用户名: 密码: 验证码:
网络图像检索的用户信息行为研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
用户信息行为研究历来是情报学领域中的一个重要研究分支,对信息的属性、传递方式、价值以及信息科学的功能、结构体系、工具系统的研究,均离不开用户信息行为特性研究这个中心。图像检索作为视觉信息资源服务的主流方式,其相关的技术发展、资源组织、界面设计等必然应该面向图像信息用户,发展有针对性的为用户设计和服务的方法技术。深入开展针对图像检索的用户信息需求、行为策略模式、心理机制研究,有助于有效克服图像信息服务系统重经济、技术效率而轻用户效率的做法,提高图像信息检索系统的服务质量和利用效果;系统研究图像检索的用户信息行为的特征和规律,可以为用户信息行为理论注入新的血液,为多媒体信息资源管理提供来自用户的依据。
     本文基于“信息需求—信息查寻”相互交融的基本理论观点,选择图像信息检索行为问题,从网络图像检索需求和检索行为过程两大方面展开,初步实证分析和研究了图像检索中用户图像信息检索需求的特点与规律、图像检索的行为习惯与倾向、图像检索过程中的行为策略与模式等一系列相关问题。
     本文的理论基础是用户信息行为研究领域所积淀的相关理论和方法,包括:“以用户为中心”的研究范式、威尔逊的用户信息行为模型、用户信息需求的表达理论、信息查寻过程标准和动态模型、一般信息检索策略等。
     具体而言,本文开展了四个针对性的研究工作:
     第一,图像信息检索行为研究的基本框架。文献调研了国内外在图像检索的用户信息行为研究方面的主要成果,较全面地勾勒出图像信息检索行为研究的“倒会字塔”框架,揭示了该领域的研究进展、研究特点、研究内容、主题分布和研究思路等,研究结果可以为国内相关研究提供直接的指导。
     第二,网络图像检索需求与行为习惯的调研。从日常活动的角度,采用结构化问卷调研了代表性网络用户群体(在校大学生)在网络图像检索方面的日常信息需求和行为习惯和检索经验,获得了关于大学生在网络图像信息需求的内容、网络信息需求的层次、行为习惯和行为能力方面的一些结论。
     第三,网络图像检索的用户行为策略。设计用户实验,在真实的互联网络环境下,借助行为观察技术采集用户的图像检索过程,采用内容分析法综合定性和定量数据来分析用户的图像检索行为,从不同角度刻画用户日常图像检索的行为策略。分析的角度有:网络图像检索入口的选择与变换、图像检索中的翻页行为,相关性结果判断,常见的行为模式等;研究观察并剖析了图像检索过程中网络图像检索的典型用户心理、图像检索的各种行为策略以及若干高频行为模式。
     第四,图像检索需求的表达与调整。研究围绕三个问题:用户图像检索提问式的构造,图像检索提问式的语言分布特征,检索提问式在过程中的动态调整,得到了关于图像检索提问式构造依据、目的和途径,提问式的长度、检索语法运用、提问式调整序列模式等一些行为规律;研究观察到了图像检索需求的一些表达习惯,考察了网络图像检索过程的演进性,归纳了图像检索提问式调整的若干行为策略与模式。
     本文的技术路线沿着文献调研、用户问卷调查和用户实验而逐步开展理论学习和实证研究,是在总结前人成果和失败的经验基础上,为网络图像检索的用户信息行为研究而确立的,在理论和方法两方面既有继承性又有创新性。
     文章最后从人机交互设计、图像资源组织和图像语义检索三个方面对当前网络图像检索服务提出了一些应用建议。
User behavior has been one of primary research branches in the field of information science, which is concerned with varied studies such as information property, information transmission mode, values as well as function, structure and tool systems of information science. Image retrieval is the mainstream way for the future visual information services. Thus the related technological development, resources organization and interface design should be faced with visual information users and develop targeting methods and technologies for design and services for users. To promote the study on information needs, searching and browsing strategies and models, psychological mechanism with regard to visual retrieval will contribute to effectively get over the practices which focus on much more economic&technological efficiency than users efficiency in visual information systems, which is helpful to improve the service quality and utilization effects of image retrieval systems. The systematic study on user behavior characters and laws will input fresh blood into user behavior theory and provide more bases from the user's view for multimedia information management.
     Based on the fundamental views of mingled information needs-information searching theory, the dissertation is closely centered on user information requirement and information retrieval process in image retrieval, preliminarily analyses and studies series issues as the characters and laws of image retrieval requirement, behavior and tendency of image retrieval, strategy and mode in image retrieval process.
     The theoretical foundation of this dissertation is mainly on the accumulated theories and methodologies in user behavior research field including user-centered research paradigm, Wilson's information-seeking behavior model, expression of user information needs, theoretical models of information seeking process, theoretical characterizations of information seeking strategies, and so on.
     Specifically, there are four items of work in that regards:
     The first part is about the framework of user behavior study for image retrieval. The article investigates key results and ideas in the study at home and abroad, outlines the "inverse pyramid" framework for image retrieval behavior studies, and reveals the study development, characteristics, contents, topic distributions and research ideas in this field, all these results can be direct instructions for related domestic studies.
     The second part is the investigation on image retrieval request and behavior customs. In perspective of daily activities, by way of structural questionnaire, the article surveys the requirements, customs and retrieval experiences in image retrieval activities by representative Internet user groups (in-campus college students), acquires some results in retrieval requirement contents, requirement level, behavior customs and behavior ability by the college students.
     The third part is about user behavior strategy. User experiment is designed in which user's image retrieval process was recorded by way of behavior investigation technology, comprehensively quantified and qualified data to analyze the user retrieval behavior, and described the behavior strategy of users in daily image retrieval activities in various perspectives. The various perspectives are covering selection and change of retrieval entrance; page flip activity in retrieval, relevance judgment, and common behavior modes and so on. The article studied users' outstanding psychological factors, behavior characteristics and tactics such as high-frequency behavior modes, which users employ when seeking images on the Web.
     The forth part is around the description and adjustment of image request which is centered on three issues:structure of image query for image retrieval, linguistic distribution characters of image query, dynamic reformulation of image query in process, and obtains series of behavior regular patterns in issues as image query structure basis, targets and channels; length of the query, utilization of retrieval grammars, query reformulation sequence mode. The article observes the expression way of image information needs, discusses the evolution of image searching state, and sums up some query reformulation strategies and modes.
     The technological route for this dissertation is along the study on documents, user questionnaire investigation and users experiment to progressively carry out theoretical and practical studies. The study is based on achievements and failures from predecessors and is established for research on image retrieval user behavior, which is inheriting as well as creative in both theories and practices.
     At the end of the article, some application suggestions in the current image retrieval services are put forward from three aspects, i.e., user interfaces, image information resources organization and image semantic retrieval.
引文
① Google大全之搜索服务[EB/OL]. [2010-2-25]. http://www.google.cn/intl/zh-CN/options/.
    ② 中国互联网络信息资源的第五次数量调查[EB/OL]. [2009-3-20]. http://www.cnnic.com/.
    ③ 百度日本:81%的搜索是在检索图片[2010-2-8]. http://exiaohai.com/wangye/216.html.
    ① Pu X T. An analysis of web image queries for search[C]. ASIS2003, Long Beach, California, U.S.A.,2003: 340-348.
    ② 胡昌平.信息服务与用户研究(修订版)[M].北京:科学技术文献出版社.2005.
