An approach to expert recommendation based on fuzzy linguistic method and fuzzy text classification in knowledge management systems

Expert Systems with Applications

Volumn 38, Issue 7, 2011, Pages 8586-8596

  Li, Ming ^a,b   Liu, Lu ^b   Li, Chuan Bo ^c  

^a CHINA UNIVERSITY OF PETROLEUM   (China)

^b BEIHANG UNIVERSITY   (China)

^c SHENYANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Expert recommendation; Fuzzy linguistic modeling; Knowledge management system; Text categorization

Indexed keywords

AIRCRAFT INDUSTRIES; EXPERT RECOMMENDATIONS; FUZZY LINGUISTIC MODELING; FUZZY LINGUISTICS; KNOW-HOW; KNOWLEDGE AREAS; KNOWLEDGE MANAGEMENT SYSTEM; PROTOTYPE SYSTEM; TACIT KNOWLEDGE; TEXT CATEGORIZATION; TEXT CLASSIFICATION; TEXT CLASSIFIERS; USER PROFILE;

KNOWLEDGE BASED SYSTEMS; KNOWLEDGE MANAGEMENT; LINGUISTICS; MANAGEMENT; TECHNOLOGY TRANSFER; TEXT PROCESSING;

KNOWLEDGE ACQUISITION;

EID: 79952438361     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.01.062     Document Type: Article

References (61)

