ViTOR: Learning to Rank Webpages Based on Visual Features-Reference-Cited by-同舟云学术

ViTOR: Learning to Rank Webpages Based on Visual Features

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
language:
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Author:

van den Akker Bram¹,Markov Ilya²,de Rijke Maarten²

Affiliation:

1. University of Amsterdam Amsterdam, The Netherlands contact@bramvandenakker.nl

2. University of Amsterdam Amsterdam, The Netherlands

Publisher

ACM Press

Reference18 articles.

1. Kevyn Collins-Thompson, Paul Bennett, Fernando Diaz, Charlie Clarke, and Ellen M Voorhees. 2013. TREC 2013 Web Track overview. In TREC. NIST.

2. Kevyn Collins-Thompson, Craig Macdonald, Paul Bennett, Fernando Diaz, and Ellen M Voorhees. 2015. TREC 2014 Web Track overview. In TREC. NIST.

3. Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell. 2014. Decaf: A deep convolutional activation feature for generic visual recognition. In ICML. 647-655.

4. Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, and Xueqi Cheng. 2017. Learning visual features from snapshots for web search. In CIKM. ACM, 247-256.

5. Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep residual learning for image recognition. In CVPR. 770-778.

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