Please wait a minute...
Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (7): 35-43    DOI: 10.11925/infotech.2096-3467.2017.07.05
Orginal Article Current Issue | Archive | Adv Search |
Review of Information Retrieval Research: Case Study of Conference Papers
Chaofan Yang(),Zhonghua Deng,Xin Peng,Bin Liu
School of Information Management, Wuhan University, Wuhan 430072, China
Download: PDF(1024 KB)   HTML ( 5
Export: BibTeX | EndNote (RIS)      
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.

Key wordsInformation Retrieval      Conference Papers      Research Hotspots      Development Trends     
Received: 22 May 2017      Published: 13 September 2017

Cite this article:

Chaofan Yang,Zhonghua Deng,Xin Peng,Bin Liu. Review of Information Retrieval Research: Case Study of Conference Papers. Data Analysis and Knowledge Discovery, 2017, 1(7): 35-43.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.07.05     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I7/35

[1] 司莉, 庄晓喆, 贾欢. 近10年来国外多语言信息组织与检索研究进展与启示[J]. 中国图书馆学报, 2015, 41(4): 112-126.
[1] (Si Li, Zhuang Xiaozhe, Jia Huan.A Review of Multilingual Information Organization and Retrieval Research Abroad in the Last Ten Years[J]. Journal of the Library Science in China, 2015, 41(4): 112-126.)
[2] 吴丹, 邱瑾. 国外协同信息检索行为研究述评[J]. 中国图书馆学报, 2012, 38(6): 100-110.
[2] (Wu Dan, Qiu Jin.A Review on Foreign Studies of Collaborative Information Seeking Behavior[J]. Journal of the Library Science in China, 2012, 38(6): 100-110.)
[3] 杨海锋. 用户行为在信息检索中的研究现状及发展动态评述[J]. 图书情报知识, 2015(6): 79-88.
[3] (Yang Haifeng.Review on the Research Status and Development Trend of Users Behavior in Information Retrieval[J]. Document, Information & Knowledge, 2015(6): 79-88.)
[4] 窦永香, 苏山佳, 赵捧未. 信息检索研究的发展与动向——对 ACM SIGIR信息检索年会的主题分析[J]. 情报理论与实践, 2010, 33(7): 124-128.
[4] (Dou Yongxiang, Su Shanjia, Zhao Pengwei.Progress and Development Trend in the Study of Information Retrieval[J]. Information Studies: Theory & Application, 2010, 33(7): 124-128.)
[5] 陈少涌, 李广建. 近十年来信息检索研究发展动向——基于SIGIR年会主题及论文集的统计分析[J]. 情报科学, 2015, 33(5): 150-156.
[5] (Chen Shaoyong, Li Guangjian.Research on Information Retrieval over the Last Decade: Analysis of SIGIR Annual Conferences’ Research Topics and Proceedings[J]. Information Science, 2015, 33(5): 150-156.)
[6] Casey M A, Veltkamp R, Goto M, et al.Content-Based Music Information Retrieval: Current Directions and Future Challenges[J]. Proceedings of the IEEE, 2008, 96(4): 668-696.
[7] Kishida K.Technical Issues of Cross-language Information Retrieval: A Review[J]. Information Processing and Management, 2005, 41(3): 433-455.
[8] Enser P.The Evolution of Visual Information Retrieval[J]. Journal of Information Science, 2008, 34(4): 531-546.
[9] Smeaton A F, Keogh G, Gurrin C, et al.Analysis of Papers from Twenty-Five Years of SIGIR Conferences: What Have We been Doing for the Last Quarter of a Century?[J]. ACM SIGIR Forum, 2002, 36(2): 39-43.
[10] Hiemstra D, Hauff C, Jong F.SIGIR’s 30th Anniversary: An Analysis of Trends in IR Research and the Topology of Its Community[J]. ACM SIGIR Forum, 2007, 41(2): 18-24.
[11] Christopher D, Surdeanu M, Bauer J, et al.The Stanford CoreNLP Natural Language Processing Toolkit[C]// Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations.2014.
[12] Park D C, El-Sharkawi M A, Marks R J, et al. Electric Load Forecasting Using an Artificial Neural Network[J]. IEEE Transactions on Power Engineering, 1991, 6(2): 442-449.
[13] Pineda F J.Generalization of Back-Propagation to Recurrent Neural Networks[J]. Physical Review Letters, 1987, 59(19): 2229-2232.
