Skip to main content

E-Service Intelligence: An Introduction

  • Chapter
E-Service Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 37))

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abraham, A., Ramos, V. (2003) Web usage mining using artificial ant colony clustering and linear genetic programming. Proceedings of the 2003 Congress on Evolutionary Computation, 1384-1391.

    Google Scholar 

  2. Adomavicius, G., Tuzhilin, A. (2005) Personalization technologies: a process-oriented perspective. Communications of the ACM, 48: 83-90.

    Article  Google Scholar 

  3. Amir, Y., Awerbuch, B., Borgstrom, R.S. (2000) A Cost-Benefit framework for online management of a metacomputing system. Decision Support Systems, 28: 155-164.

    Article  Google Scholar 

  4. Amoroso, D. L., Reinig, B.A. (2004) Personalization management systems: Mini-track introduction. Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04), Big Island, Hawaii, Track 7.

    Google Scholar 

  5. Anagnostopoulos, I., Anagnostopoulos, C., Loumos, V., Kayafas, E. (2004) Classifying Web pages employing a probabilistic neural network. Proceedings of IEEE Vol. 151, 139-150.

    Google Scholar 

  6. Awan, I., Singh, S. (2006) Performance evaluation of e-commerce requests in wireless cellular networks. Information and Software Technology, Available online: 1-9.

    Google Scholar 

  7. Baker, Frank, B. (1992) Item Response Theory: Parameter Estimation Techniques, Marcel Dekker, New York.

    MATH  Google Scholar 

  8. Bautista, M.M., Vila, M.A., Larsen, H. (2000) Building adaptive user profiles by a genetic fuzzy classifier with feature selection. Proceedings of The Ninth IEEE International Conference on Fuzzy Systems, 308-312.

    Google Scholar 

  9. Berners-Lee, T., Hendler, J., Lassila, O. (2001) The semantic web. Scientific American, May 2001: 29--37.

    Google Scholar 

  10. Bonett, M. (2006) Personalization of Web Services: Opportunities and Challenges http://www.ariadne.ac.uk/issue28/personalization/.

  11. Breese, J. S., Heckerman, D., Kadie, C. (1998) Empirical analysis of predictive algorithms for collaborative filtering. Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, Madison, Wisconsin, USA, 43-52.

    Google Scholar 

  12. Burke, R. (1999) The Wasabi Personal Shopper: a case-based recommender systems. Proceedings of the 11th National Conference on Innovative Applications of Artificial Intelligence, Menlo Park, CA, 844-849.

    Google Scholar 

  13. Burke, R. (2000) Knowledge-based recommender systems. Encyclopedia of Library and Information Systems. Kent, A., Ed., Marcel Dekker, New York

    Google Scholar 

  14. Byde, A. (2003) Applying evolutionary game theory to auction mechanism design. Proceedings of IEEE International Conference on E-Commerce, 347-354.

    Google Scholar 

  15. Carbo, J., Molina, J. M. (2004) Agent-based collaborative filtering based on fuzzy recommendations. International Journal of Web Engineering and Technology, 1: 414 - 426.

    Article  Google Scholar 

  16. Chang, E. Schmidt, S. and Steele, R. and Dillon, T. (2005), Applying a fuzzy trust model to e-commerce systems, in Jarvis, R. and Zhang, S. (ed), 18th Australian Joint Conference on Artificial Intelligence (AI), Sydney, Australia, Dec. 2005, 318-329.

    Google Scholar 

  17. Chau, R., Yeh, C. H. (2005) Intelligent techniques for global e-business Web portal development. Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, 334-340.

    Google Scholar 

  18. Chen, C.M., Duh, L.J., Liu, C.Y. (2004a) A personalized courseware recommendation system based on fuzzy item response theory. Proceedings of 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04), Taipei, Taiwan, 305-308.

    Google Scholar 

  19. Chen, Q. Z., Mao, K. J., Zhang, Y., Lu, L. Y. (2004b) Catching potential customers: an example of web-mining-aided e-commerce decisionmaking. Proceedings of the Fifth World Congress on Intelligent Control and Automation, 3986-3990.

