摘要
随着互联网的普及,越来越多的客车企业利用营销型企业网站开展商务活动。与传统营销相比,企业网站记录了客户的访问行为数据,包括点击流和用户产品评论。这些海量的、干净的访问行为数据,为企业获取客户需求提供了重要的数据源。然而,这些数据并不能直接利用。如何从访问行为数据中提取有用的客户需求信息,已成为客车企业网络营销需要解决的重要问题之一。
本文旨在研究基于客车企业营销型网站访问行为数据的客户需求获取方法,具体研究了以下三个问题:
(1)研究了客车产品客户需求知识的表示及构建方法。针对从客车企业营销型网站访问行为中提取客户需求效用的目标,提出了基于本体的客车产品客户需求知识表示及构建方法,包括概念模型、知识库模板和知识获取三部分。其中,针对概念模型,提出了从客户需求形式化表示到基于本体的知识表示的映射方法;针对知识库模板,提出了将其结构分为逻辑结构和采集点的两类表示方式;针对知识获取,提出了基于包装器归纳的营销型网站网页模板抽取方法。
(2)研究了客车产品评论文本中客户需求特征的抽取方法。针对客车企业营销型网站产品评论文本的特点,提出了需求触发词的概念,并在此基础上提出了一种抽取方法,该方法包括产品特征词识别、基本需求检测以及基本需求内容识别等三部分。其中,对于基本需求,首先将其分为参数型需求、布尔型需求、情感型需求等三种类型,随后研究了三种基本需求的需求触发词特点及获取方法。
(3)研究了基于营销型企业网站访问行为的客车产品客户需求聚类方法。针对客车企业营销型网站访问行为数据,对其进行了客户需求效用分析,并在此基础上提出了一种根据客户需求相似偏好的客户聚类方法,该方法包括数据建模、客户聚类及其特征归纳等三方面。其中,对于数据建模,设计了基于“访客-客户需求”矩阵的客户需求效用数据模型,并提出了两步转化的构建方法。
综合上述研究,设计并实现了一套客车企业客户需求获取系统,并应用于国内某大型客车企业,取得了良好的效果。
With the spread of the Internet, more and more bus enterprises are carrying out business activities via enterprise web site of marketing type. The mass, clean visiting behavior data provides an important data source for enterprises to gain customer needs. However, these data cannot be used directly. How to extract useful customer demand information from visiting behavior data is becoming one of the important problems that the bus enterprises need to be solved.
This paper aims to research on customer demand data acquisition method of access behavior based on bus enterprise website of marketing-type. Specificly, the following three key problems are included:
(1) Study the customer requirement of coach products on knowledge representation and construction method. Aiming at customer needs utility extracted from coach enterprise web marketing access, the paper proposes customers demand of coach products on knowledge representation and construction method based on ontology, including concept model, knowledge base template and knowledge acquisition.
Among them, a mapping method is proposed in view of the conceptual model to convert customer needs formalization into knowledge representation based on ontology; two kinds of representation is proposed in view of the knowledge base template that it could be divided into logical structure and collection point; a web page templates extracting method of marketing website is proposed in view of the knowledge acquisition that the extracting methods should based on wrapper induction
(2) Extraction method of customer requirement characteristics in coach product reviews text. In terms of characteristics of remarking texts in bus enterprise website of marketing type, this paper puts forward the concept of demand trigger and puts forward a kind of extraction method consisting of three steps based on the concept: product key word identification, basic demand detection and basic needs content identification. Among which, the basic demand detection can be divided into three types-parameter type needs, Boolean type needs, and emotional type needs, and studies needs trigger word characteristics and acquisition method for basic demand the of three kinds
(3) Customer requirement clustering method of car product based on access behavior to enterprises website of marketing-type. This paper makes pragmatic analysis for customer needs based on access behavior data for bus enterprise website of marketing-type, and puts forward a customer clustering method of similar preference accordingly. The method includes three aspects-data modeling, customer clustering and characteristics summarizing. This paper designs "visitors-Pages" customer demand utility data model, and put forwards two-step conversion method.
A set of requirements elicitation system for bus companies is designed and realized based on the above research. It has been applied one large-scale coach company and has achieved good effect.