1. H.J. Ahn Utilizing popularity characteristics for product recommendation International Journal of Electronic Commerce 11 2 2006 59 80
2. M. Alavi, and D.E. Leidner Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues MIS Quarterly 25 1 2001 107 136 (Pubitemid 33738451)
3. A. Ansari, S. Essegaier, and R. Kohli Internet recommendation systems Journal of Marketing Research 37 3 2000 363 375
4. B. Arfi Fuzzy decision making in politics. A linguistic fuzzy-set approach (LFSA) Political Analysis 13 1 2005 23 56
5. R. Baeza-Yates, and B. Ribeiro-Neto Modern information retrieval 1999 Addison-Wesley Boston, MA, USA
6. Baker, L. D., McCallum, A. K. (1998). Distributional clustering of word for text classification. In Proceedings of the 21st annual international conference on research and development in information retrieval (pp. 96-103).
7. M. Balabanović, and Y.S. Fab Content-based, collaborative recommendation Communications of the ACM 40 3 1997 66 72 (Pubitemid 127441133)
8. S.L. Bang, J.D. Yang, and H.J. Yang Hierarchical document categorization with k-NN and concept-based thesauri Information Processing and Management 42 2 2006 387 406 (Pubitemid 41394168)
9. Basu, C., Hirsh, H., Cohen, W. (1998). Recommendation as classification: Using social and content-based information in recommendation. In Proceedings of the 15th national conference on artificial intelligence (pp. 714-720).
10. F.J. Cabrerizo, S. Alonso, and E. Herrera-Viedma A consensus model for group decision making problems with unbalanced fuzzy linguistic information International Journal of Information Technology and Decision Making 8 2009 1 23
11. Y. Cao, and Y. Li An intelligent fuzzy-based recommendation system for consumer electronic products Expert Systems with Applications 33 1 2007 230 240 (Pubitemid 44959933)
12. K.W. Cheung, J.T. Kwok, M.H. Law, and K.C. Tsui Mining customer product ratings for personalized marketing Decision Support Systems 35 2 2003 231 243
13. K.W. Cheung, K.C. Tsui, and J.M. Liu Extended latent class models for collaborative recommendation IEEE Transactions on Systems, Man, and Cybernetics (Part A) 34 1 2004 143 148
14. Claypool, M., Gokhale, A., Miranda, T. (1999). Combining content-based and collaborative filters in an online newspaper. In Proceedings of the ACM SIGIR-99 workshop on recommender systems-implementation and evaluation. Berkeley, USA, 1999.
15. T.H. Davenport, and L. Prusak Working knowledge 1998 Harvard Business School Press Boston. MA
16. Dumais, S., Chen, H. (2000). Hierarchical classification of Web content. In Proceedings of the 23rd annual international conference on research and development in information retrieval (pp. 256-263). Athens, Greece.
17. Good, N., Shafer, J. B., Konstan, J. A., Borchers, A., Sarwar, B. M., Herlocker, J. L., et al. (1999). Combining collaborative filtering with personal agents for better recommendations. In Proceedings of the 16th national conference on artificial intelligence (pp. 439-446).
18. U. Hanani, B. Shapira, and P. Shoval Information filtering: Overview of issues, research and systems User Modeling and User-Adapted Interaction 11 2001 203 259 (Pubitemid 32594373)
19. M.T. Hansen, N. Nohria, and T. Tierney What's your strategy for managing knowledge? Harvard Business Review 77 2 1999 106 116
20. F. Herrera, E. Herrera-Viedma, and J.L. Verdegay Direct approach processes in group decision making using linguistic OWA operators Fuzzy Sets and Systems 79 1996 175 190 (Pubitemid 126667399)
21. F. Herrera, and L. Martínez A 2-tuple fuzzy linguistic representation model for computing with words IEEE Transactions on Fuzzy Systems 8 6 2000 746 752
22. E. Herrera-Viedma Modeling the retrieval process of an information retrieval system using an ordinal fuzzy linguistic approach Journal of the American Society for Information Science and Technology 52 6 2001 460 475 (Pubitemid 32371537)
23. E. Herrera-Viedma An information retrieval system with ordinal linguistic weighted queries based on two weighting elements International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9 2001 77 88
24. E. Herrera-Viedma, and A.G. López-Herrera A model of information retrieval system with unbalanced fuzzy linguistic information International Journal of Intelligent Systems 22 11 2007 1197 1214 (Pubitemid 350076105)
25. E. Herrera-Viedma, A.G. López-Herrera, M. Luque, and C. Porcel A fuzzy linguistic irs model based on a 2-tuple fuzzy linguistic approach International Journal of Uncertainty, Fuzziness and Knowledge-based Systems 15 2 2007 225 250 (Pubitemid 46675090)
26. E. Herrera-Viedma, A.G. López-Herrera, and C. Porcel Tuning the matching function for a threshold weighting semantics in a linguistic information retrieval system International Journal of Intelligent Systems 20 9 2005 921 993
27. E. Herrera-Viedma, G. Pasi, A.G. López-Herrera, and C. Porcel Evaluating the information quality of web sites: A methodology based on fuzzy computing with words Journal of the American Society for Information Science and Technology 57 4 2006 538 549
28. E. Herrera-Viedma, and E. Peis Evaluating the informative quality of documents in SGML-format using fuzzy linguistic techniques based on computing with words Information Processing and Management 39 2 2003 233 249
29. J.A. Konstan, B.N. Miller, D. Maltz, J.L. Herlocker, L.R. Gordon, and J. Riedl GroupLens: Applying collaborative filtering to usenet news Communications of the ACM 40 3 1997 77 87 (Pubitemid 127441134)