    ① Rorvig, M, et al. (1988). The NASA image collection visual thesaurus. Proceedings of the ASIS 17th Mid-Year Meeting, Ann Arbor, MI.
    ② Enser P, McGregor C. Analysis of visual information retrieval queries[J]. British Library Research and Development Report,1993,6104.
    ③ Reiser L. User types and queries:Impact on image access systems[C]. Proceedings of the ASIS 57th Annual Meeting,1994,31:7-22.
    ④ Hasting S K. An exploratory study of intellectual access to digitized art images[C]. Proceeding of the 16th National Online Meeting,1995a:177-185.
    ⑤ Hasting S K. Query categories in a study of intellectual access to digitized art images[C]. Proceedings of the ASIS 58th Annual Meeting, Chicago,1995b, (32):3-8.
    ⑥ Chen H. An analysis of image queries in the field of art history[J]. Information Processing and Management, 2001,37,701-720.
    ⑦ Turner J M. (1995). Comparing user-assigned terms with indexer-assigned terms for storage and retrieval of moving images:Research results[C]. Proceedings of the 58th ASIS Annual Meeting,32,9-12.
    ⑧ Jorgensen C. (1996). Indexing images:Testing an image description template[C]. Proceedings of the 59th ASIS Annual Meeting,33,209-213.
    ⑨ Omager S. (1996). The newspaper image database:Empirical supported analysis of users' typology and word association clusters[C]. Proceedings of the 18th annual international ACM SIGIR conference on research and development in information retrieval,212-218.
    ⑩ Omager S. (1997). Image retrieval:Theoretical analysis and empirical user studies on accessing information in images[C]. Proceedings of the 60th ASIS Annual Meeting,34,202-211.
    11 Markkula M, Sormunen E. (2000). End-user searching challenges indexing practices in the digital newspaper photo archive[J]. Information Retrieval, 1(4):259-285.
    ① Goodrum A, Spink A. Image searching on the Excite web search engine[J]. Information Processing and Management,2001,37(2):295-311.
    ② Yoon J, Chung E. Image query reformulation over different search stages[C].2009 ASIS&T Annual Meeting, poster.
    ③ Cunningham S J, Bainbridge D, Masoodian M. How people describe their image information needs:a grounded theory analysis of visual arts queries[C]. Proceeding s of the 2004 Joint ACM/IEEE Conference on Digital Libraries(JCDL'O4),2004:47-66.
    ④ Cunningham S J, Masoodian M. Looking for a Picture:An Analysis of Everyday Image Information Searching. JCDL'06, Chapel Hill, North Carolina.2006:198-199.
    ⑤ Choi Y, Rasmussen E M. Searching for Images:The Analysis of User's Queries for Image Retrieval in American History. Journal of The American Society for Information Science and Technology,2003,54(6): 498-511.
    ① Jorgensen C, Jorgensen P. Image querying by image professionals[J]. Journal of the American Society for Information Science and Technology,2005,56(12):1346-1359.
    ② Westman S, Oittinen P. Image Retrieval by End-Users and Intermediaries in a Journalistic Work Context[J]. Information Interaction in Context. Copyright 2006 ACM.
    ③ Chen H, Kochtanek T, Burns C S. An analysis of users' image queries of a photojournalism image database:a web analytics approach[C].2009 ASI&TAnnual Meeting,2009, British Columbia, Canada. [2009-9-12]. http://www.asis.org/Conferences/AM09/open-proceedings/posters/
    ④ Goodrum A A, Bejune M M, Siochi A C. A state transition analysis of image search pattern on the Web[C]. CIVR 2003. LNCS,2728:281-290.
    ⑤ Fokumoto T. An analysis of image retrieval behavior for metadata type image database[J]. Information Processing and Management,2006,42:723-728.
    ⑥ Yoon J, Chung E. Image query reformulation over different search stages[C].2009 ASIS&T Annual Meeting, poster. [2009-9-12]. http://www.asis.org/Conferences/AM09/open-proceedings/posters/
    ⑦ Yoon J. Towards a user-oriented thesaurus for non-domain-specific image collections[J]. Information Processing and Management,2009,45:452-468.
    ⑧ Pu X T. An analysis of web image queries for search[C]. ASIS2003, Long Beach, California,2003:340-348.
    ⑨ Pu X T. A study on query analytic model for image retrieval[C]. LNCS,2005,3334:378-387.
    ① 沈福地.以检索记录分析网路图像检榆索需求之研究[D].台北:台湾世新大学,2004.
    ② 陈慧珍.网路图像使用者相关判断之研究[D].台北:台湾师范大学,2003.
    ③ 赖茂生,屈鹏.用户搜索行为研究代表性工作与展望[M].//王忠军,主编.情报学进展:第7卷(2006-2007年度评论).北京:国防工业出版社,2008:118-151.
    ④ 赖茂生等.网络用户搜索的语言使用行为研究——实验设计与搜索价值[J].情报理论与实践,2009,32(2):95-98.
    ⑤ 赖茂生,屈鹏.网络用户信息获取语言使用行为研究[J].现代图书情报技术,2008(6):16-23.
    ⑥ 赖茂生,屈鹏.网络用户的查询与点击行为研究[J].情报理论与实践,2009,32(3):85-88.
    ⑦ 赖茂生,屈鹏.网络用户的搜索入口与跳转行为研究[J].情报理论与实践,2009,32(4):100-103.
    ① 朱学芳.计算机图像信息资源管理[J].现代图书情报技术,2004,118(12):21-24.
    ② 朱学芳.图像信息及其处理技术的内容和特点分析[J].中国图书馆学报,2004,(1).
    ③ 王磊,朱学芳.图像检索中的元数据分析[J].情报科学,2005,23(9):1414-1417.
    ④ 朱学芳,袁顺波,徐强.我国数字图像信息资源应用现状及分析[J].中国图书馆学报,2008,34(1).
    ⑤ 朱学芳,穆向阳.我国数字图像信息资源发展对策研究[J].情报科学,2010,28(1):29-34.
    ⑥ 曹梅,朱学芳.网络环境下的图像信息资源共享模式研究[J].情报科学,2009,(5).
    ⑦ 甘利人.关于我们的研究——信息用户认知行为探索[R].2009年用户信息行为研究研社会,2009年,北京大学.(会议报告PPT)
    ⑧ 邓小昭.因特网用户信息需求与满足研究[D].武汉:武汉大学,2002:7
    ① 邓小昭.因特网用户信息需求与满足研究[D].武汉:武汉大学,2002:43-44.
    ② 邓小昭.因特网用户信息需求与满足研究[D].武汉:武汉大学,2002:43-44.
    ③ 胡昌平.信息服务与用户研究(修订版)[M].北京:科学技术文献出版社.2005.
    ④ 国家图书馆举办的“网络环境下的读者服务工作”培训班课程讲义[EB/OL].[2009-6-21].http://blog.sina.com.cn/s/blog_4d21459d0100er15.html
    ① Wilson T D.On User Studies and Information Needs.Journal of Documention,1981,(1).
    ① 曹梅,朱学芳.用户信息行为研究的方法体系初探[J].情报理论与实践,2010,(1).
    ② 甘利人,白晨.检索决策中的信息用户行为调整初探[J].数字图书馆论坛,2009,64(9):45-52.
    ① 转引自:柯青,王秀峰,孙建军.以用户为中心的研究范式——理论起源[J].情报资工作,2008,(4):51-55.
    ② 转引自:苏瑞竹.论情报学的认知观点[J].情报科学.2000,(6):511-514.
