基于知识本体的网络消费行为理论与方法研究
|
摘要
现有电子商务推荐系统不能满足网络条件下大规模网络营销服务的需求,语义本体论和电子商务推荐技术的结合,可以满足网格条件下商品知识、用户需求知识和推荐知识的有效获取、聚合和智能推荐协同工作的要求。通过对基于网络消费行为知识的电子商务智能服务的理论与方法进行研究,可以为大规模、高质量和强实时性要求的分布式电子商务智能服务系统的研发提供理论方法基础。
本文将知识管理与本体论引入网络消费行为研究,提出基于知识本体的网络消费行为(Knowledge Ontology Based Online Consuming Behavior,KOB-OCB)构架模型,将基于网络消费行为知识的电子商务智能服务理论与方法研究分为四级结构:基于WEB的网络消费行为知识挖掘、网络消费行为知识本体表示、网络消费知识本体映射以及基于个性化需求的网络消费服务的智能化推荐,分别研究了基于WEB的网络消费行为知识挖掘算法、网络消费行为知识本体构建的理论与方法、网络消费知识本体映射方法、基于个性化需求的网络消费服务的智能化推荐系统等内容。
本文主要研究内容如下:
相关理论分析与评述。主要阐述了网络消费的基本理论、网络消费与传统消费的对比,对网络消费行为影响因素进行分析,探讨了基于电子商务的网络消费方式。
网络消费知识挖掘原理与方法研究。分析了网络消费知识挖掘的基本概念;结合基于WEB的用户发现理论,设计了基于网络消费知识库的挖掘算法。
网络消费行为知识表示研究。研究了网络消费行为知识的表示方法,探讨了网络消费本体模型、网络消费本体构建、基于网络消费领域本体的知识表示、基于WEB的电子商务本体自动构建方法等内容,分析了电子商务本体主干构建、基于WEB页面电子商务概念抽取等理论问题,构建了网络消费行为知识本体模型和实例。
网络消费行为知识本体映射研究。研究了网络消费行为知识本体映射方法、网络消费行为知识本体映射过程、网络消费行为知识本体映射规则,为网络消费行为知识本体的应用奠定了基础。
网络消费行为知识服务研究。研究了基于本体的网络消费需求与个性化服务、基于知识的网络消费个性化服务原理、基于知识的网络消费个性化服务(Knowledge Ontology Based Online Consuming Recommender System,KOB-OCRS)的知识表示方法、基于知识的网络消费个性化服务的知识获取方法、基于知识的网络消费个性化服务系统推理机制与推荐结果的产生等内容,剖析了基于知识的网络消费个性化服务策略的自适应选择问题。
Current recommender systems cannot meet the demand of large-scale online marketing in the distributed environment. The semantic ontology technologies and electronic recommendation technologies together can be exploited to realize the effective acquisition and fusion of the knowledge of products, user requirements and recommendation function, and can further realize the synergized collaboration of constituents of the recommender systems. This dissertation researches on the basic theory and methodology of intelligent electronic commerce recommendation based on the online consuming behavior knowledge which we hope to provide the fundamental support in theory and methodology for developing highly responsive and effective recommender systems for large-scale electronic commerce in distributed environments.
This paper introduce knowledge management and ontology into the studying of online consuming behavior, and constructed a now framework - Knowledge Ontology based Online Consuming Behavior (KOB-OCB). The research on the theory and methodology based on the online consuming behavior knowledge is subdivided into four levels which are correlated with each other closely. The first is the online consuming behavior knowledge mining based on WEB. The second is the representation of knowledge for online consuming behavior knowledge. The third is the theory and method of construction for online consuming behavior. And the last is the intellectual recommender of online consuming service based on self-demand. This dissertation studied the mining arithmetic of the online consuming behavior knowledge, designed theory and methodology of ontology construction of the online consuming behavior knowledge, researched intellectual recommender systems based on self-demand of online consuming service based.
The main content of the dissertation as follows:
The relative theories were introduced which include the basic theory of the online consuming, constructed the different between online consuming and traditional consuming, analysised the affected factors of online consuming behavior, discussed the patterns of online consuming based on electronic commerce.
We studied the theory and methodology of online consuming behavior knowledge mining in this dissertation, discussed the basic concept of online consuming knowledge, and studied the mining arithmetic based on online consuming knowledge pool.
We studied the representation of online consuming behavior knowledge, researched the representation method of online consuming behavior knowledge, discussed the ontology model of online consuming, the ontology construction of online consuming, the knowledge representation based on domain ontology of online consuming, analysised the main construction of electronic commerce, concept taken out of electronic commerce was discussed, at last, this dissertation constructed a ontology model of online consuming behavior knowledge.
We studied the ontology mapping of online consuming behavior knowledge, researched the methods of ontology mapping of online consuming behavior knowledge, the process of ontology mapping of online consuming behavior knowledge, the regulation of ontology mapping of online consuming behavior knowledge, and provided the base for the application of ontology of online consuming behavior knowledge.
We also studied the knowledge service, online consuming demand and self-service based on ontology, self-service theory of online consuming, knowledge acquisition and representation of online consuming, reasoning mechanism and recommend results of self-service were discussed. At last, self-adapted choosing of self-service tactics of online consuming was taken part.
本文将知识管理与本体论引入网络消费行为研究,提出基于知识本体的网络消费行为(Knowledge Ontology Based Online Consuming Behavior,KOB-OCB)构架模型,将基于网络消费行为知识的电子商务智能服务理论与方法研究分为四级结构:基于WEB的网络消费行为知识挖掘、网络消费行为知识本体表示、网络消费知识本体映射以及基于个性化需求的网络消费服务的智能化推荐,分别研究了基于WEB的网络消费行为知识挖掘算法、网络消费行为知识本体构建的理论与方法、网络消费知识本体映射方法、基于个性化需求的网络消费服务的智能化推荐系统等内容。
本文主要研究内容如下:
相关理论分析与评述。主要阐述了网络消费的基本理论、网络消费与传统消费的对比,对网络消费行为影响因素进行分析,探讨了基于电子商务的网络消费方式。
网络消费知识挖掘原理与方法研究。分析了网络消费知识挖掘的基本概念;结合基于WEB的用户发现理论,设计了基于网络消费知识库的挖掘算法。
网络消费行为知识表示研究。研究了网络消费行为知识的表示方法,探讨了网络消费本体模型、网络消费本体构建、基于网络消费领域本体的知识表示、基于WEB的电子商务本体自动构建方法等内容,分析了电子商务本体主干构建、基于WEB页面电子商务概念抽取等理论问题,构建了网络消费行为知识本体模型和实例。
网络消费行为知识本体映射研究。研究了网络消费行为知识本体映射方法、网络消费行为知识本体映射过程、网络消费行为知识本体映射规则,为网络消费行为知识本体的应用奠定了基础。
网络消费行为知识服务研究。研究了基于本体的网络消费需求与个性化服务、基于知识的网络消费个性化服务原理、基于知识的网络消费个性化服务(Knowledge Ontology Based Online Consuming Recommender System,KOB-OCRS)的知识表示方法、基于知识的网络消费个性化服务的知识获取方法、基于知识的网络消费个性化服务系统推理机制与推荐结果的产生等内容,剖析了基于知识的网络消费个性化服务策略的自适应选择问题。
Current recommender systems cannot meet the demand of large-scale online marketing in the distributed environment. The semantic ontology technologies and electronic recommendation technologies together can be exploited to realize the effective acquisition and fusion of the knowledge of products, user requirements and recommendation function, and can further realize the synergized collaboration of constituents of the recommender systems. This dissertation researches on the basic theory and methodology of intelligent electronic commerce recommendation based on the online consuming behavior knowledge which we hope to provide the fundamental support in theory and methodology for developing highly responsive and effective recommender systems for large-scale electronic commerce in distributed environments.
This paper introduce knowledge management and ontology into the studying of online consuming behavior, and constructed a now framework - Knowledge Ontology based Online Consuming Behavior (KOB-OCB). The research on the theory and methodology based on the online consuming behavior knowledge is subdivided into four levels which are correlated with each other closely. The first is the online consuming behavior knowledge mining based on WEB. The second is the representation of knowledge for online consuming behavior knowledge. The third is the theory and method of construction for online consuming behavior. And the last is the intellectual recommender of online consuming service based on self-demand. This dissertation studied the mining arithmetic of the online consuming behavior knowledge, designed theory and methodology of ontology construction of the online consuming behavior knowledge, researched intellectual recommender systems based on self-demand of online consuming service based.
