A hybrid approach for knowledge-based product recommendation

Communications in Computer and Information Science

Volumn 31, Issue , 2009, Pages 268-279

  Godse, Manish ^a   Sonar, Rajendra ^a   Jadhav, Anil ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Knowledge based recommendation; Product recommendation

Indexed keywords

INFORMATION MANAGEMENT; INFORMATION SYSTEMS; KNOWLEDGE BASED SYSTEMS;

CASEBASED REASONINGS (CBR); HYBRID APPROACH; INDIVIDUAL FEATURES; KNOWLEDGE BASED; KNOWLEDGE-BASED RECOMMENDATIONS; PRODUCT CATALOGS; PRODUCT RECOMMENDATION; RULE BASED REASONING;

CASE BASED REASONING;

EID: 65949108368     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-00405-6_29     Document Type: Article

References (23)

1. Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AI Communications 7(1), 39-52 (1994)
2. Ricci, F., Nguyen, Q.N.: Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System. IEEE Intelligent systems 22(3), 22-29 (2007)
3. Linden, G., Smith, B., York, J.: Amazon.com Recommendations Item-to-Item Collaborative Filtering. IEEE Internet Computing, 76-80 (January-February 2003)
4. Konstan, J.A., Miller, B.N., Maltz, D., Herlocker, J.L., Gordon, L.R., Riedl, J.: Grou-pLens: applying collaborative filtering to Usenet news. Communications of the ACM 40(3), 77-87 (1997)
5. Resnick, P., Varian, H.R.: Recommander Systems. Communications of the ACM 40(3), 56-58 (1997)
6. Burke, R.: Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction 12(4), 331-370 (2002)
7. Lawrence, R.D., Almasi, G.S., Kotlyar, V., Viveros, M.S., Duri, S.S.: Personalization of supermarket product recommendations. Data Mining and Knowledge Discovery 5(1-2), 11-32 (2001)
8. Sonar, R.M.: An Enterprise Intelligent System Development and Solution Framework. International journal of applied science, engineering and technology 4(1), 1307-4318 (2007)
9. Burke, R.: Knowledge-based Recommender Systems. In: Kent, A. (ed.) Encyclopedia of Library and Information Systems, New York, vol. 69(32) (2000)
10. Micarelli, A., Gasparetti, F., Sciarrone, F., Gauch, S.: Personalized search on the world wide web. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 195-230. Springer, Heidelberg (2007)
11. Felfernig, A., Gula, B., Leitner, G., Maier, M., Melcher, R., Teppan, E.: Persuasion in knowledge-based recommendation. In: Oinas-Kukkonen, H., Hasle, P., Harjumaa, M., Segerståhl, K., Øhrstrøm, P. (eds.) PERSUASIVE 2008. LNCS, vol. 5033, pp. 71-82. Springer, Heidelberg (2008)
12. Stahl, A.: Combining case-based and similarity-based product recommendation. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds.) ECCBR 2006. LNCS (LNAI), vol. 4106, pp. 355-369. Springer, Heidelberg (2006)
13. Smyth, B.: Case-based recommendation. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 342-376. Springer, Heidelberg (2007)
14. Pazzani, M.J., Billsus, D.: Content-based recommendation systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 325-341. Springer, Heidelberg (2007)
15. Lim, M., Kim, J.: An adaptive recommendation system with a coordinator agent. In: Zhong, N., Yao, Y., Ohsuga, S., Liu, J. (eds.) WI 2001. LNCS, vol. 2198, pp. 438-442. Springer, Heidelberg (2001)
16. Burke, R.: Hybrid recommender systems with case-based components. In: Funk, P., Gon-zález Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 91-105. Springer, Heidelberg (2004)
17. Burke, R.: Hybrid systems for personalized recommendations. In: Mobasher, B., Anand, S.S. (eds.) ITWP 2003. LNCS (LNAI), vol. 3169, pp. 133-152. Springer, Heidelberg (2005)
18. Burke, R.: Hybrid web recommender systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 377-408. Springer, Heidelberg (2007)
19. Aguzzoli, S., Avesani, P., Massa, P.: Collaborative case-based recommender systems. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, p. 460. Springer, Heidelberg (2002)
20. Nguyen, A., Denos, N., Berrut, C.: Improving New User Recommendations with Rule-based Induction on Cold User Data. In: ACM conference on Recommender systems, pp. 121-128 (2007)
21. Ishikawa, M., Geczy, P., Izumi, N., Morita, T., Yamaguchi, T.: Information Diffusion Approach to Cold-Start Problem. In: 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops (wi-iatw), pp. 129-132 (2007)
22. Rubens, N., Sugiyama, M.: Influence-based collaborative active learning. In: ACM Conference On Recommender Systems, pp. 145-148 (2007)
23. Burke, R.: Integrating Knowledge-Based and Collaborative-Filtering Recommender Systems. In: AAAI Workshop on AI in Electronic Commerce, pp. 69-72. AAAI, Menlo Park (1999)