    Google Scholar 

  20. Chidambaram, L. (2001) The editor’s column: Why e-Service Journal. e-Service Journal, 1: 1-3.

    Article  Google Scholar 

  21. Cornelis, C., Guo, X., Lu, J., Zhang, G. Q. (2005) A fuzzy relational approach to event recommendation. Proceedings of the Second Indian International Conference on Artificial Intelligence (IICAI-05), Pune, India, 2231-2242.

    Google Scholar 

  22. Crestani, F. (1994) Comparing neural and probabilistic relevance feedback in an interactive information retrieval system. Proceedings of IEEE Int. Conf. on Neural Networks, Orlando, FL, 3426-3430.

    Google Scholar 

  23. Delgado, M., Herrera, F., Herrera-Viedma, E., Martín-Bautista, M. J., Martínez, L., Vila, M. A. (2002) A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on Internet. Soft Computing, 6: 320-328.

    MATH  Google Scholar 

  24. Delgado, M., Herrera, F., Herrera-Viedma, E., Martín-Bautista, M. J., Vila, M. A. (2001) Combining linguistic information in a distributed intelligent agent model for information gathering on the Internet. Computing with Words. Wang, P.P., Ed., John Wiley & Son, 251-276.

    Google Scholar 

  25. Drinjak, J., Altmann, G., Joyce, P. (2001) Justifying investments in electronic commerce. Proceedings of the Twelfth Australia conference on Information Systems, Coffs Habour, Australia, 187-198.

    Google Scholar 

  26. Dubois, D., Fargier, H., Prade, H., (1994) Propagation and Satisfaction of Flexible Constraints. Fuzzy Sets, Neural Networks arid Sott Computing. Yager, R. R. and Zadeh, L. A., Eds., 166-187

    Google Scholar 

  27. Eirinaki, M., Vazirgiannis, M. (2003) Web mining for web personalization. ACM Transactions on Internet Technology, 3: 1-27.

    Article  Google Scholar 

  28. Enrique, H., Eduardo, P., Mar’ıa, D. O., Juan, C. H., Yusef, H. M. (2003) Evaluating the Informative Quality of Web Sites by Fuzzy Computing with Words. Proceedings of Atlantic Web Intelligence Conference. Madrid, Spain, Lecture Notes in Artificial Intelligence 2663: Springer, 62-72

    Google Scholar 

  29. Giaglis, G. M., Paul, R. J., Doukidis, G. I. (1999) Dynamic modelling to assess the business value of electronic commerce. International Journal of Electronic Commerce, 3: 35-51.

    Google Scholar 

  30. Goldszmidt, M., Palma, D., Sabata, B. (2001) On the quantification of e-business capacity. Proceedings of the 3rd ACM Conference on Electronic Commerce, Tampa, Florida, USA, 235-244.

    Google Scholar 

  31. Guo, X., Lu, J. (2004) Effectiveness of E-government Online Ser-vices in Australia. Digital Government: Strategies and Implementation from Developing and Developed Countries. Huang, Siau and Wei, Eds., Idea Group, Inc. 214-241.

    Google Scholar 

  32. Guo, X., Lu, J. (2005) Applying web personalization techniques in E-government services. Proceedings of the 11th Australian World Wide Web Conference, Gold Coast, Australia, 233-238.

    Google Scholar 

  33. Guo, X., Lu, J. (2006) Intelligent e-government services with recommendation techniques. International Journal of Intelligent Systems, Special issue on E-service intelligence: Accepted.

    Google Scholar 

  34. Hahn, J., Kauffman, R. J. (2002) Evaluating selling web site performance from a business value perspective. Proceedings of International conference on e-Business, Beijing, China, 435-443.

    Google Scholar 

  35. Haruechaiyasak, C., Mei-Ling, S., Shu-Ching, C., Xiuqi, L. (2002) Web document classification based on fuzzy association. Proceedings of the 26th Annual Int. Computer Software and Applications Conf., Oxford, UK, 487-492.

    Google Scholar 

  36. Herrera-Viedma, E., Herrera, F., Martínez, L., Herrera, J. C., López, A. G. (2004) Incorporating filtering techniques in a fuzzy multi-agent model for gathering of information on the Web. Fuzzy Sets and Systems, 148: 61-83.

