基于Web的个性化信息服务机制
摘要
二十一世纪是全球数字化信息时代，网络信息服务以其跨越时空组织资源和服务的优势得到越来越多的关注。与此同时，“以人为中心”的服务理念使传统信息服务模式受到巨大的冲击，用户需求成为驱动信息服务的主要力量，网络信息空间向个性化信息活动环境发展。基于这一发展趋势，本论文在研究个性化信息服务机制的基础上，结合相关网络技术，设计并实现了一个基于Web的个性化信息服务系统——“我的图书馆”系统。
论文首先分析了信息服务的个性化本质，介绍了个性化信息服务的目标、基本思路、框架及解决方案，在重点讨论了支撑个性化系统的相关技术Web数据库、网页动态生成技术、过程跟踪技术、模糊技术、推送技术以后，本文提出了个性化信息系统的一个可能框架及其涉及到的定制、共享、安全问题。
在具体的系统分析与设计中，笔者结合传统信息服务机构——图书馆在信息服务中的资源与服务优势，根据现有技术条件，与西南财经大学图书馆合作开发了“我的图书馆”系统，实现了界面定制、资源定制、定制共享等图书馆个性化服务的主要功能。
最后，论文对系统进行了评价，并展望了个性化信息服务的未来发展趋势。
In the twenty-first century which is an era of digital information, the Network Information Services (NIS) is getting more and more attention. At the same time, user-centered service idea influences the traditional information service pattern enormously, and the user's requirement has become the driving force of the sen'ice trend, thus the personalized information environment is needed. In the thesis, the writer investigates the personalized information service mechanism and uses the relative network technique to design and realize a web-based personalized information service system-"My Library".
Firstly, the thesis analyses the essence of the personalization, and introduces the aim, basic idea, frame and solution of the personalized information service. Emphasis is given to the discussion of relative network technique such as web database, dynamic web page, process tracking, push, and fuzzy personalization, etc. Then, the thesis proposes a frame of personalized information system, including relative customization, share, security issue.
As to the detailed analysis and design of the system, a personalized library service system is exploited, by way of combine the existing technique with the resource and service predominance of the traditional information organization -library, cooperating with the library of South West University of Finance and Economy. Some central functions such as interface customizing, resource customizing and information sharing are realized in this system.
Finally, the thesis evaluates this system and describes the prospects of
personalized information service.
论文首先分析了信息服务的个性化本质，介绍了个性化信息服务的目标、基本思路、框架及解决方案，在重点讨论了支撑个性化系统的相关技术Web数据库、网页动态生成技术、过程跟踪技术、模糊技术、推送技术以后，本文提出了个性化信息系统的一个可能框架及其涉及到的定制、共享、安全问题。
在具体的系统分析与设计中，笔者结合传统信息服务机构——图书馆在信息服务中的资源与服务优势，根据现有技术条件，与西南财经大学图书馆合作开发了“我的图书馆”系统，实现了界面定制、资源定制、定制共享等图书馆个性化服务的主要功能。
最后，论文对系统进行了评价，并展望了个性化信息服务的未来发展趋势。
In the twenty-first century which is an era of digital information, the Network Information Services (NIS) is getting more and more attention. At the same time, user-centered service idea influences the traditional information service pattern enormously, and the user's requirement has become the driving force of the sen'ice trend, thus the personalized information environment is needed. In the thesis, the writer investigates the personalized information service mechanism and uses the relative network technique to design and realize a web-based personalized information service system-"My Library".
Firstly, the thesis analyses the essence of the personalization, and introduces the aim, basic idea, frame and solution of the personalized information service. Emphasis is given to the discussion of relative network technique such as web database, dynamic web page, process tracking, push, and fuzzy personalization, etc. Then, the thesis proposes a frame of personalized information system, including relative customization, share, security issue.
As to the detailed analysis and design of the system, a personalized library service system is exploited, by way of combine the existing technique with the resource and service predominance of the traditional information organization -library, cooperating with the library of South West University of Finance and Economy. Some central functions such as interface customizing, resource customizing and information sharing are realized in this system.
Finally, the thesis evaluates this system and describes the prospects of
personalized information service.