引文
[1](美)菲利普·科特勒,(美)凯勒著.营销管理(第13版)[M].王永贵等译.上海:格致出版社,2009.
[2]Jianxin (Roger) Jiao, Chun-Hsien Chen. Customer Requirement Management in Product Development:A Review of Research Issues[J]. Concurrent Engineering:Research and Applications,2006,14(3):173-185.
[3]IDG,阿里巴巴.推动信息社会进程-电子商务和阿里巴巴商业生态的社会经济影响白皮书[EB/OL].[2012-02-25]. http://www.aliresearch.com/attachment/cms_article/Mon_1203 /1134_52b76bec93a383e.pdf.
[4]DELL公司官方网站.[EB/OL].[2012-02-25].http://www.dell.com.
[5]楼健人,张树有,谭建荣.面向大批量定制的客户需求信息表达与处理技术研究[J].中国机械工程,2004,15(8):29-31.
[6]但斌,王江平等.大规模定制环境下客户需求信息分类模型及其表达方法研究[J].计算机集成制造系统,2008,(8):1504-1511.
[7]Wei Yan, Chun-Hsien Chen, Li Pheng Khoo. An integrated approach to the elicitation of customer requirements for engineering design using picture sorts and fuzzy evaluation[J].AIEDAM,2002(2):59-71.
[8]L Stauffer, L Morris. A new program to enhance the development of product requirements[C]. Atlanta:NSF Design and Manufacturing Systems Conference,1992.
[9]Geoffrey Lancaster. The Essentials of Marketing:Text and Cases [M]. Hong Kong: McGraw-Hill,1994.
[10]N Kano, N Seraku, F Takahashi, S Tsuji. Attractive quality and must-be quality [J]. The Japan Society for Quality Control,1984(2):39-48.
[11]Mitsuo Nagamachi. Kansei Engineering:A new ergonomic consumer-oriented technology for product development [J]. International Journal of Industrial Ergonomics,1995(1):3-11.
[12]G Burchill, C Fine. Time versus market orientation in product concept development: Empirically-based theory generation [J]. Management Science,1997(4):465-478.
[13]G Rugg, P McGeorge. Laddering [J]. Expert System,1995(4):279-91.
[14]PL Hauge, LA Stauffer. A method for eliciting knowledge from customers [J]. Design and Methodology,1993(53):73-81.
[15]CH Chen, LP Khoo, W Yan. Web-enabled customer-oriented product concept formation via laddering technique and Kohonen association [J].Concurrent Engineering:Research and Applications,2002(4):299-310.
[16]Yun Seon Kim, Kyoung-Yun Kim. DCR-based causal design knowledge evaluation method and system for future CAD applications [J]. Computer-Aided Design,2012,44(10): 947-960.
[17]M.M. Tseng, X.H. Du. Design by customers for mass customization products [J]. Annals of the CIRP,1998(1):103-106.
[18]X Du, J Jiao, M.M.Tseng. Identifying customer need patterns for customization and personalization [J]. Integrated Manufacturing Systems,2003 (5):387-396.
[19]CH Chen, L.P. Khoo, W Yan.A strategy for acquiring customer requirement patterns using laddering technique and ART2 neural network[J]. Advanced Engineering Informatics, 2002(3):229-240.
[20]J Jiao, Y Zhang. Product portfolio identification based on association rule mining [J]. Computer-Aided Design,2005(2):149-172.
[21]胡浩,祁国宁等.基于产品服务数据的客户需求挖掘[J].浙江大学学报(工学版),2009,43(3):540-545.
[22]郭伟,胡明艳.基于web源的客户需求获取及分析方法[J].计算机集成制造系统,2004,10(9):1165-117.
[23]Bergmann, R., Cunningham, P.Acquiring customers' requirements in electroniccommerce [J]. Artificial Intelligence Review,2002,18(3-4):163-193.
[24]Blecker, T., Abdelkafi, N., et al. An advisory system for customers'objective needs elicitation in mass customization[C].The 4th International ICSC Symposium onEngineering of Intelligent Systems, University of Madeira,Funchal, Portugal.2004.
[25]DewanR, JingB, SeidmannA. Product customizationand price competition on the Internet[J]. Management Science,2003,49(8):1055-1070.