[14] Krizhevsky A, Sutskever, B, Hinton G E. ImageNet Classification with Deep Convolutional Neural Networks[C]// Proceedings of the 2012 Advances in Neural Information Processing Systems.2012.
[15] Yann L, Bengio Y, Hinton G.Deep Learning[J]. Nature, 2015, 521: 436-444.
[16] Guyon I, Elisseeff A.An Introduction to Variable and Feature Selection[J]. Journal of Machine Learning Research, 2003, 3(6): 1157-1182.
[17] Koren Y, Bell R, Volinsky C.Matrix Factorization Techniques for Recommender Systems[J]. IEEE Computer Society, 2009, 42(8): 30-37.
[18] 董士海. 人机交互的进展及面临的挑战[J]. 计算机辅助设计与图形学学报, 2004, 16(1): 1-12.
[18] (Dong Shihai.Progress and Challenge of Human-Computer Interaction[J]. Journal of Computer-Aided Design & Computer Graphics, 2004, 16(1): 1-12.)
[19] Steuer J.Defining Virtual Reality: Dimensions Determining Telepresence[J]. Journal of Communication, 1992, 42(4): 73-93.
[20] Azuma R T.A Survey of Augmented Reality[J]. Teleoperators and Virtual Environments, 1997, 6(4): 355-385.
[21] Davis J, Costa V S, Peissig P, et al.Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events[C]//Proceedings of the 29th International Conference on Machine Learning, Edinburgh, Scotland, UK. 2012.
[22] Wang Y, Wipf D, Ling Q, et al.Multi-Task Learning for Subspace Segmentation[C]//Proceedings of the 32nd International Conference on Machine Learning, Lille, France. 2015.
[23] 任磊. 推荐系统关键技术研究[D]. 上海: 华东师范大学, 2012.
[23] (Ren Lei.Research on Some Key Issues of Recommender Systems [D]. Shanghai: East China Normal University, 2012.)
[24] Grbovic M, Djuric N, Radosavljevic V, et al.Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising[C]//Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval.2016: 375-384.
[25] Cheng Z, Shen J, Hoi S.On Effective Personalized Music Retrieval by Exploring Online User Behaviors[C]// Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2016: 125-134.
[26] Lv Y, Lymberopoulos D, Wu Q.An Exploration of Ranking Heuristics in Mobile Local Search[C]//Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2012: 295-304.
[27] Lagun D, Hsieh C H, Webster D, et al.Towards Better Measurement of Attention and Satisfaction in Mobile Search[C]//Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2014: 113-122.
[28] Williams K, Kiseleva J, Crook A C, et al.Is This Your Final Answer? Evaluating the Effect of Answers on Good Abandonment in Mobile Search[C]//Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval.2016: 889-892.
[29] 孙坦, 周静怡. 近几年来国外信息检索模型研究进展[J]. 图书馆建设, 2008(3): 82-85.
[29] (Sun Tan, Zhou Jingyi.The Review of Information Retrieval Models in Recent Years[J]. Library Development, 2008 (3): 82-85.)
[30] Tsagkias M, Blanco R.Language Intent Models for Inferring User Browsing Behavior[C]//Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval.2012: 335-344.
[31] Chen H, Cooper M, Joshi D, et al.Multi-modal Language Models for Lecture Video Retrieval[C]//Proceedings of the 22nd ACM International Conference on Multimedia.2014: 1081-1084.
[32] Raviv H, Kurland O, Carmel D.Document Retrieval Using Entity-Based Language Models[C]//Proceedings of the 39th International ACM SIGIR Conference on Research & Development in Information Retrieval.2016: 65-74.
[33] Zhao J, Huang J.An Enhanced Context-Sensitive Proximity Model for Probabilistic Information Retrieval[C]// Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval. 2014: 1131-1134.
[34] Goldberg D, Nichols D, Oki B M, et al.Using Collaborative Filtering to Weave an Information Tapestry[J]. Communications of the ACM, 1992, 35(12): 61-70.
[35] Shih T Y, Hou T C, Jiang J D, et al.Dynamically Integrating Item Exposure with Rating Prediction in Collaborative Filtering[C]//Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval.2016: 813-816.
[36] Hayashi K, Maehara T, Toyoda M, et al.Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering[C]// Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2015: 417-426.
[37] Lu W, Chung F.Computational Creativity Based Video Recommendation[C]//Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2016: 793-796.