    Article  MathSciNet  MATH  Google Scholar 

  37. E. Herrera-Viedma, E. Peis, M.D. Olvera, Y.H. Montero, J.C. Herrera (2003) Evaluating the informative quality of Web sites by Fuzzy Computing with Words. Atlantic Web Intelligence Conference, AWIC'03. Madrid (Spain), Lecture Notes in Artificial Intelligence 2663, pp.62-72.

    Google Scholar 

  38. Hinnant, C. C., O'looney, J. A. (2003) Examining pre-adoption interest in online innovations: an exploratory study of e-service personalization in the public sector. IEEE Transactions on Engineering Management: 436-447.

    Google Scholar 

  39. Hong, T., Kuo, C., Chi, S. (1999) Mining fuzzy sequential patterns from quantitative data. Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, 962-966.

    Google Scholar 

  40. Hsu, T., Chu, K.M., Chan, H.C. (2002) The fuzzy clustering on market segment. Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 62 1-626.

    Google Scholar 

  41. Jain, V., Krishnapuram, R. (2001) Applications of fuzzy sets in personalization for e-commerce. Proceedings of IFSA-NAFIPS 2001 Conference, 263-268.

    Google Scholar 

  42. Karypis, G. (2001) Evaluation of item-based top-N recommendation algorithms, Proceedings of the ACM 10th International Conference on Information and Knowledge Management, Atlanta, Georgia, 247-254.

    Google Scholar 

  43. Khosla, R., Goonesekera, T. (2003) An online multi-agent e-sales recruitment system. Proceedings of IEEE/WIC International Conference on Web Intelligence, 111-117.

    Google Scholar 

  44. Klir, G. J., Yuan, B. (1995) Fuzzy Sets and Fuzzy Logic: Theory and Applications. Upper Saddle River, Prentice Hall, N.J.247-254.

    MATH  Google Scholar 

  45. Kohonen, T., Kaski, S., Lagus, K., Salojarvi, J., Honkela, J., Paatero, V., Saarela, A. (2000) Self organization of a massive document collection. IEEE Trans. Neural Network, 11: 574-585.

    Article  Google Scholar 

  46. Kowalczyk, R. (1999) On Linguistic Fuzzy Constraint Satisfaction Problems Computing with Words in Intelligent Information Systems. Zadeh, L. A. and Kacprzyk, J., Eds., Kluwer, 166-187.

    Google Scholar 

  47. Kowalczyk, R., Bui, V. (2000) FeNAs: A fuzzy e-negotiation agents system. Proceedings of the Conference on Computational Intelligence for Financial Engineering (CIFEr 2000), NY, 26-29.

    Google Scholar 

  48. Krishnapuram, R., Nasraoui, O., Joshi, A., L.M (2001) Low complexity fuzzy relational clustering algorithms for web mining. IEEE Transactions on Fuzzy Systems 9:595-607.

    Article  Google Scholar 

  49. Kuok, C., Fu, A., Wong, M. H. (1998) Mining fizzy association rules in databases. SIGMOD Record, 27: 41-46.

    Article  Google Scholar 

  50. Lee, C., Seddon, P., Corbitt, B. (1999) Evaluating business value of internet-based business-to-business electronic commerce. Proceedings of 10th Australasian Conference on Information Systems, Wellington, New Zealand, 2: 508-519.

    Google Scholar 

  51. Lee, Y. W., Strong, D. M., Kahn, B. K., Wang, R. Y. (2002) AIMQ: A methodology for information quality assessment. Inf.ormation & Managment, 40: 133-146.

    Article  Google Scholar 

  52. Li, Y., Liu, D. B., Zhang, W. M. (2005) Schema matching using neural network. Proceedings of The 2005 IEEE/WIC/ACM International Conference on Web Intelligence, Paris, 743-746.

    Google Scholar 

  53. Lin, C. (2003) A critical appraisal of customer satisfaction and e-commerce. Managerial Auditing Journal, 18: 202-212.

    Article  Google Scholar 

  54. Liu, J., You, J. (2003) Smart shopper: an agent-based web-mining approach to Internet shopping. IEEE Transactions on Fuzzy Systems, 11: 226-237.