The main content of the dissertation as follows:
The relative theories were introduced which include the basic theory of the online consuming, constructed the different between online consuming and traditional consuming, analysised the affected factors of online consuming behavior, discussed the patterns of online consuming based on electronic commerce.
We studied the theory and methodology of online consuming behavior knowledge mining in this dissertation, discussed the basic concept of online consuming knowledge, and studied the mining arithmetic based on online consuming knowledge pool.
We studied the representation of online consuming behavior knowledge, researched the representation method of online consuming behavior knowledge, discussed the ontology model of online consuming, the ontology construction of online consuming, the knowledge representation based on domain ontology of online consuming, analysised the main construction of electronic commerce, concept taken out of electronic commerce was discussed, at last, this dissertation constructed a ontology model of online consuming behavior knowledge.
We studied the ontology mapping of online consuming behavior knowledge, researched the methods of ontology mapping of online consuming behavior knowledge, the process of ontology mapping of online consuming behavior knowledge, the regulation of ontology mapping of online consuming behavior knowledge, and provided the base for the application of ontology of online consuming behavior knowledge.
We also studied the knowledge service, online consuming demand and self-service based on ontology, self-service theory of online consuming, knowledge acquisition and representation of online consuming, reasoning mechanism and recommend results of self-service were discussed. At last, self-adapted choosing of self-service tactics of online consuming was taken part.
引文
[1]迈克尔.沙利文.特雷纳.信息高速公路[M].北京.北京科学技术出版社.1995.191-197
[2]李承安、徐红军.论我国网络消费的现状及发展策略[J].商场现代化.2007(1).89-90
[3]http://www.lightcity.cn/club/dispbbs.asp?boardid=188&id=19760
[4]Reichheld,F.F.& Sasser,Jr,We.(1990).Zero defections.Quality comes to services,Harvard business review,68,pp.105-111
[5]Reichheld,F.F.,and Schefter,P."E-Loyalty:Your Secret Weapon on the Web,"Harvard Business Review(78:4).2000.pp.105-113.
[6]黎星星、黄小琴、朱庆生.电子商务推荐系统研究[J].计算机工程与科学.2004.26(5).7-10
[7]M.Cannataro et al.,"A Data Mining Toolset for Distributed High-Performance Platforms,"Proc.3rd Int'l Conf.Data Mining 2002,Wessex Inst.Press,2002,pp.41-50.
[8]Cannataro and D.Talia,"KnowledgeGrid:An Architecture for Distributed Knowledge Discovery," Comm.ACM,vol.46,no.1,Jan.2003,pp.89-93.
[9]Hai Zhuge.China's E-science knowledge grid environment[J].Intelligent Systems,IEEE,Jan.-Feb.Volume:19,Issue 1,2004:13- 17.
[10]Stigler G.Economics of Information[J].Journal of Political Economy.1961.213-225.
[11]K.J.Arrow.The Economics of Information[M].Basi Black well Limited.Washington.DC.USA.1984.112-131.
[12]比尔.盖茨.未来之路[M].北京大学出版社.1996.241.
[13]T.G.Lewis.The Friction-Free Economy.Marketing Strategies for A Wired World[M]Arts&Licensing International.Inc.1997.8.
[14]姜奇平.数字财富[M].海洋出版社.1999.54
[15]Hagel.A.G.Armstrong.NetGain.Expanding Markets Trough Virtual Communities[M].Published by arrangement with Harvard Business School Press.1997.28.
[16]DaleNeef.The Knowledge Economy[M].Butterworth Heinemann.1998.101.
[17]何培忠.中日韩生活观调查结果报告书[R].亚洲论坛.2005年东亚信息产业与经济发展研讨会;1997.10-16.
[18]李智勇.信息化对我国城市居民消费行为的影响及对策研究[D].哈尔滨工业大学.1998.
[19]陈南.关于信息消费的思考[J].未来与发展.1999(1).100
[20]谢康.微观信息经济学[M].广州.中山大学出版社.1995.197.
[21]A.L.Norman.Information Society.An Economic Theory of Discovery.Information and Innovation[M].Klrwer Academic Publishers.1993.186.
[22]J.Naisbitt.Megatrends-Ten New Directions Transforming Our Lives[M].William Norrow Co.1982.79.
[23]W.D.Wells.D.Prensky.Consumer Behavior[M].John Wiley&Sons.Inc.1965.5.
[24]贺修铭.信息消费概念的确立及其理论基础[J].图书情报工作.1996.(4).45
[25]让-雅克.塞尔旺-施赖贝尔.世界面临挑战[M].人民出版社.1982.45.
[26]利亚姆.班农.信息社会[M].上海译文出版社.1991.59-60.
[27]方弩.网络化社会.一种生存哲学[J].中国青年科技.2003(11).51-53
[28]R.N.Barger.In Search of A Common Rationale for Computer Ethics.Read at the Third Annual Computer Ethics Institute Confere.The Brooking Institution.Washington.1994.(86)
[29]Crosby,L.A.,Evans,K.R.,and Cowles,D.(1990),"Relationship quality in service selling:An interpersonal influence perspective," Journal of Marketing,Vol.54(3),p.p.68-80.
[30]Sheth R A.Transactional workflows:research,enabling technologies and applications(invited talk).In:Proc the 10th International Conference on Data Engineering,Houston,1994
[31]Oliver Williamson,The Economic Institution of Capitalism(M),chap.6
[32]Jack A Lesser.Lakshmi K Thumuluri.William T Kirk.Toward a psychological interpretation of the integration of shopping functions[J]..Management Research News.Patrington..Vol.1998.21(7/8).1-19.
[33]Giese.Joan L.and Joseph A.Cote..Defining Consumer Satisfaction[J].Academy of Marketing Science Review.Vancouver.Vol.2000.1-18.
[34]Steven S.Posavac.David M.Sanbonmatsu.Edward A.Ho.The Effects of the Selective Consideration of Alternatives on Consumer Choice and Attitude-Decision Consistency.Journal of Consumer Psychology 2002.12(3).203-216.
[35]John Goodman.Steve Newman.Understand customer behavior and complaints[J].Quality Progress.Milwaukee.Jan.2003.36(1).51-54.
[36]罗子明.国内消费者心理研究概况[J].北京工商大学学报(社会科学版).2003(3).11-15.
[37]李忠艳.电子商务中的消费心理浅析[J].商业研究.2004(11).55-58.
[38]肖崇好.网络心理的研究方法问题[J].心理科学.2004.27(3).726-728.
[39]柯青.网络消费者购买行为模式研究[J].华中师范大学硕士学位论文.2004.
[40]李东进、金玉华、秦勇.WOM信息依赖性及其影响因素的实证研究——以我国消费者为例[J].管理学报.2005.2(1).90-97.
[41]Katherine White etc.To Be or Not Be? The Influence of Dissociative Reference Groups on Consumer Preferences.Journal of Consumer Psychology.2006.16(4).404-414.
[42]Barbara Loken.Consumer Psychology.Categorization.Inferences.Affect.and Persuasion.Annual Review of Psychology 2006(57).453-485.
[43]Efthymios Constantinides.Influencing the online consumer's behavior,the WEB experience[J].Internet Research.Bradford..2004.14(2).111-116.
[44]Tamimi.N..Rajan.M.and Sebastianelli.R..The state of online retailing[J].Intemet Research.Applications and Policy.2003.13(3).146-155.
[45]Watchfire Whitepaper Series(2000).Bad things shouldn't happen to good WEB sites,best practices for managing the WEB experience[J].available at.http://www.watchfire.corn/resources/search-and-ye-shall-find.pdf.
[46]Cheung.C.M.K..Zhu.L.Kwong.T..Chan.G.W.W.and Limayem.M..Online consumer behavior,a review and agenda for future research[C].Proceedings of the 16th Bled eCommerce Conference.Bled.9-11 June.2003.
[47]O'Cass.A.and Fenech.T..WEB retailing adoption,exploring the nature of Internet users'WEB retailing behaviour[J].Journal of Retailing and Consumer Services.2003(10).81-94.
[48]Kotler.P..Marketing Management(11th ed)[M].Prentice-Hall International Editions.Englewood Cliffs.NJ.2003.
[49]Gr?nroos.C..From marketing mix to relationship marketing - towards a paradigm shift in marketing[J].Management Decision.1994(32).4-20.
