Information retrieval: a view from the Chinese IR community
Zhumin CHEN , Xueqi CHENG , Shoubin DONG , Zhicheng DOU , Jiafeng GUO , Xuanjing HUANG , Yanyan LAN , Chenliang LI , Ru LI , Tie-Yan LIU , Yiqun LIU , Jun MA , Bing QIN , Mingwen WANG , Jirong WEN , Jun XU , Min ZHANG , Peng ZHANG , Qi ZHANG
Front. Comput. Sci. ›› 2021, Vol. 15 ›› Issue (1) : 151601
Information retrieval: a view from the Chinese IR community
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.
information retrieval / redefinition / information / scope of retrieval / retrieval models / users / system architecture / evaluation
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Higher Education Press
Supplementary files
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