    Article  Google Scholar 

  55. Loia, V., Nikravesh, M., Zadeh, L. A. (2004) Fuzzy Logic and the Internet, Physica-Verlag, Springer.

    Google Scholar 

  56. Lu, J. (2004) Framework and approach for developing intelligent personalized learning recommender systems. Proceedings of the 2nd International Conference on Information Technology and Applications, Harbin, China, CDROM.

    Google Scholar 

  57. Lu, J., Lu, Z. (2004) Development, distribution and evaluation for online tourism services in China. Electronic Commerce Research Journal, 4: 221-239.

    Article  Google Scholar 

  58. Lu, J., Ruan, D., Zhang, G. Q., Zimmermann, H. J. (2007) International Journal of Intelligent Systems, Special Issue on E-Service Intelligence.

    Google Scholar 

  59. Lu, J., Shi, C. G., Zhang, G. Q. (2003) Framework and implementation of a web-based WMODSS. Proceedings of Workshop on Applications, Products and Ser-vices of Web-based Support Systems, in conjunction with IEEE/WIC International Conference on Web Intelligence, Halifax, Canada, 7-11.

    Google Scholar 

  60. Lu, J., Tang, S., Mccullough, G. (2001) An assessment for internet-based electronic commerce development in businesses of New Zealand Electronic Markets: International Journal of Electronic Commerce and Business Media, 11: 107-115.

    Google Scholar 

  61. Lu, J., Zhang, G. Q. (2003) A model for evaluating E-commerce based on cost/benefit and customer satisfaction. Journal of Information Systems Frontiers, 5: 265-277.

    Article  Google Scholar 

  62. Lu, J., Zhang, G. Q., Wu, F. (2005) Web-Based Multi-Criteria Group Decision Support System with Linguistic Term Processing Function. The IEEE Intelligent Informatics Bulletin, 5: 35-43.

    Google Scholar 

  63. Manchala, D. W. (2000) E-commerce trust metrics and models. IEEE Internet Comp. 4: 36-44.

    Article  Google Scholar 

  64. Mobasher, B., Dai, H., Luo, M., Wiltshire, (2002) Discovery of evaluation of aggregate usage profiles for web personalization. Data mining and knowledge discovery, 6 (1): 61-82.

    Article  MathSciNet  Google Scholar 

  65. Nasraoui, O., Petenes, C. (2003) An intelligent web recommendation engine based on fuzzy approximate reasoning. Proceedings of the IEEE International Conference on Fuzzy Systems, St. Louis, MO, 1116-1121.

    Google Scholar 

  66. Nefti, S., Meziane, F., Kasiran, K. (2005) A fuzzy trust model for E-commerce. Proceedings of Seventh IEEE International Conference on E-Commerce Technology (CEC'05), 401-404.

    Google Scholar 

  67. Ng, H., Pan, Y. J., Wilson, T. D. (1998) Business use of the world wide web: A report on further investigations. International Journal of Management, 18: 291-314.

    Google Scholar 

  68. Ngai, E. W. T., Wat, F. K. T. (2005) Fuzzy decision support system for risk analysis in e-commerce development. Decision Support Systems, 40: 235-255.

    Article  Google Scholar 

  69. Nikravesh, M., Azvin, B. (2002) Fuzzy queries, search, and decision support system. International Journal of Soft Computing-Special Issue on Fuzzy Logic and the Internet, 6:373-399.

    MATH  Google Scholar 

  70. Nikravesh, M., Loia, V., Azvine, B. (2002) Fuzzy logic and the Internet (FLINT), Internet, World Wide Web, and Search Engines. International Journal of Soft Computing-Special Issue in fuzzy logic and the Internet, 6:33-37.

    Google Scholar 

  71. Nishio, C., Shiizuka, H. (1995) Competitive market structures constructed from brand-switching data by fuzzy structural modeling. Proceedings of IEEE International Conference on Fuzzy Systems, 819-824.

    Google Scholar 

  72. Ouchiyama, H., Huang, R., Ma, J., Sim, K. M. (2003) An experience-based evolutionary negotiation model. Proceedings of the Fifth International Conference on Computational Intelligence and Multi-media Applications, 212-217.