[26]伊辉勇,刘伟.面向在线定制客户需求信息表达和转化模型[J].重庆大学学报,2008,31(3):311-318.
[27]张超,刘夫云,贾焕香.客户需求获取与分析方法研究[J].微电子学与计算机,2010,27(11):64-67.
[28]李善平,尹奇等.本体论研究综述[J].计算机研究与发展,2004(7):1041-1052.
[29]D Fensel, M Brodie. Ontologies:a silver bullet for knowledge management and electronic commerce[M]. Springer,2003.
[30]AG Perez, VR Benjamins. Overview of Knowledge sharing and Reuse Components: Ontologies and Problem-Solving Methods [M]. In:StockholmVR, Benjamins B, ChandrasekaranA, eds. Proceedings of the IJCAI- 99 workshop on Ontologies and Problem-Solving Methods (KRR5),1999.
[31]N Guarino, P Giaretta. Ontologies and knowledge bases:Towards a terminological clarification[J].Towards very large knowledge bases:knowledge building and knowledge sharing,1995:25-32.
[32]T Gruber.Toward principles for the design of ontologies used for knowledge sharing[J].International Journal of Human Computer Studies,1995,43(5):907-28.
[33]陈禹六.IDEF建模分析和设计方法[M].北京:清华大学出版社,1999.
[34]M Uschold, M Gruninger. Ontologies:Principles, methods and applications [J].The Knowledge Engineering Review,1996, (11):93-136.
[35]M Gruninger, M Fox. Methodology for the Design and Evaluation of Ontologies [C]. Proceedings of the Workshop on Basic Ontological Issues in Knowledge Sharing,1995.
[36]A Bernaras, Hjwas Budapest. Building and reusing ontologies for electrical network applications[C].Proceedings of the European Conf on Artificial Intelligence.1996:298-302.
[37]M Fernandez, A Gomezperez, N Juristo. Methontology:From ontological art towards ontological engineering[C]. Proceedings of the AAAI97 Spring Symposium Series on Ontological Engineering,1997.
[38]A Farquhar, R Fikes, J Rice. The ontolingua server:A tool for collaborative ontology construction[J].International Journal of Human-Computers Studies,1997,46(6):707-27.
[39]B Swartout, R Patil, K Knight, et al. Toward distributed use of large-scale ontologies[C]. Proceedings of the Tenth Workshop on Knowledge Acquisition for Knowledge-Based Systems, F,1996.
[40]J Domingue.Tadzebao and Web Onto:Discussing, Browsing, AND Editing Ontologies [M].1998.
[41]The Protegeproject[EB/OL]:http://protege.stanford.edu,2010-10-09.
[42]Y Sure, M Erdmann, J Angele, et al. OntoEdit:Collaborative ontology development for the semantic web[J].Lecture Notes in Computer Science,2002(2):21-35.
[43]S Bechhofer, I Horrocks, C Goble, et al. OilEd:a reasonable ontology editor for the semantic web[J].Lecture Notes in Computer Science,2001(3):396-408.
[44]OWL Web Ontology Language Overview [EB/OL]:http://www.w3.org/TR/owl-features/, 2010-11-29.
[45]唐杰,梁邦勇,李涓子,王克宏.语义Web中的本体自动映射[J].计算机学报,2006(11):1956-1976.
[46]宋欣.复杂产品设计知识模型构建及其重用方法研究[D].天津大学,2009.
[47]杜小勇,李曼,王珊.本体学习研究综述[J].软件学报,2006,17(9):1837-1847.
[48]张奇.信息抽取中实体关系识别研究[D].中国科学技术大学,2010.
[49]张素香.信息抽取中关键技术的研究[D].北京邮电大学,2007.
[50]李保利,陈玉忠,俞士汶.信息抽取研究综述.计算机工程与应用,2003,39(10):1-5
[51]Mihai Georgescu, Nattiya Kanhabua. Extracting Event-Related Information from Article Updates in Wikipedia [J]. Lecture Notes in Computer Science,2013,7814:254-266.
[52]JiH, Grishman R. Refining event extraction through unsupervised Cross-document inference[C]//Proceedings ofACL-08.HLT Columbus, USA. HLT,2008:254-262.
