Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers
Li Yueyan,Wang Hao(),Deng Sanhong,Wang Wei
School of Information Management, Nanjing University, Nanjing 210023, China Jiangsu Key Laboratory of Data Engineering & Knowledge Service, Nanjing 210023, China
[Objective] This paper summarizes the research development trends of information retrieval, aiming to promote interdisciplinary studies and application of related technologies. [Methods] First, we used LDA model to identify topics of papers accepted by the SIGIR Annual Conference from 2008 to 2019. Second, we removed irrelevant papers based on the similarity between documents and topics, and grouped papers into multiple categories by calculating topic discrimination. Third, we constructed the evolution path of domain topics in time series which showed the increasing, decreasing and stable patterns. Finally, we created the fine-grained evolution path of a single topic through the modular community, which demonstrated the dynamic evolution process of knowledge units within the topics. [Results] The proposed method avoids the interference of irrelevant documents on identifying topics and evolution paths. The multi-topic classification of documents helps reveal the cross-fusion among topics. The current information retrieval research trends include user-centric, continuously optimized models, filtering and recommending, semantic web technology, deep learning methods, as well as medical and health information retrieval. [Limitations] It might be subjective to remove irrelevant documents and categorize documents with multi-topics. [Conclusions] Intelligent information services is becoming a new norm, and users’ needs for information retrieval becomes more prominent.
李跃艳,王昊,邓三鸿,王伟. 近十年信息检索领域的研究热点与演化趋势研究——基于SIGIR会议论文的分析[J]. 数据分析与知识发现, 2021, 5(4): 13-24.
Li Yueyan,Wang Hao,Deng Sanhong,Wang Wei. Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers. Data Analysis and Knowledge Discovery, 2021, 5(4): 13-24.
document sentence summarization summary multi level
22
topic22
情感分析
web sentiment location opinion review mining
23
topic23
音乐检索
music passage sequence detection local similarity
24
topic24
相关性评估
judgment assessment crowdsourcing assessor label distribution
25
topic25
医疗信息搜索
medical match content video keyword domain
Table 1 主题-词项分布
Fig.3 呈上升趋势的主题
Fig.4 呈下降趋势的主题
Fig.5 呈稳定趋势的主题
Fig.6 主题热度谱图
Fig.7 “过滤与推荐”主题群落内部知识结构单元的动态演化
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