ConQueR: Contextualized Query Reduction using Search Logs
Author:
Affiliation:
1. Sungkyunkwan University, Suwon-si, Republic of Korea
2. NAVER Corp., Seongnam-si, Republic of Korea
Funder
Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3539618.3591966
Reference34 articles.
1. Yuki Amemiya Tomohiro Manabe Sumio Fujita and Tetsuya Sakai. 2021. How Do Users Revise Zero-Hit Product Search Queries?. In ECIR. 185--192. Yuki Amemiya Tomohiro Manabe Sumio Fujita and Tetsuya Sakai. 2021. How Do Users Revise Zero-Hit Product Search Queries?. In ECIR. 185--192.
2. Peter G. Anick. 2003. Using terminological feedback for web search refinement: a log-based study. In SIGIR. 88--95. Peter G. Anick. 2003. Using terminological feedback for web search refinement: a log-based study. In SIGIR. 88--95.
3. Query expansion techniques for information retrieval: A survey
4. Michael Bendersky and W. Bruce Croft. 2008. Discovering Key Concepts in Verbose Queries. In SIGIR. 491--498. Michael Bendersky and W. Bruce Croft. 2008. Discovering Key Concepts in Verbose Queries. In SIGIR. 491--498.
5. Michael Bendersky Donald Metzler and W. Bruce Croft. 2011. Parameterized Concept Weighting in Verbose Queries. In SIGIR. 605--614. Michael Bendersky Donald Metzler and W. Bruce Croft. 2011. Parameterized Concept Weighting in Verbose Queries. In SIGIR. 605--614.
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