[53]赵妍妍,秦兵,车万翔,刘挺.中文事件抽取技术研究[J].中文信息学报,2008,22(1):3-8.
[54]谭红叶.中文事件抽取关键技术研究[D].哈尔滨:哈尔滨工业大学,2008.
[55]许红磊,陈锦秀.自动识别事件类别的中文事件抽取技术研究[J].心智与计算,2010,4(1):34-44.
[56]付剑锋,刘宗田,付雪峰.基于依存分析的事件识别[J].计算机科学,2009,36(11):217-219.
[57]于江德,樊孝忠,庞文博.事件信息抽取中语义角色标注研究[J].计算机科学,2008,35(3):155-157.
[58]吴刚.基于主题的中文事件抽取技术研究及应用[D].苏州:苏州大学,2009.
[59]Soojong Lima, Changki Leeb, Dongyul Ra. Dependency-based semantic role labeling using sequence labeling with a structural SVM [J]. Pattern Recognition Letters,2013,34(6):696-702.
[60]Mihai Surdeanu and Sanda Harabagiu. Infrastructurefor Open-Domain Information Extraction [C]. In:Proceedings of the Human Language TechnologyConference. 2002:325-330.
[61]Hai Leong Chieu, Hwee Tou Ng. A MaximumEntropy Approach to Information Extraction fromSemi-Structured and Free Text [C]. In:Proceedingsof the 18th National Conference on ArtificialIntelligence.2002:786-791.
[62]丁效,宋凡,秦兵,刘挺.音乐领域典型事件抽取方法研究[J].中文信息学报,2011,25(2):15-20.
[63]David Ahn. The stages of event extraction [C]. In Proceedings of the Workshop on Annotations andReasoning about Time and Events 2006:1-8.
[64]NaughtonM. KushmerickN. Carthy J. EventExtraction from HeterogeneousNews Sources[C] Proceedings of the Workshop EventExtraction and Synthesis, American NationalConference in Artificial Intelligence (AAAI). Boston:2006.
[65]J. Srivastava,R. Cooley,M. Deshpande,P. Tan.Web usage mining:discovery and applications of usage patterns from Web data[J]. SIGKDD Explorations,2000,1(2):12-23.
[66]B. Berendt, B. Mobasher, M. Nakagawa, and M. Spiliopoulou. The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis[C].InProc. of the KDD'02 WebKDD Workshop,2002:1-21.
[67]R Suguna, D Sharmila. Clustering Web Log Files-A Review [J]. International Journal of Engineering Research & Technology,2013,2 (04):249-253.
[68]B. Berendt and M. Spiliopoulou. Analyzing Navigation Behavior in Web Sites Integrating Multiple Information Systems [J]. VLDB Journal,2000,9(l):56-75.
[69]M.S.Chen, J.S.Park. Data mining for path traversal patterns in a Web environment[C]. In Proc of the 16thlntl Conf on Distributed Computing Systems,1996:27-30.
[70]R.Agrawal, T.Imielinksi, A.Swami. Mining association rules between sets of items in largedatabases[C]. In:Proceedings of International Conference on Management of Data, 1993:207-216.
[71]Alex Buehner, Maurice D Mulvenna. Discovering internet marketing intelligence throughonline analytical Webusage mining[C]. SIGMOD Record,1998:54-61.
[72]R. Kohavi, L. Mason, R. Parekh, and Z. Zheng. Lessons and Challenges from MiningRetail E-Commerce Data[J]. Machine Learning,2004,57(1-2):83-113.
[73]冯英健.网络营销基础与实践(第三版)[M].北京:清华大学出版社,2007.
[74]Koray Altun, Turkay Dereli, Adil Baykasoglu. Development of a framework for customer co-creation in NPD through multi-issue negotiation with issue trade-offs [J]. Expert Systems with Applications,2013,40(3):873-880.
[75]Chen, C.-H., Khoo, L.P., Yan, W. Web-enabled customer-oriented product concept formation via laddering technique and Kohonen association [J]. Concurrent Engineering:Research and Applications,2002,10(4):299-310.