    ③ 柯青,王秀峰,孙建军.以用户为中心的研究范式——理论起源[J].情报资料工作,2008,(4):51-55.
    ① 师宏睿.贝尔金与德尔文情报认知观评述[J].图书与情报,2003,(5):12-14.
    ② 柯青,王秀峰,孙建军.以用户为中心的研究范式——理论起源[J].情报资料工作,2008,(4):51-55.
    ③ 转引自:朱婕.国外信息行为模型分析与评价[J].图书情报工作,2005,49(4):48-51.
    ① 徐娇杨.论用户信息需求的表达[J].图书馆论坛,2009,29(1):36-38.
    ② 韩丽风.试论数字图书馆的信息参考服务[J].中国图书馆学报,2005,(1):61-64.
    ① 白光祖,吕俊生.基于信息需求层次理论的PIE可满足性分析[J].情报杂志,2009,28(4):48-51.
    ② 葛园园.用户信息需求层次的时序结构分析[J].情报探索,2006,108(10):5-6.
    ③ Broder A.A taxonomy of web search[J].SIGIR Fprum,2002,36(2):3-10.
    ① Berrypicking Model採莓模式[EB/OL].[2009-8-24].http://morris.lis.ntu.edu.tw/wi kimedia/index.php/Berrypicking_Model.
    ① Bates M J. Information search tactics[J]. Journal of the American Society for Information Science,1979,30(4): 205-214.
    ① O'Day V L, Jeffries R. Orienteering in an information landscape:how information seekers get from here to there[C]. In Proceedings of the INTERCHI Conference on Human Factors in Computing Systems (CHI'93), Amsterdam, April 1993. IOS Press.
    ② Hertzum M, Frokjaer E. Browsing and querying in online documentation:A study of user interfaces and the interaction process. ACM Transactions on Computer-Human Interaction (ToCHI),3(2):136-161,1996.
    ③ Pirolli P. Information Foraging Theory[M]. Oxford University Press,2007.
    ① Teevan J, Alvarado C, Ackerman M S, and Karger D R. The perfect search engine is not enough:a study of orienteering behavior in directed search[C]. Proceedings of the 27th Annual International ACM SIGIR Conference on Research and development in information retrieval (SIGIR'04), pages 415-422,2004.
    ② Hertzum M, Frokjaer E. Browsing and querying in online documentation:A study of user interfaces and the interaction process[J]. ACM Transactions on Computer-Human Interaction (ToCHI),3(2):136-161,1996.
    ③ Russell D M. How do Google searchers behave? Improving search by divining intent[EB/OL]. [2008-3-16]. http://hci.stanford.edu/cs547/abstracts/05-06/060310-russell.html.
    ① Wilson T D. On User Studies and Information Needs. Journal of Documentation,1981, (1).
    ① Jorgensen C. Attributes of images in describing tasks[J]. Information Processing and Management,1998, 34(2/3):161-174.
    ① Cunningham S J, Bainbridge D, Masoodian M. How people describe their image information needs:a grounded theory analysis of visual arts queries[C]. Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries(JCDL'04),2004:47-66.
    ② Cunningham S J, Masoodian. Looking for a picture:an analysis of everyday image information searching. JCDL'06, Chapel Hill, North Carolina.2006:198-199.
    ① Cunningham S J, Bainbridge D, Masoodian M. How people describe their image information needs:A grounded theory analysis of visual arts queries. Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries(JCDL'04),2004:47-66.
    ② Library of Congress. On the record:Report of The Library of Congress Working Group on the future of bibliographic control[R],2008. [2009-3-8]. http://www.loc.gov/bibliographic-future/news/lcwgontherecord-jan08-final.pdf
    ① 李建生.图像元数据特征提取及其在检索中的应用[D].南京:南京师范大学,2006:29-30.
    ① 曹梅,朱学芳.图像检索需求描述的研究进展[J].现代图书情报技术,2009,(12).
    ② 转引自Choi Y, Rasmussen E M. Searching for Images:The Analysis of User's Queries for Image Retrieval in American History. Journal of The American Society for Information Science and Technology,2003,54(6): 498-511.
    ③ Shatford S L. Analyzing the Subject of a Picture:A Theoretical Approach[J]. Cataloging & Classification Quarterly 6:3 (1986):39-61.
    ① Choi Y, Rasmussen E M. Searching for Images:The Analysis of User's Queries for Image Retrieval in American History. Journal of The American Society for Information Science and Technology,2003,54(6): 498-511.
    ② Yoon J. Towards a user-oriented thesaurus for non-domain-specific image collections[J]. Information Processing and Management,2009,45:452-468.
    ③ Jaims A, Chang S F. A conceptual framework for indexing visual information at multiple levels[C]. In: Proceedings of IS&T/SPIE Internet Imaging, San Jose, CA.2000,3964.
    ④ Batley S. Visual Information Retrieval:Browsing Strategies in Pictorial Databases[C]. In:Proceedings of 12th International Online Information Meeting, London,1988:373-381
    ① Hollink L, et al. Classification of User Image Descriptions[J]. International Journal of Human-Computer Studies,2004,61(5):601-626.
    Cunningham S J, Bainbridge D, Masoodian M. How people describe their image information needs:A grounded theory analysis of visual arts queries. Proceeding s of the 2004 Joint ACM/IEEE Conference on Digital Libraries(JCDL'04),2004:47-66.
    ① Keiser L. User types and queries:Impact on image access systems[C]. Proceedings of the ASIS 5fh Annual Meeting,1994,31:1-22.
    ② Goodrum A, Spink A. Image searching on the Excite web search engine[J]. Information Processing and Management,2001,37:295-311.
    ① Jorgensen C, Jorgensen P. Image Querying by Image Professionals[J]. Journal of the American Society for Information Science and Technology,2005,56(12):1346-1359.
    ② Armitage L, Enser P. Analysis of user need in image archives[J]. Journal of Information Science,1997,23(4): 287-299.
    ③ Choi Y, Rasmussen E M. Searching for Images:The Analysis of User's Queries for Image Retrieval in American History. Journal of The American Society for Information Science and Technology,2003,54(6): 498-511.
    Yoon J, Chung E. Image query reformulation over different search stages[C].2009 ASIS&T Annual Meeting, poster.
    Hollink L. Semantic Annotation for Retrieval of Visual Resources[D]. University of Amsterdam.2006.
    ① Enser P, McGregor C. Analysis of visual information retrieval queries[J]. British Library Research and Development Report,1993,6104.
    ② Pu X T. An analysis of Web image queries for search. In AS/S2003, Long Beach, California.2003:340-348.
    ③ Pu X T. A study on query analytic model for image retrieval[C]. LNCS,2005,3334:378-387.
    ④ Pu X T. An analysis of failed queries for web image retrieval[J]. Journal of Information Science OnlineFirst, 2008,34(3):275-289.
    ① Batley S. Visual information retrieval:browsing strategies in pictorial database[C]. In: Proceedings of 12th International Online Information Meeting,1988:373-381。
    ② Markkula M, Sormunen E. End-user searching challenges indexing practices in the digital newspaper photo archive[J]. Information Retrieval,2000,1(4):259-285.
    ③ Cunningham S J, Masoodian M. Looking for a Picture:An Analysis of Everyday Image Information Searching. JCDL'06, Chapel Hill, North Carolina.2006:198-199.
    ① Fokumoto T. An analysis of image retrieval behavior for metadata type image database[J]. Information Processing and Management,2006,42:723-728.
    ② Goodrum A et al. A state transition analysis of image search pattern on the Web[C]. CIVR 2003, LNCS,2003, 2728:281-290.