引文
[1] 张晓林．用户情报过程中的心理与行为分析．四川大学学报丛刊63辑，1994
[2] 张晓林，党跃武等．网络化数字化的学术信息交流体系及其影响．图书馆，2000，3
[3] IBM. Web site personalization. http:/www-106.ibm.com/developerworks/library/personalization/
[4] Richard Dean. Personalizing Your Web Site. http://www.builder.com/Business/Personal/index.html
[5] 丁浩，林云．Internet上的个性化信息服务．计算机系统应用，2000，5
[6] 杨宜音等．互联网络个性化信息服务的社会心理学研究．计算机世界，1999，11，01
[7] 丁蔚，倪波．因特网信息服务新模式．情报理论与实践，2000，2
[8] 吴广印，胡亚莉．非结构化网络数据库在图书情报服务中的应用．现代图书情报技术，2001，1
[9] 刘旭，王瑞云．网络环境下大学图书馆的机构变革．大学图书馆学报，1999，1
[10] 张晓林．建立充分支持知识传播和知识创新的校园综合信息服务体系．四川大学学报(哲学社会科学版)，1999，4
[11] James C, Charles L. Personalized Information Environment: An Architecture for Customizable Access to Distributed Digital Libraries. D-Lib Magazine. 1999.6. http://www.dlib.org/dlib/june99/french/06french.html
[12] 同[3]
[13] http://www.amazon.com
[14] 8848网上交易市场．http://www.8848.net
[15] 同[3]
[16] Matt Calkins, Michael Beckley. The Ten Rules of Personalization. http://www.personalization.com/soapbox/contributions/appian.asp
[17] 同[11]
[18] 张晓林．虚拟信息资源系统的用户使用管理．现代图书情报技术，2000，5
[19] 王国荣．Active Server Pages & Web数据库．人民邮电出版社，1993
[20] A. Russell Jones. Active Server Pages 3从入门到精通．电子工业出版社，2000，8
[21] David Gulbransen, Kenrick Rawlings.动态HTML大全．电子工业出版社，1999，1
[22] Collaborative Filtering. http://pespmcl.vub.ac_be/COLLFIT.htm
[23] David Pennock, Eric Horvitz. Collaborative Filtering by Personality Diagnosis: A Hybrid Memory-and Model-based Approach. http://www.neci.nj.nec.com/～lawrence/papers/collab-uai00/bib.html
[24] William W. Cohen, Wei Fan. Web-Collaborative Filtering: Recommending Music by Crawling The Web. http://www9.org/w9cdrom/266/266.html
[25] Anuja Gokhale. Improvements to Collaborative Filtering Algorithms. http://www.cs.wpi.edu/～claypool/ms/cf-improve/html/thesis.html
[26] MIT Media-Lab. Social Information Filtering Algorithms for Automating Word of Mouth. http://www.acm.org/sigchi/chi95/proceedings/papers/us_bdy.htm
[27] James F. Baldwin, Trevor P. Martin, etc. Fuzzy User Modeling In Agents. http://www.enm.bris.ac.uk/research/aigroup/enat/fuzzy-m-doc-final.htm
[28] Fabio A. Asnicar, Massimo Di Fant. User Model-Based Information. Filtering, http://www.dimi.uniud.it/～ift/aiia/html/AI_IA.html
[29] Eftihia Benaki, Vangelis A. Karkaletsis, etc. User Modeling in WWW the UMIE Prototype. http://fit.gmd.de/UM97/Benaki/Benaki.html
[30] 崔雅萍，推送技术．国际电子报，1998第29期，网络世界版
[31] 涂序彦．智能“推—拉”技术．计算机世界2000．04．24第15期，产品与技术版
[32] 王忠民，涂序彦．推送技术的发展与应用．微计算机信息，1999，3
[33] 五种push软件简介．http://extend.hk.hi.cn/～kingsong/htm/push.htm
[34] 同[31]
[35] Hidekazu Sakagami, Tomonari Kamba,etc. Effective personalization of push-type systems— visualizing information freshness. http://decweb.ethz.ch/WWW7/1871/com1871.htm
[36] 同[35]
[37] MyLibrary: Model for Implementing a User-centered Customizabie Interface to a Library's Collection of Information Resources. http://my.lib.ncsu.edu/about/paper/index.html
[38] 张晓林，袁莉等．基于Web的个性化信息服务机制．现代图书情报技术，2001，1．
[39] 网易．http://my.163.com
[40] 赛迪网．http://www.ccidnet.com
[41] 新浪网．http://my.sina.com.cn
[42] 同[18]
[43] 何文锋．信息推送技术对互联网络的影响及发展的对策．http://www.dgnet.com.cn/open/yuekan/4/gaohb-htm
[44] 雷燕．为非网络用户提供网络信息资源服务的探讨．http://61.137.127.169/tsg/20001030/Content/00144827.htm
[45] 邓家缇．智能软件agents技术概述．计算机世界，2000第5期，网络世界版
[46] 殷燕，白庆华．基于MultiAgent技术的信息挖掘系统研究．计算机应用研究1999，12
[47] 路海明，卢增祥等．基于Agent的个性化主动信息服务，计算机工程与应用，1999，6
[48] Bamshad Mobasher, Robert Cooley, etc. Automatic Personalization Based on Web Usage Mining. http://maya.cs.depaul.edu/～mobasher/personalization/
[49] 刘斌．Web Mining：第二代网络信息处理技术，http://news.sohu.com/20000801/100444.html
[50] 全茹．IBM信息挖掘工具．http://www.telelink.com.cn/company/telelink.com.cn/software/cncall/0003.htm