[76]Hauge, P.L., Stauffer, L.A. ELK:A method for eliciting knowledge from customers[J]. Design and Methodology,1993,53(5):73-81.
[77]Sojung Kim, Byungun Yoon. Developing a process of concept generation for new product-service systems:a QFD and TRIZ-based approach [J]. Service Business,2012, 6(3):323-348.
[78]Tseng, M.M., Jiao, J. Computer-aided requirement management for product definition:A methodology and implementation [J].Concurrent Engineering:Research and Application, 1998,6(2):145-160.
[79]Ahmad A1 Thunibat, Nor Azan Mat Zin, Noraidah Sahari. Mobile Government User Requirements Model [J]. Journal of E-Governance,2011,34(2):104-111.
[80]Clausing, D. Total Quality Development:A Step-by-Step Guide to World Class Concurrent Engineering [M].New York:ASME Press, New York,1994.
[81]Du, X., Jiao, J., Tseng, M.M.Identifying customer need patterns for customization and personalization[J]. Integrated Manufacturing Systems,2003,14(5):387-396.
[82]Prudhomme, G., Zwolinski, P., Brissaud, D.Integrating into the design process the needs of those involved in the product life-cycle[J]. Journal of Engineering Design,2003,14(3): 333-353.
[83]Kotonya, G., Sommerville, I.Requirements engineering with viewpoints[J].BCS/IEE Software Engineering Journal,1996,11(1):5-18.
[84]刘英姿,吴昊.客户细分方法研究综述[J].管理工程学报,2006,20(1):53-57.
[85]李双双,陈毅文.点击流:一种研究网上消费者的新范式[J].心理科学进展,2007,15(4):715-720.
[86]Wingyan Chung, Tzu-Liang Tseng. Discovering business intelligence from online product reviews:A rule-induction framework [J]. Expert Systems with Applications,2012,39: 11870-11879.
[87]Randolph E. Bucklina, Catarina Sismeirob. Click here for Internet insight:Advances in clickstream data analysis in marketing[J]. Journal of Interactive Marketing,2009,23:35-48.
[88]易明,张金隆.基于本体的电子商务个性化推荐的点击流信息资源开发利用研究[J].科技进步与对策,2007,24(3):143-148.
[89]孙曙迎,徐青.消费者网上信息搜寻努力影响因素的实证研究[J].重庆大学学报(社会科学版),2007,13(2):32-37.
[90]钟义信,周延泉,李蕾.信息科学教程[M].北京:北京邮电大学出版社,2005.
[91]德尔I.霍金斯,戴维L.马瑟斯博.消费者行为学(原书第11版)[M].北京:机械工业出版社,2011.
[92]Grigoris Antoniou, Frank van Harmelen. A Semantic Web Primer[M]. The MIT Press,2004.
[93]Lin, J., M.S. Fox,T. Bilgic.A requirement ontology for engineering design[J]. Concurrent Engineering Research and Applications,1996,4(3):279-291.
[94]高鹏,林兰芬,蔡铭等.基于本体映射的产品配置模型自动获取[J].计算机集成制造系统,2003(9):810-816.
[95]常艳,武建伟,潘双夏,张健.基于本体表达的客户需求拓展分析[J].浙江大学学报(工学版),2009,43(3):30-433,545.
[96]经有国,但斌等.基于本体的非结构化客户需求智能解析方法[J].计算机集成制造系统,2010,16(5):1026-1033.
[97]王亚萍,葛江华等.面向客户需求预测的产品族构建与映射方法研究[J].机械科学与技术,2011,30(3):363-367.
[98]Dongxing Cao, Zhanjun Li, Karthik Ramani. Ontology-based customer preference modeling for concept generation[J].Advanced Engineering Informatics,2011, 25(2):162-176.
[99]Inah Omoronyial, et al.A Domain Ontology Building Processfor Guiding Requirements Elicitation[C].Proc.16th International Working Conference on RequirementsEngineering, Springer,2010.
[100]W3C. OWL Web Ontology Language Guide Recommendation. World Wide Web Consortium[EB/OL]. http://www.w3.org/TR/2004/REC-owl-guide-20040210/,2004.