    ③ Jorgensen C, Jorgensen P. Image querying by image professionals[J]. Journal of the American Society for Information Science and Technology,2005,56(12):1346-1359.
    ① Yoon J, Chung E. Image query reformulation over different search stages[C].2009 ASIS&T Annual Meeting. poster.
    ② 张新民等译.转折:在情境中集成信息查寻与检索[M].北京:科学技术文献出版社.2007:14.
    ① Batley S. Visual information retrieval:browsing strategies in pictorial databases[D]. Ph.D. thesis, University of Aberdeen.1988.
    ② Bates M J. The design of browsing and berrypicking techniques for the online search interface[J]. Online Review,1989,13:407-424.
    ③ Yoon J, Chung E. Image query reformulation over different search stages.2009 ASIS&T Annual Meeting. poster.
    ④ Yoon J. An exploration of needs for connotative messages during image search processfC]. Proceedings of the 69th Annual Meeting of the American Society for Information Science and Technology.2006.
    ① Jorgensen C. The applicability of existing classification systems to image attributes:A selected review[J]. Knowledge Organization and Change,1996, (5):189-197.
    ② O'Connor B, et al. User reactions as access mechanism:an exploration based on captions for images[J], Journal of The American Society For Information Science,1999,50.
    ③ Fidel R A. The image retrieval task:implications for the design and evaluation of image databases[J]. The New Review of Hypermedia and Multimedia,1997,3:181-199.
    ④ Smeulders A W, et al. Content-based image retrieval at the end of the early years[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(12):1349-1380.
    Fokumoto T. An analysis of image retrieval behavior for metadata type image database[J]. Information Processing and Management,2006,42:723-728.
    ① Smeulders A W, et al. Content-based image retrieval at the end of the early years[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(12):1349-1380.
    ② Vakkari P. Cognition and changes of search term and tactics during task performance:a longitudinal study[C]. In Proceeding of the RIAO 2000 Conference Paris,2000:894-907.
    ③ Frost C, Noakes A. Browsing images using broad classification categories[C]. In 9th ASISSIGCR Classification Research Workshop,1998:71-89.
    ④ Heidorn P. The identification of index terms in natural language object descriptions[C]. In Proceedings of the American Socience Conference.1999.
    ① 张晓林,彭原,李桂华.市民信息查找过程的跟踪分析(一):研究构想和信息查找过程分析[J].图书情报工作,1995,(5):39-43.
    ① 2009年中国搜索引擎用户行为研究报告[R/OL].[2009-9-12].http://down3.tech.sina.com.cn/fdl/doc/CNNIC2009search.doc.
    ① 人文学科VS社会科学,博客:等待戈多[OL].[2009-12-14]. http://blog.sina.com.cn/s/blog4b2fl10d0100erad.html.
    ① Cunningham S J, Bainbridge D, Masoodian M. How people describe their image information needs:a grounded theory analysis of visual arts queries[C]. Proceeding s of the 2004 Joint ACM/IEEE Conference on Digital Libraries(JCDL'04),2004:47-66.
    ① 中国互联网络发展状况统计报告(2009年1月)[R/OL]. [2009-5-23]. http://www.cnnic.net.cn/.
    ① 张春兴.现代心理学[M].上海:上海人民出版社,1994:489.
    ① 中国互联网络发展状况统计报告(2009年1月)[R/OL]. [2009-5-23]. http://www.cnnic.com/.
    ① 邓小昭.顺特网用户信息需求与满足研究[D].武汉:武汉大学,2002:36.
    ① 朱学芳.图像信息及其技术的应用[J].公共管理高层论坛,2005,(1):216-219.
    ① 赖茂生等.网络用户搜索的语言使用行为研究——实验设计与搜索价值.情报理论与实践,2009,32(2):95-98.
    ① Gay L R, Airasian P. Educational research:Competencies for analysis and application (6th ed.)[M]. New Jersey: Prentice-Hall,2000.
    ② Sudman S. Applied Sampling[M]. New York:Academic Press,1976.
    ③ Fokumoto T. An analysis of image retrieval behavior for metadata type image database[J]. Information Processing and Management,2006,42:723-728.
    ④ Goodrum A., et al. A state transition analysis of image search pattern on the Web[C]. CIVR 2003, LNCS,2728: 281-290.
    ⑤ 朱明泉,张智君.任衍具.互联网信息搜索用户行为模型的探索性研究[J].浙江大学学报(理学版),2006,33(4):673-678.
    ⑥ 赖茂生,屈鹏.网络用户的搜索入口与跳转行为研究[J].情报理论与实践,2009,32(4):100-103.
    ① 赖茂生,屈鹏.网络用户的搜索入口与跳转行为研究[J].情报理论与实践,2009,32(4):100-103.
    ① Spink A, Ozmutlu H C. Characteristics of question format web queries:an exploratory study[J]. Information Processing and Management,2002,38(4):453-471.
    ② Spink A, Ozmutlu H C, Lorence D P. Web searching for sexual information:an exploratory study[J]. Information Processing and Management,2004,40(1):113-123.
    ③ 朱明泉,张智君,任衍具.互联网信息搜索用户行为模型的探索性研究[J].浙江大学学报(理学版),2006,33(4):673-678.
    ① Hawk W B, Wang P. Users interaction with the World Wide Web:problems and problem-solving[C]. Proceedings of the 62nd ASIS Annual Meeting. Medford, NJ:Information Today,2000:256-270.
    ② White M D, Livonen M. Questions as a factor in web search strategy[J]. Information Processing and Management,2001,37(5):721-740.
    ③ Kim K S. Information seeking on the Web:Effects of user and task variables[J]. Library and Information Science Reseach,2001,23(3):233-255.
    ④ Fokumoto T. An analysis of image retrieval behavior for metadata type image database[J]. Information Processing and Management,2006,42:723-728.
    ⑤ Goodrum A A, Bejune M M, Siochi A C. A state transition analysis of image search pattern on the Web[C]. C1VR 2003, LNCS,2728:281-290.
    ⑥ 朱明泉,张智君,任衍具.互联网信息搜索用户行为模型的探索性研究[J].浙江大学学报(理学版),2006,33(4):673-678.
    ⑦ 赖茂生,屈鹏.网络用户的查询与点击行为研究[J].情报理论与实践,2009,32(3):85-88.
    ① Goodrum A A, Bejune M M, Siochi A C. A state transition analysis of image search pattern on the Web[C]. CIVR 2003, LNCS,2728:281-290.
    ① 王庆稳,邓小昭.网络用户信息浏览行为研究[J].图书馆理论与实践,2009(2):55-58.
    ② 邓小昭.因特网用户信息需求与满足研究[D].武汉:武汉大学,2002:46
    ③ Jansen B J, Spink A, Saracevic T. Real life, real users, and real needs:a study and analysis of user queries on the web[J]. Information processing and management,2000,36(2):207.
    ① Fokumoto T. An analysis of image retrieval behavior for metadata type image database[J]. Information Processing and Management,2006,42:723-728.
    ① Siochi A C, Ehrich R W. Computer analysis of user interfaces based on repetition in transcripts of user sessions[J]. ACM Transactions on Information Systems,1991,9(4):309-335.
    ① 邓小昭.因特网用户信息需求与满足研f究[D].武汉:武汉大学,2002:50.
    ② 邓小昭.因特网用户信息检索与浏览行为研究[J].情报学报,2003,22(6):654-658.
