Entropy-based vs. Similarity-influenced: Attribute selection methods for dialogs tested on different electronic commerce domains

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2416, Issue , 2002, Pages 380-394

  Schmitt, Sascha ^a   Dopichaj, Philipp ^a   Domínguez Marín, Patricia ^b  

^a Rheinland Pfälzische Technische Universität Kaiserslautern Landau   (Germany)

^b FRAUNHOFER INSTITUTE FOR INDUSTRIAL MATHEMATICS ITWM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ENTROPY; INFORMATION USE;

ATTRIBUTE SELECTION; ENTROPY BASED APPROACH; EVALUATION RESULTS; IMPLICIT KNOWLEDGE; RECENT RESEARCHES; SELECTION METHODS; SIMILARITY DISTRIBUTION; SIMILARITY MEASURE;

CASE BASED REASONING;

EID: 84942806946     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46119-1_28     Document Type: Conference Paper

References (20)

1. Auriol, E., Wess, S., Manago, M., Althoff, K.D., Traphöner, R.: INRECA. A Seamlessly Integrated System Based on Inductive Inference and Case-Based Reasoning. In: Veloso, M., Aamodt, A. (eds.): Case-Based Reasoning Research and Development. Proc. of the 1st Internat. Conf. on Case-Based Reasoning, ICCBR’ 95. LNAI 1010, Springer-Verlag (1995)
2. Bergmann, R., Breen, S., Göker, M., Manago, M., Wess, S.: Developing Industrial Case- Based Reasoning Applications. The INRECA-Methodology. LNAI 1612, Springer-Verlag (1999)
3. Bergmann, R., Richter, M.M., Schmitt, S., Stahl, A., Vollrath, I.: Utility-Oriented Matching: A New Research Direction for Case-Based Reasoning. In: Vollrath, I., Schmitt, S., Reimer, U. (eds.): Proc. of the 9th German Workshop on Case-Based Reasoning, GWCBR'01, Baden-Baden, Germany. In: Schnurr, H.-P., Staab, S., Studer, R., Stumme, G., Sure, Y. (Hrsg.): Professionelles Wissensmanagement. Shaker Verlag (2001)
4. Cohen, P.R.: Empirical Methods for Artificial Intelligence. The MIT Press (1995)
5. Cunningham, P., Bergmann, R., Schmitt, S., Traphöner, R., Breen, S., Smyth, B.: WEBSELL: Intelligent Sales Assistants for the World Wide Web. In: Weber, R., Gresse von Wangenheim, C. (eds.): Proc of the Workshop Program at the 4th International Conference on Case-Based Reasoning, ICCBR-2001, Vancouver, Canada. Workshop 3: Case-Based Reasoning in Electronic Commerce (2001)
6. Cunningham, P., Smyth, B.: A comparison of model-based and incremental case-based approaches to electronic fault diagnosis. In: Proc. of the Case-Based Reasoning Workshop at AAAI-94 (1994)
7. Doyle, M., Cunningham, P.: A Dynamic Approach to Reducing Dialog in On-Line Decision Guides. In: Blanzieri, E., Protionale, L. (eds.): Advances in Case-Based Reasoning. Proc. of the 5th European Workshop on Case-Based Reasoning, EWCBR 2000. LNAI 1898, Springer-Verlag (2000)
8. Kohlmaier, A., Schmitt, S., Bergmann, R.: A Similarity-based Approach to Selection in User-Adaptive Sales Dialogs. In: Aha, D.W., Watson, I. (eds.): Case-Based Reasoning Research and Development. Proc. of the 4th International Conference on Case-Based Reasoning, ICCBR-2001. LNAI 2080, Springer-Verlag (2001)
9. Kohlmaier, A., Schmitt, S., Bergmann, R.: Evaluation of a Similarity-based Approach to Customer-adaptive Electronic Sales Dialogs. In: Weibelzahl, S., Chin, D., Weber, G. (eds.): Empirical Evaluation of Adaptive Systems. Proc. of the workshop held at the 8th International Conference on User Modeling (2001)
10. McSherry, D.: Minimizing Dialog Length in Interactive Case-Based Reasoning. In: Proc. of the 17th International Joint Conference on Artificial Intelligence, IJCAI-01, Seattle, USA (2001)
11. Mitchell, T.M.: Machine Learning. McGraw-Hill (1997)
12. Orenge:dialog. In: orenge: Open Retrieval Engine 3.2 Manual. empolis – knowledge management. http://www.km.empolis.com/
13. Quinlan, J.R.: Induction of Decision Trees. Machine Learning 1 (1986)
14. Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo, California (1993)
15. Schmitt, S.: simVar:A Similarity-Influenced Question Selection Criterion for e-Sales Dialogs. In: Burke, R., Cunningham, P. (eds.): Special Issue on AI Approaches to User Requirements Elicitation for E-Commerce. Artificial Intelligence Review. To be published
16. Schmitt, S., Bergmann, R.: A Formal Approach to Dialogs with Online Customers. In: O'Keefe, B., Loebbecke, C., Gricar, J., Pucihar, A., Lenart, G. (eds.): E-Everything: e- Commerce, e-Government, e-Household, e-Democracy. Proc. of the 14th Bled Electronic Commerce Conference. Vol. 1: Research (2001)
17. Smyth, B., Cunningham, P.: A Comparison of Incremental Case-Based Reasoning and Inductive Learning. In: Proc. of the 2nd European Workshop on Case-Based Reasoning, EWCBR’94, Chantilly, France (1994)
18. Stoodley, K.D.C., Lewis, T., Stainton, C.L.S.: Applied Statistical Techniques. Halsted Press (1980)
19. Wilke, W., Lenz, M., Wess, S.: Intelligent Sales Support with CBR. In: Lenz, M., Bartsch- Spörl, B., Burkhard, H.D., Wess, S. (eds.): Case-Based Reasoning Technology. From Foundations to Applications. Springer-Verlag (1998)
20. Yang, Q., Wu, J.: Enhancing the Effectiveness of Interactive Case-Based Reasoning with Clustering and Decision Forests. In: Aha, D., Muñoz-Avila, H. (eds.): Applied Intelligence Journal, Special Issue on Interactive CBR (1999).