[50]Lee.P-M..Behavioral model of online purchasers in e-commerce environment[J].Electronic Commerce Research.2002(2).75-85.
[51]Tybout.Alice M.Artz.Nancy..Consumer psychology[J].Annual Review of Psychology..Palo Alto..1994.(45).pp.131-169.
[52]Magnus Soderlund.Customer satisfaction and its consequences on customer behaviour revisited The impact of different levels of satisfaction on word-of-mouth,feedback to the supplier and loyalty[J].International Journal of Service Industry Management.Bradford..1998.9(2).169-175.
[53]Susan Sproule.Norm Archer.A buyer behaviour framework for the development and design of software agents in e-commerce[J].Internet Research.Electronic Networking Applications and Policy.2000.10(5).396-405.
[54]Marios Koufaris.Applying the technology acceptance model and flow theory to online consumer behavior[J].Information Systems Research.Linthicum.Jun.2002.13(2).205-224.
[55]Ogden.Denise T..James R.Ogden.and Hope Jensen Schau.Exploring the Impact of Culture and Acculturation on Consumer Purchase Decisions.Toward a Microcultural Perspective[J].Academy of Marketing Science Review.Vancouver..Vol.2004.22-29.
[56]Pimentel.Robert W.and Kristy E.Reynolds.A Model for Consumer Devotion.Affective Commitment with Proactive Sustaining Behaviors[J]Academy of Marketing Science Review.Vancouver..Vol.2004.1-16.
[57]黎志成、刘枚莲.电子商务环境下的消费者行为研究[J].中国管理科学.2002.10(6).88-91.
[58]彭军锋.顾客满意与顾客忠诚的一个规范解释[J].商业研究.2003.(19).38-42.
[59]Liao.Z.and Cheung.M.T..Internet-based e-shopping and consumer attitudes,an empirical study[J].Information and Management.2001(38).299-306.
[60]Liu.C.and Arnett.K.P..Exploring the factors associated with WEB site success in the context of electronic commerce[J].Information and Management.2000(38).23-33.
[61]Joines.J.L..Scherer.C.W.and Scheufele.D.A..Exploring motivations for consumer WEB use and their implications for e-commerce[J].Journal of Consumer Marketing.2003(20).pp.90-108.
[62]McKnight.D.H..Choudhury.V.and Kacmar.C..The impact of initial consumer trust on intentions to transact with a WEB site.a trust-building model[J].The Journal of Strategic Information Systems.2002.(11).297-323.
[63]Irene S.Y.Kwan A Mental Cognitive Model Of WEB semantic for e-Customer Profile.Proceedings of the 13th International Workshop on Database and Expert Systems Applications.IEEE.2002.116-120.
[64]何明升.网络消费方式的内在结构及其形成机理[J].哈尔滨工业大学(社科版).Vol. 4(1). 44-47.
[65] Balabanis. G. Reynolds. N. & Simintiras. A. Bases of e-store loyalty. Perceived switching barriers and satisfaction^]. Journal of Business Research. 2006(59). 214-224
[66] Konstan. J. Recommender System Research. Perspective and Thoughts. Keynote Address. Workshop on Recommender Systems. Algorithms and Evaluation. 1999. Berkeley. California.
[67] CLAYPOOL. M.. GOKHALE. A.. AND MIRANDA. T. Combining content-based and collaborative filters in an online newspaper. In. Proceedings of the 22nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'99) (Berkeley. Calif. ).ACM. New York.
[68] Cyrus Shahabi. et al. Yoda. An Accurate and Scalable WEB-based Recommendation System. In. Proceedings of the Sixth International Conference on Cooperative Information Systems.Trento. Italy. September 2001.418-432
[69] BAMSHAD MOBASHER. et al. Discovery and Evaluation of Aggregate Usage Profiles for WEB Personalization. Data Mining and Knowledge Discovery. 2002(6). 61-82
[70] R. Burke. K. Hammond, and B. C. Young. The FindMe Approach to Assisted Browsing. Journal of IEEE Expert. 1997. 12(4). 32-40
[71] Burke. R. Hybrid Recommender Systems. Survey and Experiments. User Modeling and User-Adapted Interaction. 2002. 12(4). 331-370.
[72] Stuart E. Middleton. Nigel R. Shadbolt. David C. DE Roure. Ontological User Profiling in Recommender Systems. ACM Transactions on Information Systems. 2004. 22(1). 54-88
[73] Eero Hyvnen. Samppa Saarela. and Kim Viljanen. Application of Ontology Techniques to View-Based Semantic Search and Browsing. In. J. Davies et al. (Eds. ). ESWS 2004. LNCS 3053. 2004. 92-106.
[74] MAREK HATALA and RON WAKKARY Ontology-Based User Modeling in an Augmented Audio Reality System for Museums. User Modeling and User-Adapted Interaction . 2005(15). 339-380
[75] J. Ben Schafer. Joseph A. Konstan. John Riedl. Meta-recommendation Systems. User-controlled Integration of Diverse Recommendations. In. CIKM'02. McLean. Virginia. USA. November 4-9. 2002. 43-51
[76] T. Joachims. D. Freitag. T. Mitchell. WEBWatcher. A Tour Guide for the World Wide WEB . Proceedings of IJCAI97. August 1997
[77] Daniel Siaw Weng Ngu . SiteHelper. A Localized Agent that Helps Incremental Exploration of the World Wide WEB. http://www. cs. uvm. edu/~xwu/Publication/SiteHelper. html
[78] H Mannila. H Toivonen. AI Verkamo. Discovering Frequent Episodes in Sequnces[C]. In. Proc Of the First Int'l Conference on Knowledge Discovery and Data Mining (KDD95). Montreal.Quebec. 1995.210-215
[79] Chen M-S. et al. Data Mining for Path Traversal Patterns in a WEB Environment[C]. In.Proc. Of the 16th Intl Conf. Of Distributed Computing System. 1996. 385-392
[80] Perkowitz M. Etzioni 0. Adaptive WEB sites, an Al challengae. In. Proc. of the Fifteenth Intl. Joint Conf. on Artificial Intelligence. 1997
[81] Han J W. Proc. 1997 IFIP Conference on Data Semantics(DS-7). Leysin. Switzerland. 1997. 1
[82]J Borges.M Levene.Data mining of user navigation patterns.The WEB Usage Analysis and User Profiling Workshop.San Diego.California.1999
[83]金刚、左万利.有序概念格与www用户访问模式的增量挖掘[J].计算机研究与发展.2003.40(5).675-683
[84]董一鸿、庄越挺.基于新型的竞争型神经网络的WEB日志挖掘[J].计算机研究与发展.2003.40(5).621-667.
[85]Soe-Tsyr Yuan and Chiahsin Cheng."Ontology-Based Personalized Couple Clustering for Heterogeneous Product Recommendation in Mobile Marketing".Expert Systems with Applications.Vol.26(4).P.461-476.May.2004.(SCI)
[86]余力、刘鲁、李雪峰.用户多兴趣下的个性化推荐算法研究[].计算机集成制造系统.2004.10(12).1610-1615.
[87]陈冬林、聂规划、刘平峰.基于网页语义相似性的商品隐性评分算法研究[J].系统工程理论与实践.2006(12)
[88]费爱国.王新辉.一种基于WEB日志文件的信息挖掘方法[J].计算机应用.2004.24(6).57-59
[89]ZAIANE O R.XIN M.HAN J.Discovering WEB Access Pattern and Trends by Aapplying OLAP and Data Mining Technology on WEB Logs[A].In.Proc of Advances in Digital Libraries[C].CA.IEEE.1998.19-29
[90]LIUB.HSUW.MAY.Mining Association Rules with Multiple Minimum Supports[A].In.Proc of the ACM SIGKDD Intl Conf on Knowledge Discovery and Data Mining(KDD'99.Poster)[C].USA.ACM Press.1999.337-341
[91]柴玉梅、王宇.基于TFIDF的文本特征选择方法[J].微计算机信息.2006.(24).41-45
[92]吴满意、谢海蓉.论网络消费[J].电子科技大学学报社科版.2000(3).21-23
[93]柳卸林.知识经济导论[M].经济管理出版社;1998.67
[94]托夫勒.未来的冲击[M].中信出版社.2006.48
[95]加里·贝克尔.家庭经济分析[M].华夏出版社.1987.5
[96]肖霞.现代化标准的具体化——企业管理实践现代化的前提[J].经济师.2005(4).148-149
[97]何明升.关于网络消费的理论解说[J].淮阴师范学院学报.2002(5).610-613
[98]何明升、李一军.网络消费的基本特点及其对传统经济理论的突破[J].学术交流.2001(2).105-108
[99]唐麒.浅谈网络经济中梅特卡大法则及其应用[J].无锡职业技术学院学报.2006(3).46-48
[100]张贵明.网络时代的传播及其对传统传播理论的影响[J].科技情报开发与经济.2003(5)
[101]司马銮.当代西方消费者行为定义研究[J].国外社会科学.1996.(5).