    ① 邓小昭.因特网用户信息需求与满足研究[D].武汉:武汉大学,2002.
    ① 曹梅,朱学芳.图像检索需求描述的研究进展[J].现代图书情报技术,2009,(12).
    ② Ekains J. Towards Intelligent Image Retricval[J]. Pattern Recognition,2002,35(1):3-14.
    ② 沈青松.图像语义标注与检索及在数字图书馆中的应用[D].杭州:浙江大学,2006:11
    ① Marti A H. Search User Intcrfaccs[M/OL]. Cambridge University Press.2009. [2009-10-14]. Online available:http://searchuserinterfaces.com/.
    ① Jorgensen C. Attributes of images in describing tasks. Information Processing and Management,1998, 34(2/3):161-174
    ② Cunningham S J, Bainbridge D, Masoodian M. How people describe their image information needs:A grounded theory analysis of visual arts queries. Proceeding s of the 2004 Joint ACM/IEEE Conference on Digital Libraries(JCDL'04),2004:47-66.
    ③ Cunningham S J, Masoodian. Looking for a Picture:An Analysis of Everyday Image Information Searching. JCDL'06, Chapel Hill, North Carolina.2006:198-199.
    ① Jorgcnscn C. Attributes of images in describing tasks. Information Processing and Management, IW8, 34(2/3):61-174.
    ② 赖茂生,屈鹏.网络用户的查询与点击行为研究.情报理论与实践,2009,32(3):85-88.
    ① Jorgensen C, Jorgensen P. Image querying by image professionals[J]. Journal of the American Society for Information Science and Technology,2005,56(12):1346-1359.
    ① 邓小昭.因特网用户信息需求与满足研究[D].武汉:武汉大学,2002:45.
    ① Spink A. Searching heterogeneous collections on the Web:behaviour of Excite users[J]. Information Research,1998,4(2).
    ② 邓小昭.因特网用户信息需求与满足研究[D].武汉:武汉大学,2002:45.
    ① 百度搜索帮助中心[OL]. [2010-2-5]. http://www.baidu.com/search/faq_image.html#05.
    ② 卜晓蝶.台湾网路使用者检索行为探析[J].大学图书馆,2000,4(2):23-37.
    ③ Jorgensen C, Jorgensen P. Image querying by image professionals[J]. Journal of the American Society for Information Science and Technology,2005,56(12):1346-1359.
    ④ Rieh S Y, Xie H. Analysis of multiple query reformulations on the web:The interactive information retrieval context. Information Processing and Management,2006,(42):751-768
    ① Yoon J, Chung E. Image query reformulation over different search stages.2009 ASIS&T Annual Meeting. poster.
    ② 赖茂生,屈鹏.网络用户的查询与点击行为研究.情报理论与实践,2009,32(3):85-88.
    ① Tjondronegoro D, Spink A. Web search engine multimedia functionality[J]. Information Processing and Management,2008,44:340-357.
    ① 台湾数位典藏技术汇编2006年版之“博物馆社群後设资料标准”[EB/OL].[2009-12-15].http://www2.ndap.org.tw/eBook3/showContent.php.
    ② Yoon J. Towards a user-oriented thesaurus for non-domain-specific image collections[J]. Information Processing and Management,2009,45:452-468.
    ① MultimediaN N9C Eculture Project [EB/OL]. [2009-09-20]. http://e-culture.multimedian.nl/.
    1. Armitage L, Enser P. Analysis of user need in image archives[J]. Journal of Information Science,1997,23(4):287-299.
    2. Bates M J. Information search tactics[J]. Journal of the American Society for Information Science,1979,30(4):205-214.
    3. Bates M J. The design of browsing and berrypicking techniques for the on-line search interface[J]. Online Review,1989,13(5):407-431.
    4. Batley S. Visual information retrieval:browsing strategies in pictorial database[C]. In:Proceedings of 12th International Online Information Meeting,1988:373-381。
    5. Berrypicking Model探莓模式[EB/OL].[2009-8-24].http://morris.lis.ntu.edu. tw/wikimedia/index.php/Berrypicking_Model.
    6. Broder A. A taxonomy of web search[J]. SIGIR Forum,2002,36(2):3-10.
    7. Chen H, Cooper M D. Stochastic modeling of usage pattern in a web-based information system[J]. Journal of the American Society for Information Science and Technology,2002,51(9):841-857.
    8. Chen H, Kochtanek T, Burns C S. An analysis of users' image queries of a photojournalism image database:a web analytics approach[C].2009 ASI&T Annual Meeting,2009, British Columbia, Canada. [2009-9-12]. http://www.asis.org/Conferences/AM09/open-proceedings/posters/
    9. Chen H. An analysis of image queries in the field of art history[J]. Information Processing and Management,2001,37,701-720.
    10. Choi Y, Rasmussen E M. Searching for Images:The Analysis of User's Queries for Image Retrieval in American History[J]. Journal of The American Society for Information Science and Technology,2003,54(6):498-511.
    11. Choo C W, Detlor B, Turnull D. Information seeking on the web:an integrated model of browsing and searching[J]. First Monday,2000,5(2).
    12. CNNIC.2005-2006中国Web2.0现状与趋势调查报告[R/OL].2006.[2009-10-10]. http://www.cnnic.net.cn.
    13. Cunningham S J, Bainbridge D, Masoodian M. How people describe their image information needs:a grounded theory analysis of visual arts queries[C]. Proceeding s of the 2004 Joint ACM/IEEE Conference on Digital Libraries(JCDL'O4),2004:47-66.
    14. Cunningham S J, Masoodian M. Looking for a Picture:An Analysis of Everyday Image Information Searching[C]. JCDL'06, Chapel Hill, North Carolina.2006: 198-199.
    15. Ekains J. Towards Intelligent Image Retrieval[J]. Pattern Recognition,2002, 35(1):3-14.
    16. Ellis D, Haugan M. Modeling the information seeking patterns of engineers and research scientists in an industrial environment[J]. Journal of Documentation, 1997,53, (4):384-403.
    17. Ellis D. A behavioural model for information retrieval system design[J]. Journal of Information Science,1989,15:237-247.
    18. Ellis D. The physical and cognitive paradigms in information retrieval research[J]. Journal of Documentation,1992,48(1):45-64.
    19. Enser P, McGregor C. Analysis of visual information retrieval queries[J]. British Library Research and Development Report,1993,6104.
    20. Esposito D, et al. University students' perceptions of the Internet:an exploratory study[J]. The Journal of Academic Librarianship.1999,25(6):456-461.
    21. Fidel R A. The image retrieval task:implications for the design and evaluation of image databases[J]. The New Review of Hypermedia and Multimedia,1997, 3:181-199.
    22. Fokumoto T. An analysis of image retrieval behavior for metadata type image database[J]. Information Processing and Management,2006,42:723-728.
    23. Frost C, Noakes A. Browsing images using broad classification categories[C]. In 9th ASIS SIGCR Classification Research Workshop,1998:71-89.
    24. Gay L R, Airasian P. Educational research:Competencies for analysis and application (6th ed.)[M]. New Jersey:Prentice-Hall,2000.
    25. Goodrum A A, Bejune M M, Siochi A C. A state transition analysis of image search pattern on the Web[C]. CIVR 2003, LNCS,2728:281-290.
    26. Goodrum A, Spink A. Image searching on the Excite web search engine[J]. Information Processing and Management,2001,37(2):295-311.