30. K. Kreiner Tacit knowledge management: The role of artifacts Journal of Knowledge Management 6 2 2002 112 123
31. Lang, K. (1995). NewsWeeder: Learning to filter netnews. In Proceedings of the 12th international conference on machine learning (pp. 331-339). Tahoe City, California.
32. Larkey, L., Croft, W. B. (1996). Combining classifiers in text categorization. In Proceedings of the 19th international conference on research and development in information retrieval (pp.289-297). Zurich, Switzerland.
33. E. Lazcorreta, F. Botella, and A. Fernández-Caballero A towards personalized recommendation by two-step modified Apriori data mining algorithm Expert Systems with Applications 35 3 2008 1422 1429
34. Lewis, D. D. (1998). Naive (Bayes) at forty: The independence assumption in information retrieval. In The 10th European conference on machine learning (pp. 4-15).
35. Lewis, D. D., Ringuette, M. (1994). Comparison of two learning algorithms for text categorization. In Proceedings of the third annual symposium on document analysis and information retrieval.
36. Liang, T. P., Lai, H. J. (2002). Discovering user interests from web browsing behavior: An application to Internet news services, In Proceedings of the 35th annual Hawaii international conference on system sciences (pp. 203-212). Big Island, Hawaii, USA.
37. T.P. Liang, H.J. Lai, and Y.C. Ku Personalized content recommendation and user satisfaction: Theoretical synthesis and empirical findings Journal of Management Information Systems 23 3 2006 45 70
38. T.P. Liang, Y.F. Yang, D.N. Chen, and Y.C. Ku A semantic-expansion approach to personalized knowledge recommendation Decision Support Systems 45 3 2008 401 412
39. S. Liao Knowledge management technologies and applications - literature review from 1995 to 2002 Expert Systems with Applications 25 2 2003 155 164
40. G. Linden, B. Smith, and J. York Amazon.com recommendations: Item-to-item collaborative filtering IEEE Internet Computing 7 1 2003 76 80
41. D.R. Liu, C.H. Lai, and C.W. Huang Document recommendation for knowledge sharing in personal folder environments Journal of Systems and Software 81 8 2008 1377 1388
42. D.R. Liu, and Y.Y. Shih Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences Journal of Systems and Software 77 2 2005 181 191
43. C.C. Lu, and V.S. Tseng A novel method for personalized music recommendation Expert Systems with Applications 36 6 2009 10035 10044
44. C. Macdonald, and I. Ounis Voting techniques for expert search Knowledge and Information Systems 16 3 2007 259 280
45. F. Mata, L. Martínez, and E. Herrera-Viedma An adaptive consensus support model for group decision making problems in a multi-granular fuzzy linguistic context IEEE Transactions on Fuzzy Systems 17 2 2009 279 290
46. Mooney, R. J., Roy, L. (2000). Content-based book recommending using learning for text categorization. In Proceedings of the fifth ACM conference on digital libraries (pp. 195-204). San Antonio.
47. I. Nonaka, and H. Takeuchi The knowledge-creating company: How Japanese companies create the dynamics of innovation 1995 Oxford University Press New York
48. Oard, D. W., Kim, J. (1998). Implicit feedback for recommender systems. In Proceedings of AAAI workshops on recommender systems, Madison (pp. 81-83).
49. M. Polanyi The tacit dimension 1967 Routledge & Kegan Paul Ltd. London
50. Popescul, A., Ungar, L. H., Pennock, D. M., Lawrence, S. (2001). Probabilistic models for unified collaborative and content-based recommendation in space-data environments. In Proceedings of the 17th conference on uncertainty in artificial intelligence (pp. 437-444).
51. M.E. Renda, and U. Straccia A personalized collaborative digital library environment: A model and an application Information Processing and Management 41 2005 5 21
52. H. Sakagami, and T. Kamba Learning personal preferences on online newspaper articles from user behaviors Computer Networks and ISDN Systems 29 1997 1447 1455
53. F. Sebastiani Machine learning in automated text categorization ACM Computing Surveys 34 1 2002 1 47
54. Y.Y. Shih, and D.R. Liu Product recommendation approaches: Collaborative filtering via customer lifetime value and customer demands Expert Systems with Applications 35 1-2 2008 350 360
55. S. Tan An effective refinement strategy for KNN text classifier Expert Systems with Applications 30 2 2006 290 298 (Pubitemid 41745051)
56. S.S. Weng, and M.J. Liu Feature-based recommendation for one-to one marketing Expert Systems with Applications 26 4 2004 493 508
57. I.C. Wu, D.R. Liu, and P.C. Chang Toward incorporating a task-stage identification technique into the long-term document support process Information Processing and Management 44 5 2008 1649 1672
58. Y. Yang An evaluation of statistical approach to text categorization Information Retrieval 1 1/2 1999 69 90
59. Yang, Y., Liu, X. (1999). A re-examination of text categorization methods. In Proceedings of the 22nd annual international conference on research and developments in information retrieval (pp. 42-49).
60. K.W. Yang, and S.Y. Huh Automatic expert identification using a text categorization technique in knowledge management systems Expert Systems with Applications 34 2 2008 1445 1455
61. D. Yimam-Seid, and A. Kobsa Expert finding systems for organizations: Problem and domain analysis and the DEMOIR approach Journal of Organizational Computing and Electronic Commerce 13 1 2003 1 24 (Pubitemid 37073353)