A multimodality approach to predicting the popularity of sneakers

Mei Chen Yeh, Shao Ting Yang

研究成果: 書貢獻/報告類型會議貢獻

摘要

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.

原文英語
主出版物標題2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面27-28
頁數2
ISBN(電子)9781479987443
DOIs
出版狀態已發佈 - 2015 八月 20
事件2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 - Taipei, 臺灣
持續時間: 2015 六月 62015 六月 8

出版系列

名字2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

其他

其他2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
國家臺灣
城市Taipei
期間2015/06/062015/06/08

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Instrumentation
  • Media Technology

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