Practice and Challenges in Building a Business-oriented Search Engine Quality Metric
Author:
Affiliation:
1. Waseda University, Japan, Japan
2. Naver Corp., Seoul, Republic of Korea
3. Waseda University & Naver Corp., Tokyo, Japan
4. Naver Corp., Belmont, CA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3539618.3591841
Reference33 articles.
1. Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval
2. Measuring the Utility of Search Engine Result Pages
3. Leif Azzopardi , Ryen W. White , Paul Thomas , and Nick Craswell . 2020. Data- Driven Evaluation Metrics for Heterogeneous Search Engine Result Pages (CHIIR '20) . Association for Computing Machinery , New York, NY, USA , 213--222. https: //doi.org/10.1145/3343413.3377959 10.1145/3343413.3377959 Leif Azzopardi, Ryen W. White, Paul Thomas, and Nick Craswell. 2020. Data- Driven Evaluation Metrics for Heterogeneous Search Engine Result Pages (CHIIR '20). Association for Computing Machinery, New York, NY, USA, 213--222. https: //doi.org/10.1145/3343413.3377959
4. Evaluating search systems using result page context
5. A taxonomy of web search
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