    Google Scholar 

  73. S. Park (2000), Neural Networks and Customer Grouping in E-Commerce: A Framework Using Fuzzy ART. AIWoRC 2000: 331-336

    Google Scholar 

  74. Parry, D. (2004) A fuzzy ontology for medical document retrieval. Proceedings of the Second Workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation -Volume 32 CRPIT '04, 121-126.

    Google Scholar 

  75. Perny, P., Zucker, J. D. (1999) Collaborative filtering methods based on fuzzy preference relations. Proceedings of the EUROFUSE-SIC, 279 - 285.

    Google Scholar 

  76. Perny, P., Zucker, J. D. (2001) Preference-based search and machine learning for collaborative filtering: the 'Film-Conseil' movie recommender system. Revue I3, 1: 1-40.

    Google Scholar 

  77. Petridis, V., Kaburlasos, V. G. (2001) Clustering and classification in structured data domains using fuzzy lattice neurocomputing (FLN). IEEE Trans. Knowl. Data Eng., 13: 245-260.

    Article  Google Scholar 

  78. Quan, T. T., Hui, S. C., Cao, T. H. (2004a) A Fuzzy FCA-based Approach to Conceptual Clustering for Automatic Generation of Concept Hierarchy on Uncertainty Data. CLA 2004. Proceedings of CLA 2004, 1-12.

    Google Scholar 

  79. Quan, T. T., Hui, S. C., Fong, A. C. M., Cao, T. H. (2004b) Automatic Generation of Ontology for Scholarly Semantic Web. Proceedings of International Semantic Web Conference 2004, 726-740.

    Google Scholar 

  80. Quan, T. T., Siu Cheung Hui, S. C., Cao, T. H. (2004c) FOGA: A fuzzy ontology generation framework for scholarly semantic Web. Proceedings of the Knowledge Discovery and Ontologies (2004), 37-48.

    Google Scholar 

  81. Rialle, V., Meunier, J., Oussedik, S., Nault, G. (1997) Semiotic and modeling computer classification of text with genetic algorithm: analysis and first results. Proceedings of Int. Conf. on Intelligent Systems and Semiotics (ISAS), Gaithersburg, 325-330.

    Google Scholar 

  82. Riecken, D. E. (2000) Personalized views of personalization. Communications of the ACM, 43: 27-28.

    Google Scholar 

  83. Ruan, D. (1997) Intelligent Hybrid Systems, Kluwer Academic Publishers, Boston.

    MATH  Google Scholar 

  84. Schubert, P., Dettling, W. (2002) Extended Web assessment method (EWAM) - evaluation of E-commerce applications from the customer's view-point, Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7, 175-184.

    Google Scholar 

  85. Setnes, M., Kaymak, U. (2001) Fuzzy modeling of client preference from large data sets: an application to target selection in direct marketing. IEEE Trans. on Fuzzy Systems 9:153-163.

    Article  Google Scholar 

  86. Sicilia, M., Garcia, E. (2003) On fuzziness in relationship value segmentation: applications to personalized e-commerce. SIGecom Exch., 4: 1-10.

    Article  Google Scholar 

  87. Smith, A. G. (2001) Applying evaluation criteria to New Zealand government websites. International Journal of Information Management, 21: 137-149.

    Article  Google Scholar 

  88. Srinivasan, S., Anderson, R., Ponnavolu, K. (2002) Customer loyalty in e-commerce: an exploration of its antecedents and consequences. Journal of Retailing, 78: 41-50.

    Article  Google Scholar 

  89. Viswanathan, M., Childers, T. L. (1999) Understanding how product attributes inhence product categorization: development and validation of fuzzy set-based measures of gradedness in product categories. Journal of Marketing Research, XXXVI: 75-94.

    Article  Google Scholar 

  90. Wade, R. M., Nevo, S. (2005) Development and validation of a perceptual instrument to measure E-commerce performance. International Journal of Electronic Commerce, 10: 123.

    Article  Google Scholar 

  91. Wang, C., Lu, J., Zhang, G. Q. (2006) Mining key information of Web pages: a method and its application. Expert Systems with Applications: Accepted.