[102]David L.Laton & All port J.D.Bitta.Consumer Behavior[M].1984.1.
[103]Leon G.Schiffman & Leslie L.Kanuk.Consumer Behavior[M].1987.3
[104]楚尔鸣、何恒远.基于网络经济的传统消费理论评析[J].山东经济.2002(6).3-5
[105]张衡.一种基于零售行业的电子商务解决方案[J].华中科技大学研究生学报.2000(1).50-55.
[106]沈玉春、沈红芳..“网络泡沫现象”引发的思考[J].中国软科学.2001(2).58-62.
[107]刘劲松.“数码鸿沟”对世界、亚洲和中国的挑战[J].世界经济与政治.2001(4).4-9
[108]曼纽尔·卡斯特.网络社会的崛起[M].社会科学文献出版社.2001.19
[109]吴卫华.电子商务不是技术经济[N].光明日报.2001-4-18(4)
[110]Gruber T R.A Translation Approach to Portable Ontology Specifications[J].Knowledge Acquistion.1993.5.199-220
[111]Borst W N.Constrution of Engineering Ontologies for Knowledge Sharing and Reuse.[PhD thesie].Univerity ofTwente.Enschede.1997
[112]Studer R.Benjiamins V R.Fensel D.Knowledge Engineering.Principles and Methods[J].Data and Knowledge Engineering.1998.25(1-2).161-197
[113]Neches R.Fikes R E.Gruber T R.et al.Enabling technology for knowledge sharing[J].AI Magazine.1991.12(3).36-56
[114]韩家炜.孟小峰。WEB挖掘研究[J]。计算机研究与发展.2001.405-414
[115]张娥、冯耕中、郑斐峰.WEB用户访问日志数据挖掘研究[J].情报技术.2003.22(9).48-50
[116]PHILL IPMHB.BRIAN B.Extended Log File Format[EB/OL].http://www.w3.org/pub/WWW/TR/WD-Iogfile.html.2006-04-02
[117]余力、刘鲁.我国电子商务推荐策略的比较分析[J].系统工程理论与实践.2004.24(8).96-101
[118]J.Goecks and J.W.Shavlik.Leaming Users' Interests by Unobtrusively Observing Their Normal Behavior[C].In Proceedings of the ACM Intelligent User Interfaces Conference(IUI).Jan.2000.
[119]Mobasher B.Dai H.Luo T.et al.Discovery of aggregate usage profiles for WEB personalization[C].International Conference on Knowledge Discovery and Data Mining.Boston.2000
[120]Mark Claypool.Phong Le.Makoto Wased and David Brown.Implicit Interest Indicators[C].IUI'01.January 14-17.2001.Santa Fe.New Mexico.USA.
[121]王勋、凌云、费玉莲.基于WEB日志和缓存数据挖掘的电子商务推荐系统[J].情报学报.2005.24(3).324-328
[122]X Fu.J Budazik.K J Hammond.Mining navigation history for recommendation[C].In.Proc of the International Conf on Intelligent User Interfaces.ACM.New Orleans.LA.ACM.2000.106-112
[123]Qiubang Li.Rajiv Khosla.An Adaptive Algorithm for Improving Recommendation Quality of E-Recommendation Systems[C].CIMS2003.International Symposium on Computational Intelligence for Measurement Systems and Applications.Lugano.Switzerland.29-31.July 2003.109-203
[124]高琳琦、李龙洙.基于顾客行为的产品推荐方法[J].计算机工程与应用.2005(3).188-190
[125]梁邦勇、李涓子、王克宏.基于语义WEB的网页推荐模型[J].清华大学学报(自然科学版).2004.44(9).1272-1276
[126]崔林.宋瀚涛.陆玉昌.基于语义相似性的资源协同过滤技术研究[J].北京理工大学学报.2005.25(5).402-405
[127]Robin Burke.Semantic ratings and heuristic similarity for collaborative filtering.2000. http://www.igec.umbc.edu/kbem/final/burke.pdf
[128]Budanitsky.Alexander and Hirst.Graeme.Evaluating WordNet-based measures of semantic distance[J].Computational Linguistics.32(1).March 2006.13-47.
[129]Yuhua Li.Zuhair A.Bandar.and David McLean.An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources[C].IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING.VOL.15.NO.4.JULY/AUGUST 2003
[130]陈晓明、周渝.基于知网的文本标注[J].贵州大学学报(自然科学版).2001.(03).9-13
[131]徐建斌、施亚东.基于概念的文本自动分类研究的综述[J].福建电脑.2005.(02).49-52
[132]代六玲、黄河燕、陈肇雄..中文文本分类中特征抽取方法的比较研究[J].中文信息学报.2004.(01).123-126
[133]张俐、李晶皎、胡明涵、姚天顺.中文WordNet的研究及实现[J].东北大学学报(自然科学版).2003.(04).147-150
[134]Schauβ S.Smolka G.Attributive Concept Descriptions with Complements.Artificial Intelligence.1991.48(1).1-26
[135]梅立军、周强、臧路、陈祖舜.知网与同义词词林的信息融合研究[J].中文信息学报.2005.(01).47-49
[136]Matthew Horridge.Holger Knublauch.Alan Rector.Robert Stevens Chris Wroe.A Practical Guide to Building OWL Ontologies Using the Prot(?)g(?)-OWL Plugin and CO-ODE Tools.The University Of Manchester.2004.8
[137]李善平、尹奇、胡玉杰等.本体论研究综述[J].计算机研究与发展.2004(7).1041-1052
[138]David De Roure.Nieholas R.Jennings.Nigel R.Shadbolt.Researeh Agenda for the Semantie Grid.A Futuree—SeieneeInfrastrueture.http://www.semanticgrid.org/html/semgrid.html.Deeember 2001
[139]陈冬林、聂规划、刘平峰.基于知识网格的电子商务推荐系统设计[J].计算机应用研究.2006.(12).58-59
[140]蔡登、卢增祥、李衍达.信息协同过滤[J].计算机科学.2002.(06).14-16
[141]Xiangjun Fu.et al.Methodology for Semantic Representing of Product in XML.In.C.-H.Chi and K.-Y.Lam(Eds.).AWCC 2004.LNCS 3309.2004.380-387.
[142]Hyunja Lee.Junho Shim.Dongkyu Kim.Ontological Modeling of e-Catalogs using EER and Description Logics.In.Proceedings of the 2005 International Workshop on Data Engineering Issues in E-Commerce.2005.125-131.
[143]张月雷、左洪福.基于本体的案例表示和CBR系统结构研究[J].山东理工大学学报(自然科学版).2006.(04).48-51
[144]周凯波、金斌、周剑岚、冯珊.基于XML的面向对象案例表示方法[J].武汉理工大学学报(信息与管理工程版).2005.(03).78-79
[145]吴强、宋益大..基于本体的领域知识表示和信息检索的方法研究[J].绍兴文理学院学报(自科版).2005.(02).6
[146]刘平峰、聂规划、陈冬林.电子商务推荐系统中推荐策略的自适应性[J].计算机工程与应用.2007.(04).24-29
[147]应杭等.本体在产品知识S-B-F表达模型中的应用研究[J].计算机集成制造系统. 2004.10(专刊).30-38
[148]Xiangjun Fu.et al.Ontological Driven Product Knowledge Representation.In.Proceedings of the 5'World Congress on Intelligent Control and Automation.June 15-19.2004.2809-2813.
[149]杜小勇.李曼、王大治.语义WEB与本体研究综述.计算机应用.2004.24(10).14-16.20.
