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Review of Information Retrieval Research: Case Study of Conference Papers |
Yang Chaofan(), Deng Zhonghua, Peng Xin, Liu Bin |
School of Information Management, Wuhan University, Wuhan 430072, China |
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Abstract [Objective] This paper reviews conference papers on information retrieval, aiming to identify the research hotspots and development trends in this field. [Coverage] Papers published by ACL, ACMMM, ICML, KDD, and SIGIR from 2012 to 2016. [Methods] We first collected these papers’ abstracts and keywords to process them with word segmentation package. Then, we analyzed these data with statistic tests. [Results] We found that mobile search was the most popular topic and the information retrieval models had been optimized. Filtering and recommending received more attention from the researchers. Information retrieval studies established close ties with artificial intelligence. User’s privacy protection and health information retrieval were also popular. [Limitations] Only collected the abstracts and keywords. More research is needed to study the full texts and citations. [Conclusions] This paper presents the latest developments of information retrieval research.
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Received: 22 May 2017
Published: 13 September 2017
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