    27. Google大全之搜索服务[EB/OL].[2010-2-25].http://www.google.cn/intl/zh-CN/options/.
    28. Hasting S K. An exploratory study of intellectual access to digitized art images[C]. Proceeding of the 16th National Online Meeting,1995a:177-185.
    29. Hasting S K. Query categories in a study of intellectual access to digitized art images[C]. Proceedings of the ASIS 58th Annual Meeting, Chicago,1995b, (32): 3-8.
    30. Hawk W B, Wang P. Users interaction with the World Wide Web:problems and problem-solving[C]. Proceedings of the 62nd ASIS Annual Meeting. Medford, NJ: Information Today,2000:256-270.
    31. Heidorn P. The identification of index terms in natural language object descriptions[C]. In Proceedings of the American Socience Conference.1999.
    32. Hertzum M, Frokjaer E. Browsing and querying in online documentation:A study of user interfaces and the interaction process[J]. A CM Transactions on Computer-Human Interaction (ToCHI),3(2):136-161,1996.
    33. Hewins E T. Information needs and use studies[C]//Williams M E (Ed.), ARIST25,1990:147-172.
    34. Hollink L, et al. Classification of User Image Descriptions[J]. International Journal of Human-Computer Studies,2004,61(5):601-626.
    35. Hollink L. Semantic Annotation for Retrieval of Visual Resources[D]. University of Amsterdam.2006.
    36. Isenberg D J. Thinking and managing:a verbal protocol analysis of managerial problem solving[J]. Academy of Management Journal,1986,29(4):775-788.
    37. Jaims A, Chang S F. A conceptual framework for indexing visual information at multiple levels[C]. In:Proceedings of IS&T/SPIE Internet Imaging, San Jose, CA.2000,3964.
    38. Jansen B J, Spink A, Saracevic T. Real life, real users, and real needs:a study and analysis of user queries on the web[J]. Information processing and management,2000,36(2):207.
    39. Jorgensen C, Jorgensen P. Image querying by image professionals[J]. Journal of the American Society for Information Science and Technology,2005,56(12): 1346-1359.
    40. Jorgensen C. Attributes of images in describing tasks[J]. Information Processing and Management,1998,34(2/3):161-174
    41. Jorgensen C. Indexing images:Testing an image description template[C]. Proceedings of the 59th ASIS Annual Meeting,1996,33:209-213.
    42. Jorgensen C. The applicability of existing classification systems to image attributes:A selected review[J]. Knowledge Organization and Change,1996, (5): 189-197.
    43. Keiser L. User types and queries:Impact on image access systems[C]. Proceedings of the ASIS 57th Annual Meeting,1994,31:7-22.
    44. Kim K S. Information seeking on the Web:Effects of user and task variables[J]. Library and Information Science Reseach,2001,23(3):233-255.
    45. Kuhlthau C C. Seeking Meaning:A Process Approach to Library and Information Services (2 edition)[M]. Ablex Publishing Company,2004.
    46. Library of Congress. On the record:Report of the library of congress working group on the future of bibliographic control [R/OL],2008. [2009-3-8]. http://www.loc.gov/bibliographic-future/news/lcwgontherecord-jan08-final.pdf
    47. Marchionini G, White R W. Find What You Need, Understand What You Find[J]. Journal of Human-Computer Interaction,2008,23(3):205-237.
    48. Marchionini G. Information-seeking strategies of novices using a full-text electronic encyclopedia[J]. Journal of the American Society for Information Science,1989,40(1):54-66.
    49. Markkula M, Sormunen E. End-user searching challenges indexing practices in the digital newspaper photo archive[J]. Information Retrieval,2000, 1(4):259-285.
    50. Marti A H. Search User Interfaces[M/OL]. Cambridge University Press.2009. [2009-10-14]. Online available:http://searchuserinterfaces.com/.
    51. Miller A D, Edwards W K. Give and Take:A Study of Consumer Photo-sharing Culture and Practice[C]. In:Proceedings of the SIGCHI conference on Human factors in computing systems, New York, NY, USA,2007.
    52. MultimediaN N9C Eculture Project [EB/OL]. [2009-09-20]. http://e-culture.multimedian.nl/.
    53. OCLC. Sharing, Privacy and Trust in Our Networked World [R].2008. [2009-10-10]. http://www.oclc.org/reports/.
    54. O'Connor B, et al. User reactions as access mechanism:an exploration based on captions for images[J], Journal of The American Society For Information Science,1999,50.
    55. O'Day V L, Jeffries R. Orienteering in an information landscape:how information seekers get from here to there[C]. In Proceedings of the INTERCHI Conference on Human Factors in Computing Systems (CHI'93), Amsterdam, April 1993. IOS Press.
    56. Ornager S. Image retrieval:Theoretical analysis and empirical user studies on accessing information in images[C]. Proceedings of the 60th ASIS Annual Meeting,1997,34:202-211.
    57. Ornager S. The newspaper image database:Empirical supported analysis of users' typology and word association clusters[C]. Proceedings of the 18th annual international ACM SIGIR conference on research and development in information retrieval,1996:212-218.
    58. Pirolli P. Information Foraging Theory[M]. Oxford University Press,2007.
    59. Pu X T. A study on query analytic model for image retrieval[C]. LNCS,2005, 3334:378-387.
    60. Pu X T. An analysis of failed queries for web image retrieval[J]. Journal of Information Science Online First,2008,34(3):275-289.
    61. Pu X T. An analysis of Web image queries for search. ASIS2003, Long Beach, California.2003:340-348.
    62. Rieh S Y, Xie H. Analysis of multiple query reformulations on the web:The interactive information retrieval context[J]. Information Processing and Management,2006,(42):751-768.
    63. Rorvig, M, et al. (1988). The NASA image collection visual thesaurus. Proceedings of the ASIS 17th Mid-Year Meeting, Ann Arbor, MI.
    64. Russell D M. How do Google searchers behave? Improving search by divining intent[EB/OL]. [2008-3-16]. http://hci.stanford.edu/cs547/abstracts/05-06/060310-russell.html.
    65. Saracevic T, Kantor P. A study of information seeking and retrieving[J]. Journal of the American Society for Information Science,1988,39(3):161-216.
    66. Shatford S L. Analyzing the Subject of a Picture:A Theoretical Approach[J]. Cataloging & Classification Quarterly 6:3 (1986):39-61.
    67. Shneiderman B, Byrd D, Croft W B. Clarifying search:a user-interface framework for text searches[J]. DL Magazine, January 1997.
    68. Silverstein C, et al. Analysis of a very large web search engine query log[J]. SIGIR Forum,1999,33(1):6-12.
    69. Siochi A C, Ehrich R W. Computer analysis of user interfaces based on repetition in transcripts of user sessions[J]. ACM Transactions on Information Systems,1991,9(4):309-335.
    70. Smeulders A W, et al. Content-based image retrieval at the end of the early years[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000,22(12):1349-1380.
    71. Spink A, et al. Searching the Web:the public and their queries[J]. Journals of the American Society for Information Science & Technology,2001,52(3): 226-234.
    72. Spink A, Ozmutlu H C, Lorence D P. Web searching for sexual information:an exploratory study[J]. Information Processing and Management,2004,40(1): 113-123.
    73. Spink A, Ozmutlu H C. Characteristics of question format web queries:an exploratory study[J]. Information Processing and Management,2002,38(4): 453-471.
    74. Spink A, Saracevic T. Human-computer interaction in information retrieval: nature and manifestations of feedback[J]. Interacting with Computers,1998, 10(3):249-267.