[150]王伟达、芦东昕、孟照星.关系数据库与XML的双向数据传输的机制与实现.计算机应用研究.2005(2).164-166
[151]Fong.J..Pang.F..Bloor.C.Converting relational database into XML document.In.Proceedings of 12th International Workshop on Database and Expert Systems Applications.3-7 Sept.2001.61-65
[152]孙景广、蔡东风、吕德新、董燕举.基于知网的中文问题自动分类[J].中文信息学报.2007.(01).110-113
[153]Man Li.Xiao-Yong Du.Shan Wang.Learning ontology from relational database.In.Proceedings of 2005 International Conference on Machine Learning and Cybernetics.2005.Vol 6.18-21 Aug.2005.3410-3415
[154]Quang Trinh.Barker.K..Alhajj.R.RDB2ONT.A Tool for Generating OWL Ontologies From Relational Database Systems.In.Prodeedings of International Conference on Internet and WEB Applications and Services/Advanced International Conference on Telecommunications.19-25Feb.2006.170-178
[155]张锋、常会友.使用BP神经网络缓解协同过滤推荐算法的稀疏性问题.计算机研究与发展.2006.43(4).667-672
[156]邓爱林、朱扬勇、施伯乐.基于项目评分预测的协同过滤推荐算法.软件学报.2003.14(9).1621-1628
[157]Yong Soo Kim.et al.Development of a recommender system based on navigational an behavioral patterns of customers in e-commerce sites.Expert System with Applications.2005(28).381-393
[158]Yoon Ho Cho.Jae Kyeong Kim and Soung Hie Kim.A personalized recommender system based on WEB usage mining and decision tree induction.Expert Systems with Applications.2002.23(3).329-342
[159]Kyung-Yong Jung.Kee-Wook Rim.and Jung-Hyun Lee.Automatic Preference Mining through Learning User Profile with Extracted Information.In.A.Fred et al.(Eds.).SSPR&SPR 2004.LNCS 3138.2004.815-823
[160]Junzhong Ji.Zhiqiang Sha.Chunnian Liu.Online Recommendation Based on Customer Shopping Model in E-Commerce.In.Proceedings of IEEE/WIC International Conference on WEB Intelligence.13-17 Oct.2003.68-74
[161]Chunyan Miao.et al.Fuzzy Cognitive Agents for Personalized Recommendation.Proceedings of the 3rd International Conference on WEB Information Systems Engineering.12-14Dec.2002.362-371
[162]Maria Salam(?).et al.Knowledge Discovery from User Preferences in Conversational Recommendation.In.A.Jorge et al.(Eds.).PKDD 2005.LNAI 3721.2005.228-239
[163]Rajanish Dass and Ambuj Mahanti.An Efficient Real-Time Frequent Pattern Mining Technique Using Diff-Sets.In.V.S.Sunderam et al.(Eds.).ICCS 2005.LNCS 3516.2005.818-821
[164]Zhou.B..Hui.S.C..Chang.K..An intelligent recommender system using sequential WEB access patterns.In.IEEE Conference on Cybernetics and Intelligent Systems.Vol.1.1-3 Dec.2004.393-398
[165]Barry Smyth.et al.Compound Critiques for Conversational Recommender Systems.In.Proceedings of the IEEE/WIC/ACM International Conference on WEB Intelligence(WI'04).2004.145-151
[166]Pingfeng Liu.Guihua Nie.and Dongli Chen.Towards Semantic Description of User Requiements in Recommender Systems.In.Proceedings of the Fifth Wuhan International Conference on E-Business.May 27.2006.509-515
[167]MIQUEL MONTANER.et al.A Taxonomy of Recommender Agents on the Internet.Artificial Intelligence Review.2003(19).285-330
[168]Skowron A.Rough sets in KDD[R].Special Invited Speaking.WCC 2000 in Beijing.2000.
[169]王国胤、于洪、杨大春.基于条件信息熵的决策表约简[J].计算机学报.2002.25(7).759-766.
[170]常梨云、王国胤、吴渝.一种基于Rough Set理论的属性约简及规则提取方法[J].软件学报.1999.10(11).1206-1211.
[171]Schmidt Schaub.G.Smolka.Attribute Concept Descriptions with Unions and Completeness[R].SEKI Report SR288221.
[172]Horrocks I.DAML+OIL.A description logic for the semantic WEB.Bull of the IEEE Computer Society Technical Committee on Data Engineering.2002.25(1).4-9
[173]Horrocks I.Peter F.Patel-Schneider.Reducing OWL entailment to description logic satisfiability.In.Fensel D.Sycara D.Mylopoulos D.ed.Proc of the 2003 International Semantic WEB Conference(ISWC 2003).Berlin.Springer.2003.17-29
[174]Baader F.Horrocks I.Sattler U.Description logics as ontology languages for the semantic WEB.In.Dieter Hutter and Werner Stephan.ed.Festschrift in honor of J?rg Siekmann.Berlin.Springer.2003
[175]梅靖、林作栓.从ALC到SHOQ(D).描述逻辑及其Tableau算法..计算机科学.2005.32(3).1-11.35
[176]John Benjamin Schafer.MetaLens.A Framework for Multi-source Recommendations.[PHd.Dissertation].Twin Cties.University of Minnesota.2001
[177]杨行峻、郑君里.人工神经网络与盲信号处理.北京.清华大学出版社.2003年1月.137-148
[178]刘平峰.基于知识网格的电子商务智能推荐理论方法研究.武汉理工大学博士学位论文.2006年11月
[2]李承安、徐红军.论我国网络消费的现状及发展策略[J].商场现代化.2007(1).89-90
[3]http://www.lightcity.cn/club/dispbbs.asp?boardid=188&id=19760
[4]Reichheld,F.F.& Sasser,Jr,We.(1990).Zero defections.Quality comes to services,Harvard business review,68,pp.105-111
[5]Reichheld,F.F.,and Schefter,P."E-Loyalty:Your Secret Weapon on the Web,"Harvard Business Review(78:4).2000.pp.105-113.
[6]黎星星、黄小琴、朱庆生.电子商务推荐系统研究[J].计算机工程与科学.2004.26(5).7-10
[7]M.Cannataro et al.,"A Data Mining Toolset for Distributed High-Performance Platforms,"Proc.3rd Int'l Conf.Data Mining 2002,Wessex Inst.Press,2002,pp.41-50.
[8]Cannataro and D.Talia,"KnowledgeGrid:An Architecture for Distributed Knowledge Discovery," Comm.ACM,vol.46,no.1,Jan.2003,pp.89-93.
[9]Hai Zhuge.China's E-science knowledge grid environment[J].Intelligent Systems,IEEE,Jan.-Feb.Volume:19,Issue 1,2004:13- 17.
[10]Stigler G.Economics of Information[J].Journal of Political Economy.1961.213-225.
[11]K.J.Arrow.The Economics of Information[M].Basi Black well Limited.Washington.DC.USA.1984.112-131.
[12]比尔.盖茨.未来之路[M].北京大学出版社.1996.241.
[13]T.G.Lewis.The Friction-Free Economy.Marketing Strategies for A Wired World[M]Arts&Licensing International.Inc.1997.8.
[14]姜奇平.数字财富[M].海洋出版社.1999.54
[15]Hagel.A.G.Armstrong.NetGain.Expanding Markets Trough Virtual Communities[M].Published by arrangement with Harvard Business School Press.1997.28.
[16]DaleNeef.The Knowledge Economy[M].Butterworth Heinemann.1998.101.
[17]何培忠.中日韩生活观调查结果报告书[R].亚洲论坛.2005年东亚信息产业与经济发展研讨会;1997.10-16.
[18]李智勇.信息化对我国城市居民消费行为的影响及对策研究[D].哈尔滨工业大学.1998.
[19]陈南.关于信息消费的思考[J].未来与发展.1999(1).100
[20]谢康.微观信息经济学[M].广州.中山大学出版社.1995.197.
[21]A.L.Norman.Information Society.An Economic Theory of Discovery.Information and Innovation[M].Klrwer Academic Publishers.1993.186.
[22]J.Naisbitt.Megatrends-Ten New Directions Transforming Our Lives[M].William Norrow Co.1982.79.
[23]W.D.Wells.D.Prensky.Consumer Behavior[M].John Wiley&Sons.Inc.1965.5.
[24]贺修铭.信息消费概念的确立及其理论基础[J].图书情报工作.1996.(4).45
[25]让-雅克.塞尔旺-施赖贝尔.世界面临挑战[M].人民出版社.1982.45.
[26]利亚姆.班农.信息社会[M].上海译文出版社.1991.59-60.
[27]方弩.网络化社会.一种生存哲学[J].中国青年科技.2003(11).51-53
[28]R.N.Barger.In Search of A Common Rationale for Computer Ethics.Read at the Third Annual Computer Ethics Institute Confere.The Brooking Institution.Washington.1994.(86)
[29]Crosby,L.A.,Evans,K.R.,and Cowles,D.(1990),"Relationship quality in service selling:An interpersonal influence perspective," Journal of Marketing,Vol.54(3),p.p.68-80.