[101]I. Horrocks, B. Pa rsia, P. Patel-Schneider and J. Hendler. Semantic Web Architecture: Stack or Two Towers?[C]. In PPSWR'05, LNCS 3703, Springer 2005,37-41.
[102]Grigoris Antoniou, Frank van Harmelen. Web Ontology Language:OWL[J]. International Handbooks on Information Systems,2009,2(1):91-110.
[103]杨洁,杨育等.产品创新设计中基于本体理论的客户知识集成技术研究[J].计算机集成制造系统,2009,15(12):2303-2311.
[104]John Hebeler, Matthew Fisher. Semantic Web Programming[M]. Wiley Publishing,2009.
[105]BRANDT S C, MORBACH J, MICHALIS M, et al. A ontol-ogy-based approach to knowledge management in design processes[J]. Computers & Chemical Engineering,2008, 32 (1/2):320-342.
[106]Jose P. Garcia-Sabater,Julien Maheut, Juan A. Marin-Garcia. A new formulation technique to model materials and operations planning:the generic materials and operations planning (GMOP) problem [J]. European Journal of Industrial Engineering,2013,7(2): 119-147.
[107]M. Uschold and M. Gruninger. Ontologies:Principles, Methods and Applications[J]. Knowledge Engineering Review,1996,11 (2):93-155.
[108]Ferrara, E., Fiumara, G., Baumgartner, R.Web Data Extraction, Applications and Techniques:A Survey[J]. ACM Transactions on Computational Logic,2010(6):1-20.
[109]N. Kushmerick. Wrapper Induction:Efficiency and Expressiveness[J]. Artificial Intelligence,2000,118:15-68.
[110]I. Muslea, S. Minton, and C. A. Knoblock. A Hierarchical Approach to Wrapper Induction.In Proc. of the Intl[C]. Conf. on Autonomous Agents (AGENTS'99),1999:190-197.
[111]张紫琼,叶强,李一军.互联网商品评论情感分析研究综述[J].管理科学学报,2010,13(6):84-96.
[112]M. Hu, B. Liu. Mining and Summarizing Customer Reviews[C]. Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle,2004:168-177.
[113]N. Kobayashi, K. Inui, Y. Matsumoto, K. Tateishi, T. Fukushima. Collecting Evaluative Expressions for Opinion Extraction[C]. Proceedings of the 1st International Joint Conference on Natural Language Processing, Sanya City,Hainan Island, China, 2004:584-589.
[114]A. M. Popescu, O. Etzioni. Extracting Product Features and Opinions from Reviews[C]. In Proceedings of HLT-EMNLP Vancouver,2005. ACL,2005:339-346.
[115]AnHai Doan, Jeffrey F. Naughton. Information extraction challenges in managing unstructured data [J]. ACM SIGMOD, Volume 37 Issue 4, December 2008,37(4):14-20.
[116]Chang-Shing Lee, Yea-Juan Chen. Ontology-based fuzzy event extraction agent for Chinese e-news summarization Original Research Article Expert Systems with Applications, 2003,25(3):431-447.
[117]许旭阳,韩永峰,宋文政.事件抽取技术的回顾与展望[J].信息工程大学学报,2011,12(1):113-118.
[]18]贾美英,杨炳儒等.基于模式匹配的军事演习情报信息抽取[J].现代图书情报技术,2009(9):70-75.
[119]M. Kubica, T. Kulczynski. A linear time algorithm for consecutive permutation pattern matching[J]. Information Processing Letters.2013,113(12):430-433.
[120]T.Pedersen and R.Bruce.Distinguishing word senses in untagged text [C].In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, Providence, RI,1997:197-207.
[121]Y. Yang, and X. Liu. A Re-Examination of Text Categorization Methods[C]. In Proc. Of the ACM SIGIR Intl. Conf. Research and Development in Information Retrieval (SIGIR'99),1999:42-49.
[122]赵凤霞.基于复杂网络的数据挖掘分类问题研究与应用[D].沈阳:辽宁师范大学,2009.
[123]陈华友,盛昭瀚,刘春林.基于向量夹角余弦的组合预测模型的性质研究[J].管理科学学报,2006(2):1-8.
[124]哈工大信息检索实验室.同义词词林扩展版.[EB/OL].[2011-02-25].http://ir.hit.edu.cn.