    75. Spink A. Searching heterogeneous collections on the Web:behavior of Excite users[J]. Information Research,1998,4(2).
    76. Stvilia B, Jorgensen C. End-user Collection Building Behavior in Flickr[C]. In: Proceedings of the 70th annual meeting of ASIS&T, Milwaukee, Wisconsin, 2007.
    77. Sudman S. Applied Sampling[M]. New York:Academic Press,1976.
    78. Sutcliffe A G, Ennis M. Towards a cognitive theory of information retrieval [J]. Interacting with Computers,1998,10:321-351.
    79. Teevan J, Alvarado C, Ackerman M S, and Karger D R. The perfect search engine is not enough:a study of orienteering behavior in directed search[C]. Proceedings of the 27 th Annual International ACM SIGIR Conference on Research and development in information retrieval (SIGIR'04), pages 415-422, 2004.
    80. Tjondronegoro D, Spink A. Web search engine multimedia functionality[J]. Information Processing and Management,2008,44:340-357.
    81. Turner J M. (1995). Comparing user-assigned terms with indexer-assigned terms for storage and retrieval of moving images:Research results[C]. Proceedings of the 58th ASIS Annual Meeting,32,9-12.
    82. Vakkari P. Cognition and changes of search term and tactics during task performance:a longitudinal study[C]. In Proceeding of the RIAO 2000 Conference Paris,2000:894-907.
    83. Vakkari P. Trends and approaches in information behavior research[J]. Information Research,2008,13(4). [2009-10-10]. http://informationr.net/ir/13-4/paper361.html.
    84. Wang P, William B H, Carol T. Users interaction with World Wide Web resources:an exploratory study using a holistic approach[J]. Information Processing and Management,2000,36(2):229-251.
    85. Westman S, Oittinen P. Image Retrieval by End-Users and Intermediaries in a Journalistic Work Context[J]. Information Interaction in Context. Copyright 2006 ACM.
    86. White M D, Livonen M. Questions as a factor in web search strategy[J]. Information Processing and Management,2001,37(5):721-740.
    87. Wilson T D. Human Information Behavior[J]. Information Science,2000,3(2): 49-55.
    88. Wilson T D. On User Studies and Information Needs[J]. Journal of Documentation,1981,(1).
    89. Yang S. Information seeking as problem-solving using a qualitative approach to uncover the novice learners information-seeking process in a pursues hypertext system[J]. Library & Information Science Research,1997,19:71-92.
    90. Yoon J, Chung E. Image query reformulation over different search stages[C]. 2009 ASIS&T Annual Meeting, poster. [2009-9-12]. http://www.asis.org/Conferences/AM09/open-proceedings/posters/
    91. Yoon J. An exploration of needs for connotative messages during image search process[C]. Proceedings of the 69th Annual Meeting of the American Society for Information Science and Technology.2006.
    92. Yoon J. Towards a user-oriented thesaurus for non-domain-specific image collections[J]. Information Processing and Management,2009,45:452-468.
    93. Amoto G, Straccia U. User profile modeling and applications to digital libraries [J].LNCS,1999,1696.
    94.白光祖,吕俊生.基于信息需求层次理论的PIE可满足性分析[J].情报杂志,2009,28(4):48-51.
    95.白海燕,赵丽辉.网络环境下的用户信息行为分析[J].燕山大学学报(哲学社会科学版),2003,3(1):88-92.
    96.百度日本:81%的搜索是在检索图片.[2010-2-8].http://exiaohai.com/wangye/216.html.
    97.百度搜索帮助中心[OL].[2010-2-5].http://www.baidu.com/search/faq_image.html#05.
    98.博士生涯Blog:信息行为研究的演进[EB/OL].[2009-07-10].http://blog.sina.com.cn/s/blog492afa500100b76m.html.
    99.卜晓蝶.台湾网路使用者检索行为探析[J].大学图书馆,2000,4(2):23-37.
    100.曹梅,朱学芳.图像检索需求描述的研究进展[J].现代图书情报技术,2009,(12).
    101.曹梅,朱学芳.网络环境下的图像信息资源共享模式研究[J].情报科学,2009,(5).
    102.曹梅,朱学芳.用户信息行为研究的方法体系初探[J].情报理论与实践,2010,(1).
    103.曹树金.国外网络信息查询行为研究进展[J].国家图书馆学刊,2002(2):46-52.
    104.曹双喜,邓小昭.网络用户信息行为研究述略[J].情报杂志,2006,(2):79-81.
    105.昌建纳等.综合性大学图书馆用户文献信息需求调查分析[J].图书情报工作,2004,(8):44-47.
    106.常艳丽,朱学芳,宋璞.新闻图像现状及其相关标准研究概览[J].情报探索,2006,(5).
    107.巢乃鹏.用户信息查询行为的理论与实践研究[M].北京:兵器工业出版社,2001.
    108.陈建龙.信息市场经营与信息用户[M].北京:科学技术文献出版社,1994.
    109.隙慧珍.網路图像使用者相关判断之研究[D].台湾:台湾师范大学,2003.
    110.邓建国.Web2.0时代的互联网使用行为与网民社会资本之关系考察[D].复旦大学新闻学院,2007.
    111.邓小昭.因特网用户信息检索与浏览行为研究[J].情报学报,2003,22(6):654-658.
    112.邓小昭.因特网用户信息需求与满足研究[D].武汉:武汉大学,2002.
    113.窦玉萌,赵丹群.协作标注系统研究综述[J].现代图书情报技术,2009,175(2):9-17.
    114.冯花朴.网络用户信息行为研究发展[J].情报杂志,2007(9):25-28.
    115.甘利人,白晨.检索决策中的信息用户行为调整初探[J].数字图书馆论坛,2009,64(9):45-52.
    116.甘利人.关于我们的研究——信息用户认知行为探索[R].2009年用户信息行为研究研讨会,2009年,北京大学.(会议报告PPT)
    1 17.高依旻.网络科技用户的信息搜索行为研究[D].南京理工大学,2004.
    118.顾立平.基于Web2.0用户信息检索行为的交互设计:后设分析与问卷调查研究[J].图书情报知识,2009,129(3):26-34.
    119.国家图书馆举办的“网络环境下的读者服务工作”培训班课程讲义[EB/OL].[2009-6-21]. http://blog.sina.com.cn/s/blog_4d21459d0100er15.html
    120.韩丽风.试论数字图书馆的信息参考服务[J].中国图书馆学报,2005,(1):61-64.
    121.胡昌平,贺娜,张俊娜.网络环境下高校科研人员信息查询行为的调查与分析[J].情报理论与实践,2008,(2):223-225.
    122.胡昌平,乔欢.信息服务与用户[M].武汉:武汉大学出版社,2001.
    123.胡昌平.论网络化环境下的用户信息需求[J].情报科学,1998,(1):16-23.
    124.胡昌平.情报控制论基础[M].北京:书目文献出版社.1988.
    125.胡昌平.现代信息管理机制研究[M].武汉:武汉大学出版社,2004.
    126.胡昌平.信息服务与用户研究(修订版)[M].北京:科学技术文献出版社.2005.
    127.胡岷.用户行为研究常用调查方法述略[J].成都理工大学学报(社会科学版).2005,13(3):54-57.
    128.胡瑜.大学生网络信息查寻心理与行为的研究[J].情报理论与实践,2005,28(5):508-510.
    129.黄长著等.中国图书情报网络化研究[M].北京:北京图书馆出版社,2002.
    130.黄丽红.影响网络信息检索的用户因素[J].情报理论与实践,2005,28(2):145-147.
