Including context in a transactional recommender system using a pre-filtering approach: Two real e-commerce applications

Proceedings - International Conference on Advanced Information Networking and Applications, AINA

Volumn , Issue , 2009, Pages 667-672

  Gorgoglione, M ^a   Panniello, U ^a  

^a POLITECNICO DI BARI   (Italy)

Author keywords

Context; E commerce; Pre filtering; Recommender system; Transactional data

Indexed keywords

CONTEXT; E-COMMERCE; PRE-FILTERING; RECOMMENDER SYSTEM; TRANSACTIONAL DATA;

ELECTRONIC COMMERCE; TECHNICAL PRESENTATIONS;

RESEARCH;

EID: 70350122870     PISSN: 1550445X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WAINA.2009.112     Document Type: Conference Paper

References (20)

1. G. Adomavicius, R. Sankaranarayanan, S. Sen and A. Tuzhilin, "Incorporating contextual information in recommender systems using a multidimensional approach", Transactions on Information Systems 23, ACM, New York, 2005, pp. 103-145.
2. G. Adomavicius and A. Tuzhilin, "Toward the next generation of recommender systems: a survey of the state-of the-art and possible extensions", Transactions on Knowledge and Data Engineering 17, IEEE, Washington, 2005, pp. 734-749.
3. G. Adomavicius and A. Tuzhilin, "Multidimensional recommender systems: a data warehousing approach", Proceedings of the Second International Workshop on Electronic Commerce. Lecture Notes in Computer Science 2232, Springer, London, 2001, pp. 180-192.
4. Anand, A., and B. Mobasher, "Contextual Recommendation" In "From Web to Social Web: Discovering and Deploying User and Content Profiles", Springer, Berlin-Heidelberg, 2007.
5. Anand, S.S., and B. Mobasher, Intelligent techniques in web personalization, Springer, Heidelberg, 2005.
6. M. Balabanovic and Y. Shoham, "Fab: Content-based, collaborative recommendation", Communications of the ACM 40, ACM, New York, 1997, pp. 66-72.
7. J.R. Bettman, M.F. Luce, M.F and J.W. Payne, "Constructive consumer choice processes", Journal of consumer research 25, Chicago Journal, Chicago, 1998, pp. 187-217.
8. V. Bodapati, "Recommendation Systems with Purchase Data", in press in "Journal of Marketing Research".
9. R. Burke, "Hybrid recommender systems: Survey and experiments", User Modeling and User Adapted Interaction 12, ACM, New York, 2002, pp. 331-370.
10. W. Hill, L. Stead, M. Rosenstein and G. Furnas, "Recommending and evaluating choices in a virtual community of use", Proceedings of CHI-95 Conference", ACM, New York, 1995, pp. 194-201.
11. J. Konstan, B. Miller, D. Maltz, J. Herlocker, L. Gordon and J. Riedl, "GroupLens: Applying Collaborative Filtering to Usenet News", Communications of the ACM 40, ACM, New York, 1997, pp. 77-87.
12. th International Conference on Machine Learning, Morgan Kaufmann, San Francisco, 1995, pp.331-339.
13. R. J. Mooney, P. N. Bennett and L. Roy, "Book recommending using text categorization with extracted information", Recommender Systems. Papers from 1998 Workshop. Technical Report WS-98-08, AAAI Press, Menlo Park, 1998, pp. 70-74.
14. D.M. Nicholas, "Implicit rating and filtering", Proceedings of the fifth DELOS Workshop on Filtering and Collaborative Filtering", ERCIM, Budapest, 1998, pp.31-36.
15. M. Pazzani, "A framework for collaborative, content-based and demographic filtering", Artificial Intelligence Review" 13, Kluwer Academic, Norwell, 1999, pp. 393-408.
16. M. Pazzani, J. Muramatsu and D. Billus, "Syskill & Webert: Identifying interesting web sites", Proceeedings of the National Conference on Artificial Intelligence, AAAI Press, Portland, 1996, pp. 54-61.
17. P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom and J. Riedl, "GroupLens: An Open Architecture for Collaborative Filtering of Netnews", Proceedings of CSCW '94, ACM, New York, 1994, pp. 175-186.
18. B.M. Sarwar, G. Karypis, J.A. Konstan and J. Riedl, "Analysis of Recommendation Algorithms for E-Commerce", Proceedings of the ACM EC'00 Conference, ACM, New York, 2000, pp. 158-167.
19. A. Tuzhilin and G. Adomavicius, "Context-Aware Recommender Systems", Tutorial of RecSys'08, ACM, New York, 2008, pp. 335-336.
20. A. Tuzhilin, M. Gorgoglione and C. Palmisano, "Using Context to Improve Predictive Models of Customers in Personalization Applications", "IEEE Transactions on Knowledge and Data Engineering", IEEE, Piscataway, 2008, pp. 1535-1549.