[30]Sheth R A.Transactional workflows:research,enabling technologies and applications(invited talk).In:Proc the 10th International Conference on Data Engineering,Houston,1994
[31]Oliver Williamson,The Economic Institution of Capitalism(M),chap.6
[32]Jack A Lesser.Lakshmi K Thumuluri.William T Kirk.Toward a psychological interpretation of the integration of shopping functions[J]..Management Research News.Patrington..Vol.1998.21(7/8).1-19.
[33]Giese.Joan L.and Joseph A.Cote..Defining Consumer Satisfaction[J].Academy of Marketing Science Review.Vancouver.Vol.2000.1-18.
[34]Steven S.Posavac.David M.Sanbonmatsu.Edward A.Ho.The Effects of the Selective Consideration of Alternatives on Consumer Choice and Attitude-Decision Consistency.Journal of Consumer Psychology 2002.12(3).203-216.
[35]John Goodman.Steve Newman.Understand customer behavior and complaints[J].Quality Progress.Milwaukee.Jan.2003.36(1).51-54.
[36]罗子明.国内消费者心理研究概况[J].北京工商大学学报(社会科学版).2003(3).11-15.
[37]李忠艳.电子商务中的消费心理浅析[J].商业研究.2004(11).55-58.
[38]肖崇好.网络心理的研究方法问题[J].心理科学.2004.27(3).726-728.
[39]柯青.网络消费者购买行为模式研究[J].华中师范大学硕士学位论文.2004.
[40]李东进、金玉华、秦勇.WOM信息依赖性及其影响因素的实证研究——以我国消费者为例[J].管理学报.2005.2(1).90-97.
[41]Katherine White etc.To Be or Not Be? The Influence of Dissociative Reference Groups on Consumer Preferences.Journal of Consumer Psychology.2006.16(4).404-414.
[42]Barbara Loken.Consumer Psychology.Categorization.Inferences.Affect.and Persuasion.Annual Review of Psychology 2006(57).453-485.
[43]Efthymios Constantinides.Influencing the online consumer's behavior,the WEB experience[J].Internet Research.Bradford..2004.14(2).111-116.
[44]Tamimi.N..Rajan.M.and Sebastianelli.R..The state of online retailing[J].Intemet Research.Applications and Policy.2003.13(3).146-155.
[45]Watchfire Whitepaper Series(2000).Bad things shouldn't happen to good WEB sites,best practices for managing the WEB experience[J].available at.http://www.watchfire.corn/resources/search-and-ye-shall-find.pdf.
[46]Cheung.C.M.K..Zhu.L.Kwong.T..Chan.G.W.W.and Limayem.M..Online consumer behavior,a review and agenda for future research[C].Proceedings of the 16th Bled eCommerce Conference.Bled.9-11 June.2003.
[47]O'Cass.A.and Fenech.T..WEB retailing adoption,exploring the nature of Internet users'WEB retailing behaviour[J].Journal of Retailing and Consumer Services.2003(10).81-94.
[48]Kotler.P..Marketing Management(11th ed)[M].Prentice-Hall International Editions.Englewood Cliffs.NJ.2003.
[49]Gr?nroos.C..From marketing mix to relationship marketing - towards a paradigm shift in marketing[J].Management Decision.1994(32).4-20.
[50]Lee.P-M..Behavioral model of online purchasers in e-commerce environment[J].Electronic Commerce Research.2002(2).75-85.
[51]Tybout.Alice M.Artz.Nancy..Consumer psychology[J].Annual Review of Psychology..Palo Alto..1994.(45).pp.131-169.
[52]Magnus Soderlund.Customer satisfaction and its consequences on customer behaviour revisited The impact of different levels of satisfaction on word-of-mouth,feedback to the supplier and loyalty[J].International Journal of Service Industry Management.Bradford..1998.9(2).169-175.
[53]Susan Sproule.Norm Archer.A buyer behaviour framework for the development and design of software agents in e-commerce[J].Internet Research.Electronic Networking Applications and Policy.2000.10(5).396-405.
[54]Marios Koufaris.Applying the technology acceptance model and flow theory to online consumer behavior[J].Information Systems Research.Linthicum.Jun.2002.13(2).205-224.
[55]Ogden.Denise T..James R.Ogden.and Hope Jensen Schau.Exploring the Impact of Culture and Acculturation on Consumer Purchase Decisions.Toward a Microcultural Perspective[J].Academy of Marketing Science Review.Vancouver..Vol.2004.22-29.
[56]Pimentel.Robert W.and Kristy E.Reynolds.A Model for Consumer Devotion.Affective Commitment with Proactive Sustaining Behaviors[J]Academy of Marketing Science Review.Vancouver..Vol.2004.1-16.
[57]黎志成、刘枚莲.电子商务环境下的消费者行为研究[J].中国管理科学.2002.10(6).88-91.
[58]彭军锋.顾客满意与顾客忠诚的一个规范解释[J].商业研究.2003.(19).38-42.
[59]Liao.Z.and Cheung.M.T..Internet-based e-shopping and consumer attitudes,an empirical study[J].Information and Management.2001(38).299-306.
[60]Liu.C.and Arnett.K.P..Exploring the factors associated with WEB site success in the context of electronic commerce[J].Information and Management.2000(38).23-33.
[61]Joines.J.L..Scherer.C.W.and Scheufele.D.A..Exploring motivations for consumer WEB use and their implications for e-commerce[J].Journal of Consumer Marketing.2003(20).pp.90-108.
[62]McKnight.D.H..Choudhury.V.and Kacmar.C..The impact of initial consumer trust on intentions to transact with a WEB site.a trust-building model[J].The Journal of Strategic Information Systems.2002.(11).297-323.
[63]Irene S.Y.Kwan A Mental Cognitive Model Of WEB semantic for e-Customer Profile.Proceedings of the 13th International Workshop on Database and Expert Systems Applications.IEEE.2002.116-120.
[64]何明升.网络消费方式的内在结构及其形成机理[J].哈尔滨工业大学(社科版).Vol. 4(1). 44-47.
[65] Balabanis. G. Reynolds. N. & Simintiras. A. Bases of e-store loyalty. Perceived switching barriers and satisfaction^]. Journal of Business Research. 2006(59). 214-224
[66] Konstan. J. Recommender System Research. Perspective and Thoughts. Keynote Address. Workshop on Recommender Systems. Algorithms and Evaluation. 1999. Berkeley. California.
[67] CLAYPOOL. M.. GOKHALE. A.. AND MIRANDA. T. Combining content-based and collaborative filters in an online newspaper. In. Proceedings of the 22nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'99) (Berkeley. Calif. ).ACM. New York.
[68] Cyrus Shahabi. et al. Yoda. An Accurate and Scalable WEB-based Recommendation System. In. Proceedings of the Sixth International Conference on Cooperative Information Systems.Trento. Italy. September 2001.418-432
[69] BAMSHAD MOBASHER. et al. Discovery and Evaluation of Aggregate Usage Profiles for WEB Personalization. Data Mining and Knowledge Discovery. 2002(6). 61-82
[70] R. Burke. K. Hammond, and B. C. Young. The FindMe Approach to Assisted Browsing. Journal of IEEE Expert. 1997. 12(4). 32-40
[71] Burke. R. Hybrid Recommender Systems. Survey and Experiments. User Modeling and User-Adapted Interaction. 2002. 12(4). 331-370.
[72] Stuart E. Middleton. Nigel R. Shadbolt. David C. DE Roure. Ontological User Profiling in Recommender Systems. ACM Transactions on Information Systems. 2004. 22(1). 54-88
[73] Eero Hyvnen. Samppa Saarela. and Kim Viljanen. Application of Ontology Techniques to View-Based Semantic Search and Browsing. In. J. Davies et al. (Eds. ). ESWS 2004. LNCS 3053. 2004. 92-106.
[74] MAREK HATALA and RON WAKKARY Ontology-Based User Modeling in an Augmented Audio Reality System for Museums. User Modeling and User-Adapted Interaction . 2005(15). 339-380
[75] J. Ben Schafer. Joseph A. Konstan. John Riedl. Meta-recommendation Systems. User-controlled Integration of Diverse Recommendations. In. CIKM'02. McLean. Virginia. USA. November 4-9. 2002. 43-51
[76] T. Joachims. D. Freitag. T. Mitchell. WEBWatcher. A Tour Guide for the World Wide WEB . Proceedings of IJCAI97. August 1997
[77] Daniel Siaw Weng Ngu . SiteHelper. A Localized Agent that Helps Incremental Exploration of the World Wide WEB. http://www. cs. uvm. edu/~xwu/Publication/SiteHelper. html
[78] H Mannila. H Toivonen. AI Verkamo. Discovering Frequent Episodes in Sequnces[C]. In. Proc Of the First Int'l Conference on Knowledge Discovery and Data Mining (KDD95). Montreal.Quebec. 1995.210-215
[79] Chen M-S. et al. Data Mining for Path Traversal Patterns in a WEB Environment[C]. In.Proc. Of the 16th Intl Conf. Of Distributed Computing System. 1996. 385-392
[80] Perkowitz M. Etzioni 0. Adaptive WEB sites, an Al challengae. In. Proc. of the Fifteenth Intl. Joint Conf. on Artificial Intelligence. 1997
[81] Han J W. Proc. 1997 IFIP Conference on Data Semantics(DS-7). Leysin. Switzerland. 1997. 1
[82]J Borges.M Levene.Data mining of user navigation patterns.The WEB Usage Analysis and User Profiling Workshop.San Diego.California.1999
[83]金刚、左万利.有序概念格与www用户访问模式的增量挖掘[J].计算机研究与发展.2003.40(5).675-683
[84]董一鸿、庄越挺.基于新型的竞争型神经网络的WEB日志挖掘[J].计算机研究与发展.2003.40(5).621-667.
[85]Soe-Tsyr Yuan and Chiahsin Cheng."Ontology-Based Personalized Couple Clustering for Heterogeneous Product Recommendation in Mobile Marketing".Expert Systems with Applications.Vol.26(4).P.461-476.May.2004.(SCI)
[86]余力、刘鲁、李雪峰.用户多兴趣下的个性化推荐算法研究[].计算机集成制造系统.2004.10(12).1610-1615.
[87]陈冬林、聂规划、刘平峰.基于网页语义相似性的商品隐性评分算法研究[J].系统工程理论与实践.2006(12)
[88]费爱国.王新辉.一种基于WEB日志文件的信息挖掘方法[J].计算机应用.2004.24(6).57-59
[89]ZAIANE O R.XIN M.HAN J.Discovering WEB Access Pattern and Trends by Aapplying OLAP and Data Mining Technology on WEB Logs[A].In.Proc of Advances in Digital Libraries[C].CA.IEEE.1998.19-29
[90]LIUB.HSUW.MAY.Mining Association Rules with Multiple Minimum Supports[A].In.Proc of the ACM SIGKDD Intl Conf on Knowledge Discovery and Data Mining(KDD'99.Poster)[C].USA.ACM Press.1999.337-341
[91]柴玉梅、王宇.基于TFIDF的文本特征选择方法[J].微计算机信息.2006.(24).41-45
[92]吴满意、谢海蓉.论网络消费[J].电子科技大学学报社科版.2000(3).21-23
[93]柳卸林.知识经济导论[M].经济管理出版社;1998.67
[94]托夫勒.未来的冲击[M].中信出版社.2006.48
[95]加里·贝克尔.家庭经济分析[M].华夏出版社.1987.5
[96]肖霞.现代化标准的具体化——企业管理实践现代化的前提[J].经济师.2005(4).148-149
[97]何明升.关于网络消费的理论解说[J].淮阴师范学院学报.2002(5).610-613
[98]何明升、李一军.网络消费的基本特点及其对传统经济理论的突破[J].学术交流.2001(2).105-108
[99]唐麒.浅谈网络经济中梅特卡大法则及其应用[J].无锡职业技术学院学报.2006(3).46-48
[100]张贵明.网络时代的传播及其对传统传播理论的影响[J].科技情报开发与经济.2003(5)
[101]司马銮.当代西方消费者行为定义研究[J].国外社会科学.1996.(5).
[102]David L.Laton & All port J.D.Bitta.Consumer Behavior[M].1984.1.
[103]Leon G.Schiffman & Leslie L.Kanuk.Consumer Behavior[M].1987.3
[104]楚尔鸣、何恒远.基于网络经济的传统消费理论评析[J].山东经济.2002(6).3-5
[105]张衡.一种基于零售行业的电子商务解决方案[J].华中科技大学研究生学报.2000(1).50-55.
[106]沈玉春、沈红芳..“网络泡沫现象”引发的思考[J].中国软科学.2001(2).58-62.
[107]刘劲松.“数码鸿沟”对世界、亚洲和中国的挑战[J].世界经济与政治.2001(4).4-9
[108]曼纽尔·卡斯特.网络社会的崛起[M].社会科学文献出版社.2001.19
[109]吴卫华.电子商务不是技术经济[N].光明日报.2001-4-18(4)
[110]Gruber T R.A Translation Approach to Portable Ontology Specifications[J].Knowledge Acquistion.1993.5.199-220
[111]Borst W N.Constrution of Engineering Ontologies for Knowledge Sharing and Reuse.[PhD thesie].Univerity ofTwente.Enschede.1997
[112]Studer R.Benjiamins V R.Fensel D.Knowledge Engineering.Principles and Methods[J].Data and Knowledge Engineering.1998.25(1-2).161-197
[113]Neches R.Fikes R E.Gruber T R.et al.Enabling technology for knowledge sharing[J].AI Magazine.1991.12(3).36-56
[114]韩家炜.孟小峰。WEB挖掘研究[J]。计算机研究与发展.2001.405-414
[115]张娥、冯耕中、郑斐峰.WEB用户访问日志数据挖掘研究[J].情报技术.2003.22(9).48-50
[116]PHILL IPMHB.BRIAN B.Extended Log File Format[EB/OL].http://www.w3.org/pub/WWW/TR/WD-Iogfile.html.2006-04-02
[117]余力、刘鲁.我国电子商务推荐策略的比较分析[J].系统工程理论与实践.2004.24(8).96-101
[118]J.Goecks and J.W.Shavlik.Leaming Users' Interests by Unobtrusively Observing Their Normal Behavior[C].In Proceedings of the ACM Intelligent User Interfaces Conference(IUI).Jan.2000.
[119]Mobasher B.Dai H.Luo T.et al.Discovery of aggregate usage profiles for WEB personalization[C].International Conference on Knowledge Discovery and Data Mining.Boston.2000
[120]Mark Claypool.Phong Le.Makoto Wased and David Brown.Implicit Interest Indicators[C].IUI'01.January 14-17.2001.Santa Fe.New Mexico.USA.
[121]王勋、凌云、费玉莲.基于WEB日志和缓存数据挖掘的电子商务推荐系统[J].情报学报.2005.24(3).324-328
[122]X Fu.J Budazik.K J Hammond.Mining navigation history for recommendation[C].In.Proc of the International Conf on Intelligent User Interfaces.ACM.New Orleans.LA.ACM.2000.106-112
[123]Qiubang Li.Rajiv Khosla.An Adaptive Algorithm for Improving Recommendation Quality of E-Recommendation Systems[C].CIMS2003.International Symposium on Computational Intelligence for Measurement Systems and Applications.Lugano.Switzerland.29-31.July 2003.109-203
[124]高琳琦、李龙洙.基于顾客行为的产品推荐方法[J].计算机工程与应用.2005(3).188-190
[125]梁邦勇、李涓子、王克宏.基于语义WEB的网页推荐模型[J].清华大学学报(自然科学版).2004.44(9).1272-1276
[126]崔林.宋瀚涛.陆玉昌.基于语义相似性的资源协同过滤技术研究[J].北京理工大学学报.2005.25(5).402-405
[127]Robin Burke.Semantic ratings and heuristic similarity for collaborative filtering.2000. http://www.igec.umbc.edu/kbem/final/burke.pdf
[128]Budanitsky.Alexander and Hirst.Graeme.Evaluating WordNet-based measures of semantic distance[J].Computational Linguistics.32(1).March 2006.13-47.