    Google Scholar 

  92. Widyantoro, D. H., Yen, J. (2001) Using fuzzy ontology for query refine-ment in a personalized abstract search engine. Proceedings of IFSA World Congress and 20th NAFIPS International Conference

    Google Scholar 

  93. Xiong, L., Liu, L. (2003) A reputation-based trust model for peer-to-peer e-commerce communities. Proceedings of IEEE International Conference on E-Commerce, 275-284.

    Google Scholar 

  94. Yager, R. R. (2000) Targeted E-commerce marketing using fuzzy intelligent agents. IEEE Intelligent Systems, 15: 42-45.

    Article  Google Scholar 

  95. Yager, R. R. (2003) Fuzzy logic methods in recommender systems. Fuzzy Sets and Systems, 136: 133-149.

    Article  MathSciNet  MATH  Google Scholar 

  96. Yang, H. W., Pan, Z.G., Wang, X.Z., Xu, B. (2004) A personalized products selection assistance based on e-commerce machine learning. Proceedings of the 2004 International Conference on Machine Learning and Cybernetics, 2629-2633.

    Google Scholar 

  97. Zadeh, L. A. (1965) Fuzzy sets. Information and Control, 8: 338-353.

    Article  MathSciNet  MATH  Google Scholar 

  98. Zadeh, L. A. (1973) Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. Man. and Cybernetics, 3: 28-44.

    MathSciNet  MATH  Google Scholar 

  99. Zadeh, L. A. (1975) The concept of a linguistic variable and its applications to approximate reasoning. Part I, in Information Sciences 8, 199-249. Part II, in Information Sciences 8, 301-357. Part III, in Information Sciences 9, 43-80.

    MathSciNet  Google Scholar 

  100. Zadeh, L. A. (1999) From computing with numbers to computing with words -- from manipulation of measurements to manipulation of perceptions. IEEE Transactions on Circuits and Systems, 45: 105-119.

    MathSciNet  Google Scholar 

  101. Zadeh, A. L. (2003) Web Intelligence and Fuzzy Logic-The Concept of Web IQ (WIQ) keynote in Web Intelligence 2003.

    Google Scholar 

  102. Zadeh, L. A. (2001) A new direction in AI: towards a computational theory of perceptions. AI Magazine, 22: 73-84.

    Google Scholar 

  103. Zeng, C., Xing, C.X., Zhou, L.Z., Zheng, X.H. (2004) Similarity measure and instance selection for collaborative filtering. International Journal of Electronic Commerce, 8: 115 - 129.

    Google Scholar 

  104. Zhang, G. Q., Lu, J. (2005) A linguistic intelligent guide for method selection in multi-objective decision support systems. Special issue on Linguistic Decision Making: Tools and Applications, Information Sciences: Accepted.

    Google Scholar 

  105. Zhang, G. Q., Lu, J., Bai, C. G., Zhang, C. (2004a) Bayesian network based cost benefit factor inference in e-services. Proceedings of the 2nd International Conference on Information Technology and Applications, Harbin, China, CDROM.

    Google Scholar 

  106. Zhang, P., Dran, V. G. (2000) Satisfiers and dissatisfiers: a two-factor model for website design and evaluation Journal of American Association for Information Science (JASIS), 51: 1253-1268.

    Article  Google Scholar 

  107. Zhang, T. Z., Fu, Y. G., Shen, R. M. (2004b) Improve question & answer system by applying genetic algorithm. Proceedings of the 2004 International Conference on Machine Learning and Cy-bernetics, 2317-2321.

    Google Scholar 

  108. Zhang, Y. Q., Shteynberg, M., Prasad, S. K., Sunderraman, R. (2003) Granular fuzzy Web intelligence techniques for profitable data mining. Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 1462-1464.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Lu, J., Ruan, D., Zhang, G. (2007). E-Service Intelligence: An Introduction. In: Lu, J., Zhang, G., Ruan, D. (eds) E-Service Intelligence. Studies in Computational Intelligence, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37017-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-37017-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37015-4

  • Online ISBN: 978-3-540-37017-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics