20150701-20 莫凯翔：Image Feature Learning for Cold Start Problem

2015-6-29 11:17| 发布者: 彭玺ASTAR| 查看: 7267| 评论: 0

摘要: 【15-20期VALSE Webinar活动】报告嘉宾2：莫凯翔（香港科技大学）主持人：王乃岩（香港科技大学）报告题目：Image Feature Learning for Cold Start Problem in Display Advertising报告时间：2015年7月1日晚21:00（ ...

【15-20期VALSE Webinar活动】

报告嘉宾2：莫凯翔（香港科技大学）
主持人：王乃岩（香港科技大学）
报告题目：Image Feature Learning for Cold Start Problem in Display Advertising http://valser.org/webinar/slide/slides/20150701/Valse_Webinar_20150701_MoKaixiang.pptx

报告时间：2015年7月1日晚21:00（北京时间）
文章信息：
[1] Kaixiang Mo, Bo Liu, Lei Xiao, Yong Li, Jie Jiang, Image Feature Learning for Cold Start Problem in Display Advertising, International Joint Conference on Artificial Intelligence (IJCAI 2015), July 25th - July 31st, 2015, Buenos Aires, Argentina.
报告摘要：In online display advertising, state-of-the-art Click Through Rate(CTR) prediction algorithms rely heavily on historical information, and they work poorly on growing number of new ads without any historical information. This is known as the the cold start problem. For image ads, current state-of-the-art systems use handcrafted image features such as multimedia features and SIFT features to capture the attractiveness of ads. However, these handcrafted features are task dependent, inflexible and heuristic. In order to tackle the cold start problem in image display ads, we propose a new feature learning architecture to learn the most discriminative image features directly from raw pixels and user feedback in the target task. The proposed method is flexible and does not depend on human heuristic. Extensive experiments on a real world dataset with 47 billion records show that our feature learning method outperforms existing handcrafted features significantly, and it can extract discriminative and meaningful features.
报告人简介：Kaixiang Mo is currently a PhD student at Department of Computer Science and Engineering in Hong Kong University of Science and Technology, working on data mining and machine learning with Prof. Qiang Yang. He obtained BEng in Computer Science and Engineering from Sun Yat-sen University. His research interests include Transfer Learning, Crowdsourcing, Deep Learning.

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20150701-20 莫凯翔：Image Feature Learning for Cold Start Problem

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