[129]Yuhua Li.Zuhair A.Bandar.and David McLean.An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources[C].IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING.VOL.15.NO.4.JULY/AUGUST 2003
[130]陈晓明、周渝.基于知网的文本标注[J].贵州大学学报(自然科学版).2001.(03).9-13
[131]徐建斌、施亚东.基于概念的文本自动分类研究的综述[J].福建电脑.2005.(02).49-52
[132]代六玲、黄河燕、陈肇雄..中文文本分类中特征抽取方法的比较研究[J].中文信息学报.2004.(01).123-126
[133]张俐、李晶皎、胡明涵、姚天顺.中文WordNet的研究及实现[J].东北大学学报(自然科学版).2003.(04).147-150
[134]Schauβ S.Smolka G.Attributive Concept Descriptions with Complements.Artificial Intelligence.1991.48(1).1-26
[135]梅立军、周强、臧路、陈祖舜.知网与同义词词林的信息融合研究[J].中文信息学报.2005.(01).47-49
[136]Matthew Horridge.Holger Knublauch.Alan Rector.Robert Stevens Chris Wroe.A Practical Guide to Building OWL Ontologies Using the Prot(?)g(?)-OWL Plugin and CO-ODE Tools.The University Of Manchester.2004.8
[137]李善平、尹奇、胡玉杰等.本体论研究综述[J].计算机研究与发展.2004(7).1041-1052
[138]David De Roure.Nieholas R.Jennings.Nigel R.Shadbolt.Researeh Agenda for the Semantie Grid.A Futuree—SeieneeInfrastrueture.http://www.semanticgrid.org/html/semgrid.html.Deeember 2001
[139]陈冬林、聂规划、刘平峰.基于知识网格的电子商务推荐系统设计[J].计算机应用研究.2006.(12).58-59
[140]蔡登、卢增祥、李衍达.信息协同过滤[J].计算机科学.2002.(06).14-16
[141]Xiangjun Fu.et al.Methodology for Semantic Representing of Product in XML.In.C.-H.Chi and K.-Y.Lam(Eds.).AWCC 2004.LNCS 3309.2004.380-387.
[142]Hyunja Lee.Junho Shim.Dongkyu Kim.Ontological Modeling of e-Catalogs using EER and Description Logics.In.Proceedings of the 2005 International Workshop on Data Engineering Issues in E-Commerce.2005.125-131.
[143]张月雷、左洪福.基于本体的案例表示和CBR系统结构研究[J].山东理工大学学报(自然科学版).2006.(04).48-51
[144]周凯波、金斌、周剑岚、冯珊.基于XML的面向对象案例表示方法[J].武汉理工大学学报(信息与管理工程版).2005.(03).78-79
[145]吴强、宋益大..基于本体的领域知识表示和信息检索的方法研究[J].绍兴文理学院学报(自科版).2005.(02).6
[146]刘平峰、聂规划、陈冬林.电子商务推荐系统中推荐策略的自适应性[J].计算机工程与应用.2007.(04).24-29
[147]应杭等.本体在产品知识S-B-F表达模型中的应用研究[J].计算机集成制造系统. 2004.10(专刊).30-38
[148]Xiangjun Fu.et al.Ontological Driven Product Knowledge Representation.In.Proceedings of the 5'World Congress on Intelligent Control and Automation.June 15-19.2004.2809-2813.
[149]杜小勇.李曼、王大治.语义WEB与本体研究综述.计算机应用.2004.24(10).14-16.20.
[150]王伟达、芦东昕、孟照星.关系数据库与XML的双向数据传输的机制与实现.计算机应用研究.2005(2).164-166
[151]Fong.J..Pang.F..Bloor.C.Converting relational database into XML document.In.Proceedings of 12th International Workshop on Database and Expert Systems Applications.3-7 Sept.2001.61-65
[152]孙景广、蔡东风、吕德新、董燕举.基于知网的中文问题自动分类[J].中文信息学报.2007.(01).110-113
[153]Man Li.Xiao-Yong Du.Shan Wang.Learning ontology from relational database.In.Proceedings of 2005 International Conference on Machine Learning and Cybernetics.2005.Vol 6.18-21 Aug.2005.3410-3415
[154]Quang Trinh.Barker.K..Alhajj.R.RDB2ONT.A Tool for Generating OWL Ontologies From Relational Database Systems.In.Prodeedings of International Conference on Internet and WEB Applications and Services/Advanced International Conference on Telecommunications.19-25Feb.2006.170-178
[155]张锋、常会友.使用BP神经网络缓解协同过滤推荐算法的稀疏性问题.计算机研究与发展.2006.43(4).667-672
[156]邓爱林、朱扬勇、施伯乐.基于项目评分预测的协同过滤推荐算法.软件学报.2003.14(9).1621-1628
[157]Yong Soo Kim.et al.Development of a recommender system based on navigational an behavioral patterns of customers in e-commerce sites.Expert System with Applications.2005(28).381-393
[158]Yoon Ho Cho.Jae Kyeong Kim and Soung Hie Kim.A personalized recommender system based on WEB usage mining and decision tree induction.Expert Systems with Applications.2002.23(3).329-342
[159]Kyung-Yong Jung.Kee-Wook Rim.and Jung-Hyun Lee.Automatic Preference Mining through Learning User Profile with Extracted Information.In.A.Fred et al.(Eds.).SSPR&SPR 2004.LNCS 3138.2004.815-823
[160]Junzhong Ji.Zhiqiang Sha.Chunnian Liu.Online Recommendation Based on Customer Shopping Model in E-Commerce.In.Proceedings of IEEE/WIC International Conference on WEB Intelligence.13-17 Oct.2003.68-74
[161]Chunyan Miao.et al.Fuzzy Cognitive Agents for Personalized Recommendation.Proceedings of the 3rd International Conference on WEB Information Systems Engineering.12-14Dec.2002.362-371
[162]Maria Salam(?).et al.Knowledge Discovery from User Preferences in Conversational Recommendation.In.A.Jorge et al.(Eds.).PKDD 2005.LNAI 3721.2005.228-239
[163]Rajanish Dass and Ambuj Mahanti.An Efficient Real-Time Frequent Pattern Mining Technique Using Diff-Sets.In.V.S.Sunderam et al.(Eds.).ICCS 2005.LNCS 3516.2005.818-821
[164]Zhou.B..Hui.S.C..Chang.K..An intelligent recommender system using sequential WEB access patterns.In.IEEE Conference on Cybernetics and Intelligent Systems.Vol.1.1-3 Dec.2004.393-398
[165]Barry Smyth.et al.Compound Critiques for Conversational Recommender Systems.In.Proceedings of the IEEE/WIC/ACM International Conference on WEB Intelligence(WI'04).2004.145-151
[166]Pingfeng Liu.Guihua Nie.and Dongli Chen.Towards Semantic Description of User Requiements in Recommender Systems.In.Proceedings of the Fifth Wuhan International Conference on E-Business.May 27.2006.509-515
[167]MIQUEL MONTANER.et al.A Taxonomy of Recommender Agents on the Internet.Artificial Intelligence Review.2003(19).285-330
[168]Skowron A.Rough sets in KDD[R].Special Invited Speaking.WCC 2000 in Beijing.2000.
[169]王国胤、于洪、杨大春.基于条件信息熵的决策表约简[J].计算机学报.2002.25(7).759-766.
[170]常梨云、王国胤、吴渝.一种基于Rough Set理论的属性约简及规则提取方法[J].软件学报.1999.10(11).1206-1211.
[171]Schmidt Schaub.G.Smolka.Attribute Concept Descriptions with Unions and Completeness[R].SEKI Report SR288221.
[172]Horrocks I.DAML+OIL.A description logic for the semantic WEB.Bull of the IEEE Computer Society Technical Committee on Data Engineering.2002.25(1).4-9
[173]Horrocks I.Peter F.Patel-Schneider.Reducing OWL entailment to description logic satisfiability.In.Fensel D.Sycara D.Mylopoulos D.ed.Proc of the 2003 International Semantic WEB Conference(ISWC 2003).Berlin.Springer.2003.17-29
[174]Baader F.Horrocks I.Sattler U.Description logics as ontology languages for the semantic WEB.In.Dieter Hutter and Werner Stephan.ed.Festschrift in honor of J?rg Siekmann.Berlin.Springer.2003
[175]梅靖、林作栓.从ALC到SHOQ(D).描述逻辑及其Tableau算法..计算机科学.2005.32(3).1-11.35
[176]John Benjamin Schafer.MetaLens.A Framework for Multi-source Recommendations.[PHd.Dissertation].Twin Cties.University of Minnesota.2001
[177]杨行峻、郑君里.人工神经网络与盲信号处理.北京.清华大学出版社.2003年1月.137-148
[178]刘平峰.基于知识网格的电子商务智能推荐理论方法研究.武汉理工大学博士学位论文.2006年11月
© 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 |