Information retrieval: a view from the Chinese IR community

doi:10.1007/s11704-020-9159-0

Front. Comput. Sci.

2021, Vol. 15

Issue (1) : 151601 https://doi.org/10.1007/s11704-020-9159-0

REVIEW ARTICLE

Information retrieval: a view from the Chinese IR community

Zhumin CHEN¹, Xueqi CHENG², Shoubin DONG³, Zhicheng DOU⁴, Jiafeng GUO²(

), Xuanjing HUANG⁵, Yanyan LAN²(

), Chenliang LI⁶, Ru LI⁷, Tie-Yan LIU⁸, Yiqun LIU⁹(

), Jun MA¹, Bing QIN¹⁰, Mingwen WANG¹¹, Jirong WEN⁴, Jun XU⁴, Min ZHANG⁹, Peng ZHANG¹², Qi ZHANG⁵

¹. School of Computer Science and Technology, Shandong University, Jinan 250100, China
². Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
³. School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China
⁴. School of Information, Renmin University of China, Beijing 100872, China
⁵. School of Computer Science, Fudan University, Shanghai 200433, China
⁶. School of Cyber Science and Engineering,Wuhan University,Wuhan 430072, China
⁷. School of Big Data, Shanxi University, Taiyuan 200433, China
⁸. Microsoft Research Asia, Beijing 100080, China
⁹. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
¹⁰. School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
¹¹. School of Computer Information and Engineering, Jiangxi Normal University, Nanchang 330022, China
¹². School of Computer Science and Technology, Tianjin University, Tianjin 300072, China

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Abstract

During a two-day strategic workshop in February 2018, 22 information retrieval researchers met to discuss the future challenges and opportunities within the field. The outcome is a list of potential research directions, project ideas, and challenges. This report describes themajor conclusionswe have obtained during the workshop. A key result is that we need to open our mind to embrace a broader IR field by rethink the definition of information, retrieval, user, system, and evaluation of IR. By providing detailed discussions on these topics, this report is expected to inspire our IR researchers in both academia and industry, and help the future growth of the IR research community.

Keywords information retrieval redefinition information scope of retrieval retrieval models users system architecture evaluation

Corresponding Author(s): Jiafeng GUO,Yanyan LAN,Yiqun LIU

Just Accepted Date: 27 December 2019 Issue Date: 24 September 2020

Cite this article:

Zhumin CHEN,Xueqi CHENG,Shoubin DONG, et al. Information retrieval: a view from the Chinese IR community[J]. Front. Comput. Sci., 2021, 15(1): 151601.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-020-9159-0
https://academic.hep.com.cn/fcs/EN/Y2021/V15/I1/151601

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