Grid-based Evaluation Metrics for Web Image Search

Author:

Xie Xiaohui1,Mao Jiaxin1,Liu Yiqun1,de Rijke Maarten2,Shao Yunqiu1,Ye Zixin3,Zhang Min1,Ma Shaoping4

Affiliation:

1. Tsinghua University, China

2. University of Amsterdam, Netherlands

3. Beihang University, China

4. Tsinghua Unviersity, China

Publisher

ACM Press

Reference39 articles.

1. Azzah Al-Maskari, Mark Sanderson, and Paul Clough. 2007. The relationship between IR effectiveness measures and user satisfaction. In 30th annual international ACM SIGIR conference on Research and development in information retrieval. ACM, 773-774.

2. Paul Andre´, Edward Cutrell, Desney S Tan, and Greg Smith. 2009. Designing novel image search interfaces by understanding unique characteristics and usage. In IFIP Conference on Human-Computer Interaction. Springer, 340-353.

3. Leif Azzopardi, Paul Thomas, and Nick Craswell. 2018. Measuring the utility of search engine result pages: an information foraging based measure. In 41st International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 605-614.

4. Alexey Borisov, Ilya Markov, Maarten de Rijke, and Pavel Serdyukov. 2016. A neural click model for web search. In WWW 2016: 25th International World Wide Web Conference. ACM, 531-541.

5. Olivier Chapelle, Donald Metzler, Ya Zhang, and Pierre Grinspan. 2009. Expected reciprocal rank for graded relevance. In 18th ACM conference on Information and knowledge management. ACM, 621-630.

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