[51] 同[49]
[2] 张晓林，党跃武等．网络化数字化的学术信息交流体系及其影响．图书馆，2000，3
[3] IBM. Web site personalization. http:/www-106.ibm.com/developerworks/library/personalization/
[4] Richard Dean. Personalizing Your Web Site. http://www.builder.com/Business/Personal/index.html
[5] 丁浩，林云．Internet上的个性化信息服务．计算机系统应用，2000，5
[6] 杨宜音等．互联网络个性化信息服务的社会心理学研究．计算机世界，1999，11，01
[7] 丁蔚，倪波．因特网信息服务新模式．情报理论与实践，2000，2
[8] 吴广印，胡亚莉．非结构化网络数据库在图书情报服务中的应用．现代图书情报技术，2001，1
[9] 刘旭，王瑞云．网络环境下大学图书馆的机构变革．大学图书馆学报，1999，1
[10] 张晓林．建立充分支持知识传播和知识创新的校园综合信息服务体系．四川大学学报(哲学社会科学版)，1999，4
[11] James C, Charles L. Personalized Information Environment: An Architecture for Customizable Access to Distributed Digital Libraries. D-Lib Magazine. 1999.6. http://www.dlib.org/dlib/june99/french/06french.html
[12] 同[3]
[13] http://www.amazon.com
[14] 8848网上交易市场．http://www.8848.net
[15] 同[3]
[16] Matt Calkins, Michael Beckley. The Ten Rules of Personalization. http://www.personalization.com/soapbox/contributions/appian.asp
[17] 同[11]
[18] 张晓林．虚拟信息资源系统的用户使用管理．现代图书情报技术，2000，5
[19] 王国荣．Active Server Pages & Web数据库．人民邮电出版社，1993
[20] A. Russell Jones. Active Server Pages 3从入门到精通．电子工业出版社，2000，8
[21] David Gulbransen, Kenrick Rawlings.动态HTML大全．电子工业出版社，1999，1
[22] Collaborative Filtering. http://pespmcl.vub.ac_be/COLLFIT.htm
[23] David Pennock, Eric Horvitz. Collaborative Filtering by Personality Diagnosis: A Hybrid Memory-and Model-based Approach. http://www.neci.nj.nec.com/～lawrence/papers/collab-uai00/bib.html
[24] William W. Cohen, Wei Fan. Web-Collaborative Filtering: Recommending Music by Crawling The Web. http://www9.org/w9cdrom/266/266.html
[25] Anuja Gokhale. Improvements to Collaborative Filtering Algorithms. http://www.cs.wpi.edu/～claypool/ms/cf-improve/html/thesis.html
[26] MIT Media-Lab. Social Information Filtering Algorithms for Automating Word of Mouth. http://www.acm.org/sigchi/chi95/proceedings/papers/us_bdy.htm
[27] James F. Baldwin, Trevor P. Martin, etc. Fuzzy User Modeling In Agents. http://www.enm.bris.ac.uk/research/aigroup/enat/fuzzy-m-doc-final.htm
[28] Fabio A. Asnicar, Massimo Di Fant. User Model-Based Information. Filtering, http://www.dimi.uniud.it/～ift/aiia/html/AI_IA.html
[29] Eftihia Benaki, Vangelis A. Karkaletsis, etc. User Modeling in WWW the UMIE Prototype. http://fit.gmd.de/UM97/Benaki/Benaki.html
[30] 崔雅萍，推送技术．国际电子报，1998第29期，网络世界版
[31] 涂序彦．智能“推—拉”技术．计算机世界2000．04．24第15期，产品与技术版
[32] 王忠民，涂序彦．推送技术的发展与应用．微计算机信息，1999，3
[33] 五种push软件简介．http://extend.hk.hi.cn/～kingsong/htm/push.htm
[34] 同[31]
[35] Hidekazu Sakagami, Tomonari Kamba,etc. Effective personalization of push-type systems— visualizing information freshness. http://decweb.ethz.ch/WWW7/1871/com1871.htm
[36] 同[35]
[37] MyLibrary: Model for Implementing a User-centered Customizabie Interface to a Library's Collection of Information Resources. http://my.lib.ncsu.edu/about/paper/index.html
[38] 张晓林，袁莉等．基于Web的个性化信息服务机制．现代图书情报技术，2001，1．
[39] 网易．http://my.163.com
[40] 赛迪网．http://www.ccidnet.com
[41] 新浪网．http://my.sina.com.cn
[42] 同[18]
[43] 何文锋．信息推送技术对互联网络的影响及发展的对策．http://www.dgnet.com.cn/open/yuekan/4/gaohb-htm
[44] 雷燕．为非网络用户提供网络信息资源服务的探讨．http://61.137.127.169/tsg/20001030/Content/00144827.htm
[45] 邓家缇．智能软件agents技术概述．计算机世界，2000第5期，网络世界版
[46] 殷燕，白庆华．基于MultiAgent技术的信息挖掘系统研究．计算机应用研究1999，12
[47] 路海明，卢增祥等．基于Agent的个性化主动信息服务，计算机工程与应用，1999，6
[48] Bamshad Mobasher, Robert Cooley, etc. Automatic Personalization Based on Web Usage Mining. http://maya.cs.depaul.edu/～mobasher/personalization/
[49] 刘斌．Web Mining：第二代网络信息处理技术，http://news.sohu.com/20000801/100444.html
[50] 全茹．IBM信息挖掘工具．http://www.telelink.com.cn/company/telelink.com.cn/software/cncall/0003.htm
[51] 同[49]