Less is Less: When are Snippets Insufficient for Human vs Machine Relevance Estimation?-Reference-Cited by-同舟云学术

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Less is Less: When are Snippets Insufficient for Human vs Machine Relevance Estimation?

Published:2022 Issue: Volume: Page:153-162
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Kazai Gabriella,Mitra Bhaskar,Dong Anlei,Craswell Nick,Yang Linjun

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-99739-7_18

Reference29 articles.

1. Lecture Notes in Computer Science;M Bendersky,2008

2. Bolotova, V., Blinov, V., Zheng, Y., Croft, W.B., Scholer, F., Sanderson, M.: Do people and neural nets pay attention to the same words: studying eye-tracking data for non-factoid QA evaluation. In: Proceedings of CIKM, pp. 85–94 (2020). https://doi.org/10.1145/3340531.3412043

3. Clarke, C.L., Agichtein, E., Dumais, S., White, R.W.: The influence of caption features on clickthrough patterns in web search. In: Proceedings of SIGIR, pp. 135–142. ACM (2007)

4. Cutrell, E., Guan, Z.: What are you looking for? an eye-tracking study of information usage in web search. In: Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 407–416 (2007)

5. Lecture Notes in Computer Science;T Demeester,2012

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