    131.黄丽霞.WWW环境下信息检索策略实验调查研究[J].中国图书馆学报,2003,(3):54-56.
    132.黄亮.网络用户的分析.科技情报开发与经济[J].2003,13(9):225-226.
    133.柯青,王秀峰,孙建军.以用户为中心的研究范式——理论起源[J].情报资料工作,2008,(4):51-55.
    134.赖茂生,屈鹏.网络搜索中语言使用特征研究[J].现代图书情报技术,2008(7):47-53.
    135.赖茂生,屈鹏.网络用户的查询与点击行为研究.情报理论与实践,2009,32(3):85-88.
    136.赖茂生,屈鹏.网络用户的搜索入口与跳转行为研究[J].情报理论与实践,2009,32(4):100-103.
    137.赖茂生,屈鹏.网络用户信息获取语言使用行为研究[J].现代图书情报技术,2008(6):16-23.
    138.赖茂生,屈鹏.用户搜索行为研究代表性工作与展望[M].//王忠军,主编.情报学进展:第7卷(2006-2007年度评论).北京:国防工业出版社,2008:118-151.
    139.赖茂生等.网络用户搜索的语言使用行为研究——实验设计与搜索价值[J].情报理论与实践,2009,32(2):95-98.
    140.李淳.研究生学术信息查寻行为研究[D].南京航空航天大学,2007.
    141.李广建等.用户模型及其学习方法[J].现代图书情报技术,2002,(6):24-27.
    142.李恒.基于认知心理学的科技用户信息搜索行为理论研究[D].南京理工大学,2006.
    143.李建生.图像元数据特征提取及其在检索中的应用[D].南京:南京师范大学,2006.
    144.李书宁.网络用户信息行为研究[J].图书馆学研究,2004,(7):82-83.
    145.廖利文.1995-2007年实证研究方法在图书情报学中的应用情况[J].现代情报,2008,(10):57-60.
    146.林珊如.图书馆使用者浏览行为之研究:浏览结果及影响因素之分析[J].图书资讯学刊.2000,(15)
    147.吕娜.数字图书馆用户研究综述[J].情报理论与实践.2005,(3):247-250.
    148.马利霞.网络用户信息需求研究[D].广州:中山大学信息管理系,2004.
    149.毛晓燕.搜索引擎用户满意度研究的实证分析——以百度和Google中国为例[J].图书馆杂志,2008,27(3):40-47.
    150.潘幼乔,邓小昭.基于Zelen设计的网络用户信息检索行为实验方案与评估[J].图书情报工作,2007,51(3):76-79.
    151.人文学科VS社会科学,博客:等待戈多[OL].[2009-12-14].http://blog.sina.com.cn/s/blog4b2f110d0100erad.html.
    152.沙勇忠,阎劲松,苏云.网络环境下科研人员的信息行为分析[J].情报科学,2006,24(4):485-491.
    153.沈福地.以检索记录分析网路图像检索需求之研究[D].台湾:台湾世新大学,2004.
    154.沈青松.图像语义标注与检索及在数字图书馆中的应用[D].浙江大学,2006.
    155.师宏睿.贝尔金与德尔文情报认知观评述[J].图书与情报,2003,(5):12-14.
    156.苏瑞竹.论情报学的认知观点[J].情报科学.2000,(6):511-514.
    157.孙林山.我国信息用户需求和信息行为分析研究综述[J].图书馆论坛,2006,26(5):41-44.
    158.孙懿斌.网络医药信息用户需求分析与资源开发利用[J].中华医学图书情 报杂志,2002,11(6):13-15.
    159.台湾数位典藏技术汇编2006年版之“博物馆社群后设资料标准”
    160.王建勇.海量Web搜索引擎系统中用户行为的分布特征及其启示[J].中国科学,2001,31(4):372-384.
    161.王磊,朱学芳.图像检索中的元数据分析[J].情报科学,2005,23(9):1414-1417.
    162.王良成.网络环境下大学生信息需求与利用行为调查研究[J].情报科学,2002,20(2):217-221.
    163.王庆稳,邓小昭.网络用户信息浏览行为研究[J].图书馆理论与实践,2009(2):55-58.
    164.向建军,陈雪.国外信息查寻范式研究[J].新世纪图书馆,2006,(4):27-29.
    165.许闻廉(Wen-Lian Hsu). Implication of Web2.0 on Information Research[C]. Workshop on Web2.0 Technology and Applications. Academia Sinica,2007.
    166.杨阳,张新民.信息觅食理论的研究进展[J],现代图书情报技术,2009,174(1):73-79.
    167.英格沃森(丹麦),秦喜艳,陆伟译.情境驱动的交互式信息检索集成研究框架[J].图书情报知识.2008,(11):44-50.
    168.曾娜,朱学芳,吴建华.智能监控中图像档案的建立与管理问题探讨[J].档案与建设,2009,(1):40-41.
    169.张爱霞,张新民.信息查寻与信息检索的整合研究[J].图书情报工作.2007,(10):10-12.
    170.张春兴.现代心理学[M].上海:上海人民出版社,1994.
    171.张晓林,李桂华,彭原.市民信息查找过程的跟踪分析(二):影响信息查找的因素分析[J].图书情报工作,1995,(6):41-44.
    172.张晓林,李桂华,彭原.市民信息需求与利用行为的调查分析[J].情报学报,1995,14(4):276-282.
    173.张晓林,彭原,李桂华.市民信息查找过程的跟踪分析(一):研究构想和信息查找过程分析[J].图书情报工作,1995,(5):39-43.
    174.张新民,化伯林等.认知信息检索研究的发展与展望[J].图书情报工作2007,(10):6-9.
    175.张新民等译.转折:在情境中集成信息查寻与检索[M].北京:科学技术文献出版社.2007.
    176.赵超.网络用户信息行为状态影响分析[J].图书情报工作,2008,52(3):117-121.
    177.中国互联网络发展状况统计报告(2009年1月)[R/OL]. [2009-5-23].http:// www.cnnic.net.cn/.
    178.中国互联网络信息资源的第五次数量调查[R/OL].[2009-3-20].http://www.cnnic.com/.
    179.中国搜索引擎用户行为研究报告(2009)[OL].[2009-9-12].http://down3.tech.sina.com.cn/fdl/doc/CNNIC2009search.doc.
    180.朱婕.国外信息行为模型分析与评价[J].图书情报工作,2005,49(4).
    181.朱婕.网络环境下个体信息获取行为研究[D].吉林:吉林大学,2007.
    182.朱明泉,张智君,任衍具.互联网信息搜索用户行为模型的探索性研究[J]. 浙江大学学报(理学版),2006,33(4):673-678.
    183.朱学芳,韩占校.一种图像主题网络爬虫的实现方法研究[J].南京师范大学学报(工程技术版),2008,8(4):115-117
    184.朱学芳,穆向阳.我国数字图像信息资源发展对策研究[J].情报科学,2010,28(1):29-34.
    185.朱学芳,王磊.XML及SVG在图像信息表示中的应用及研究现状分析[J].中国图书馆学报,2006,(1)
    186.朱学芳,袁顺波,徐强.我国数字图像信息资源应用现状及分析[J].中国图书馆学报,2008,34(1).
    187.朱学芳.计算机图像信息资源管理[J].现代图书情报技术,2004,118(12):21-24.
    188.朱学芳.图像信息及其处理技术的内容和特点分析[J].中国图书馆学报,2004,(1).
    189.邹永利.关于情报学认知观点的思考[J].图书馆,1999(1):4-7.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700