Rough set based personalized recommendation in mobile commerce

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

Volumn 5820 LNCS, Issue , 2009, Pages 370-375

  Shi, Lei ^a   Zhang, Li ^a   Ma, Xinming ^a   Hu, Xiaohong ^a  

^a HENAN AGRICULTURAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR TELEPHONES; CUSTOMER PREFERENCES; LATENT INFORMATION; M-COMMERCE; MOBILE COMMERCE; MOBILE COMMERCE (M-COMMERCE); PERSONALIZED RECOMMENDATION; RIGHT INFORMATION; ROUGH SET; ROUGH-SET BASED; WIRELESS DEVICES;

BLOOD VESSEL PROSTHESES; CELLULAR TELEPHONE SYSTEMS; CUSTOMER SATISFACTION; ELECTRONIC COMMERCE; ROUGH SET THEORY; SALES; TELEPHONE;

MOBILE TELECOMMUNICATION SYSTEMS;

EID: 77949607750     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04875-3_39     Document Type: Conference Paper

References (11)

1. Clarke, I.: Emerging value propositions for m-commerce. Journal of Business Strategies 18(2), 133-148 (2001)
2. Varshney, U., Vetter, R.J., Kalakota, R.: Mobile commerce: A new frontier. IEEE Computer 33(10), 32-38 (2000)
3. Lee, E., Jin, J.: A Next Generation Intelligent Mobile Commerce System. In: Ramamoorthy, C.V., Lee, R., Lee, K.W. (eds.) SERA 2003. LNCS, vol. 3026, pp. 320-331. Springer, Heidelberg (2004)
4. Tsalgatidou, A., Pitoura, E.: Business Models and Transactions in Mobile Electronic Commerce: Requirements and Properties. Computer Networks 37, 221-236 (2001)
5. Pawlak, Z.: Rough Sets. Int. Journal of Computer and Information Sciences 11(5), 341-356 (1982)
6. Shi, L., Xi, L., Duan, Q.: Personalized Web Search System Based on Rough Sets. Computer Science 34(10), 162-164 (2007)
7. Pawlak, Z.: Rough sets: Theoretical aspects of reasoning about data. Kluwer Academic Publishers, Dordrecht (1991)
8. Järvinen, J.: Approximations and Rough Sets Based on Tolerances. Rough Sets and Current Trends in Computing, 182-189 (2000)
9. Ho, T.B., Nguyen, N.B.: Nonhierarchical document clustering based on a tolerance rough set model. International Journal of Intelligent Systems 17(2), 199-212 (2002)
10. Yao, Y.Y.: Information granulation and rough set approximation. International Journal of Intelligent Systems 16, 87-104 (2001)
11. Ngo, C.L., Nguyen, H.S.: A tolerance rough set approach to clustering web search results. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) PKDD 2004. LNCS (LNAI), vol. 3202, pp. 515-517. Springer, Heidelberg (2004)