[38] Mao K, Fan J, Shou L, et al.Song Recommendation for Social Singing Community[C]//Proceedings of the 22nd ACM International Conference on Multimedia. 2014: 127-136.
[39] Lu Y C, Wu C W, Lu C W, et al.An Unsupervised Approach to Anomaly Detection in Music Datasets[C]//Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval.2016: 749-752.
[40] Zhou G, Zeng Z, Huang J, et al.Transfer Learning for Cross-Lingual Sentiment Classification with Weakly Shared Deep Neural Networks[C]//Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval.2016: 245-254.
[41] Yan R, Song Y, Wu H.Learning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System[C]//Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval.2016: 55-64.
[42] Zerr S, Siersdorfer S, Hare J, et al.Privacy-Aware Image Classification and Search[C]//Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval.2012: 35-44.
[43] Dwork C, McSherry F, Nissim K, et al. Calibrating Noise to Sensitivity in Private Data Analysis[C]//Proceedings of the 3rd Theory of Cryptography Conference. 2006: 265-284.
[44] Zhang S, Yang H, Singh L.Anonymizing Query Logs by Differential Privacy[C]//Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2016: 753-756.
[45] Ahmad W U, Wang H.Topic Model Based Privacy Protection in Personalized Web Search[C]//Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2016: 1025-1028.
[46] Schoenherr G P, White R W.Interactions Between Health Searchers and Search Engines[C]//Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2014: 143-152.
[47] Sidana S, Mishra S, Amer-Yahia S, et al.Health Monitoring on Social Media over Time[C]//Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2016: 849-855.
[1] Haixia Sun,Lei Wang,Yingjie Wu,Weina Hua,Junlian Li. Matching Strategies for Institution Names in Literature Database[J]. 数据分析与知识发现, 2018, 2(8): 88-97.
[2] Xiaojuan Zhang, Yi Han. Reviews on Temporal Information Retrieval[J]. 数据分析与知识发现, 2017, 1(1): 3-15.
[3] Mingxuan Huang. Cross Language Information Retrieval Model Based on Matrix-weighted Association Patterns Mining[J]. 数据分析与知识发现, 2017, 1(1): 26-36.
[4] Ding Heng,Lu Wei. Building Standard Literature Knowledge Service System[J]. 现代图书情报技术, 2016, 32(7-8): 120-128.
[5] Heng Ding, Wei Lu. A Study on Correlation-based Cross-Modal Information Retrieval[J]. 现代图书情报技术, 2016, 32(1): 17-23.
[6] Mao Jin, Li Gang, Cao Yujie. Re-rank Retrieval Results Through Subject Indexing[J]. 现代图书情报技术, 2014, 30(7): 48-55.
[7] Qiu Junping, Fang Guoping. The Comparative Analysis of Natural Language Processing Research at Home and Abroad Based on Knowledge Mapping[J]. 现代图书情报技术, 2014, 30(12): 51-61.
[8] Tang Jingxiao,Lv Xueqiang,Liu Chengyang,Li Han. A Hierarchical Framework for User Intention Recognition[J]. 现代图书情报技术, 2014, 30(1): 36-42.
[9] Zhang Mei, Duan Jianyong, Xu Jichao. Person Name Attribute Knowledge Mining and Its Application for Query Classification[J]. 现代图书情报技术, 2013, 29(9): 82-87.
[10] Zhou Shanshan, Bi Qiang, Gao Junfeng. A Method of Information Retrieval Results Visualization Based on Social Network Analysis[J]. 现代图书情报技术, 2013, 29(11): 81-85.
[11] Ma Junhong. A Staged and Integrated Semantic Similarity Algorithm of Text[J]. 现代图书情报技术, 2013, 29(10): 20-26.
[12] Xiao Ming, Li Wenchao, Xia Qiuju. Mapping the Themes of Information Retrieval Based on Prefuse and Hierarchical Clustering[J]. 现代图书情报技术, 2012, 28(4): 35-40.
[13] Qian Li, Zhang Zhixiong, Zou Yimin, Huang Yongwen. Application of Information Visualization Retrieval in Digital Library[J]. 现代图书情报技术, 2012, 28(4): 74-78.
[14] Xiong Jing, Guo Lei, Xu Jianliang. Application of Domain Ontology in Marine Ecology Knowledge Management[J]. 现代图书情报技术, 2012, 28(3): 15-22.
[15] Huang Yongwen, Qian Li. Research on Information Retrieval Service Towards Linked Data[J]. 现代图书情报技术, 2012, (12): 2-8.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn