao Ting}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 ; Conference date: 06-06-2015 Through 08-06-2015",
year = "2015",
month = aug,
day = "20",
doi = "10.1109/ICCE-TW.2015.7216892",
language = "English",
series = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "27--28",
booktitle = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
}