When do people use query suggestion? A query suggestion log analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s10791-012-9216-x.pdf
Reference45 articles.
1. Agrawal, R., Gollapudi, S., Halverson, A., & Ieong, S. (2009). Diversifying search results. In Proceedings of the WSDM 2009, pp. 5–14.
2. Amin, A., Hildebrand, M., Ossenbruggen, J., Evers, V., & Hardman, L. (2009). Organizing suggestions in autocompletion interfaces. In Proceedings of the ECIR 2009, pp. 521–529.
3. Anagnostopoulos, A., Becchetti, L., Castillo, C., & Gionis, A. (2010). An optimization framework for query recommendation. In Proceedings of the WSDM 2010, pp. 161–170.
4. Anick, P. (2003). Using terminological feedback for web search refinement: a log-based study. In Proceedings of the SIGIR 2003, pp. 88–95.
5. Baeza-Yatesm, R., Hurtado, C., & Mendoza, M. (2004). Query recommendation using query logs in search engines. In Workshops in current trends in database technology (EDBT 2004), pp. 588–596.
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Query Variability and Experimental Consistency: A Concerning Case Study;Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval;2024-08-02
2. Trapped in the search box: An examination of algorithmic bias in search engine autocomplete predictions;Telematics and Informatics;2023-11
3. Bootstrapping Query Suggestions in Spotify's Instant Search System;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18
4. Searching for politics: Using real-world web search behavior and surveys to see political information searching in context;The Information Society;2022-12-26
5. How to Approach Ambiguous Queries in Conversational Search: A Survey of Techniques, Approaches, Tools, and Challenges;ACM Computing Surveys;2022-12-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3