[125]Nakamura A, Abe N. Collaborative filtering using weighted majority prediction algorithms[C]. Proc 15th Int'l Conf Machine Learning Madison,1998:395-403.
[126]Hofmann T. Collaborative filtering via gaussian probabilistic latent semantic analysis[C]. Proc 26th Ann Int'l ACM SI(}IR Conf, Toronto.2003:269-266.
[127]Baeza Yates R. Ribeiro Neto B. Modern Information Retrieval[M]. Addison Wesley, Wesley Press,1999.
[128]Belkin N, Croft B. Information filtering and information retrieval[J].Comm ACM. 1992,35(12):29-37.
[129]于小兵,郭顺生等.基于Web使用挖掘的智能电子商务及其应用[J].计算机集成制造系统,2010,16(2):439-447.
[130]张志宏.电子商务模式下的顾客行为特征提取及利润挖掘[D].天津:天津大学,2010.
[131]B.Lalithadevi, A.Merry Ida, W.Ancy Breen. A New Approach for Improving World Wide Web Techniques in Data Mining[J]. International Journal of Advanced Research in Computer Science and Software Engineering.2013,3(01):243-251.
[132]Chen M S. Park J S. Data mining for path traversal patterns in a Web environment[C]. In Proc of the 16th Intl Conf on Distributed Computing Systems.1996(05):27-30.
[133]J.L.Herlocker, J.Konstan, L.Terveen, and J.Riedl. Evaluating Collaborative Filtering Recommender Systems. ACM Transactions on Information Systems,2004,22(1),5-53.
[134]谢意,陈德人,干红华.基于浏览偏好挖掘的实时商品推荐方法[J].计算机应用,2011,31(1):89-93.
[135]宋爱波,胡孔法,董逸生.Web日志挖掘[J].东南大学学报,2002,32(1):15-18.
[136]邢东山,沈钧毅,宋擒豹.从Web日志中挖掘用户浏览偏爱略径[J].计算机学报,2002,26(11):1518-1523.
[137]W. Lin, S. A. Alvarez, and C. Ruiz. Efficient Adaptive-Support Association Rule Mining for Recommender Systems. Data Mining and Knowledge Discovery,2002,(6):83-105.
[138]Yan Xiaowei, Zhang Chengqi, Zhang Shichao. Identifying interesting association rules with genetic algorithms [J]. Artificial Intelligence,2005,(19):677-689.
[139]林文龙,刘业政,姜元春,焦宁.挖掘Web日志中的分类关联规则[J].计算机工程与应用,2007,43(31):123-125.
[140]孙玲芳,夏聪.Web使用挖掘在用户行为分析中的应用[J].江苏科技大学学报(自然科学版),2011,25(3):258-261.
[141]Mehrdad Jalali, Norwati Mustapha, Md. Nasir Sulaiman, Ali Mamat. WebPUM:A Web-based recommendation system to predict user future movements[J]. Expert Systems with Applications,2010,37(9):6201-6212.
[142]G. Paliouras, C. Papatheodorou, V. Karkaletsis, and C. D. Spyropoulos. Discovering User Communities on the Internet Using Unsupervised Machine Learning Techniques [J]. Interacting with Computers Journal,2002,14(6):761-791.
[143]B. Mobasher, H. Dai, T. Luo, and M. Nakagawa. Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization [J]. Data Mining and Knowledge Discovery, 2002,(6):61-82.
[144]Perkowitz M, Etzioni O. Adaptive websites:Automatically synthesizing Web pages[C]. Proc of AAAI 98. Madison:AAAI Press,1998:35-40.
[145]苏中,马少平,杨强,等.基于Web-log mining的Web文档聚类[J].软件学报,2002,3(1):99-104.
[146]宋江春,沈钧毅.一种新的Web用户群体和URL聚类算法的研究[J].控制与决策,2007,22(3):284-288.
[147]张建萍,刘希玉.基于聚类分析的K-means算法研究及应用[J].计算机应用研究,2007,(5):166-168.
[148]孙华梅,郭茂祖,焦杰,黄梯云.一种新的面向属性归纳中概念层次技术研究[J].管理科学学报,2004,(1):65-72.