A Semantic Recommendation Procedure for Electronic Product Catalog
To overcome the product overload of Internet
shoppers, we introduce a semantic recommendation procedure which
is more efficient when applied to Internet shopping malls. The
suggested procedure recommends the semantic products to the
customers and is originally based on Web usage mining, product
classification, association rule mining, and frequently purchasing.
We applied the procedure to the data set of MovieLens Company for
performance evaluation, and some experimental results are provided.
The experimental results have shown superior performance in
terms of coverage and precision.
[1] B.M. Sarwar, G. Karypis, J.A. Konstan, J.T. Riedl, "Item-based
Collaborative Filtering Recommendation Algorithms", In Proc of
WWW 10, 10th International World Wide Web Conference, 2001, pp.
285-295.
[2] M. Deshpande and G. Karypis. "Item-based top-n recommendation
algorithms". ACM Trans. Inf. Syst., 2004, pp.143-177.
[3] J.K. Kim, Y.H. Cho, W.J. Kim, J.R. Kim, J.H. Suh, "A personalized
recommendation procedure for internet shopping support", Electronic
Commerce Research and Applications", 2002, pp. 301-313.
[4] Y.H. Cho, J.K. Kim, and S.H. Kim, "A personalized recommendation
system based on web usage mining and decision tree induction", Expert
Syst. With Applications, Vol. 23, 2002, pp.329-342.
[5] Y. Zhang and J. Jiao, "An Associative Classification-based
Recommendation System for Personalization in B2C E-Commerce
Applications", Expert Systems with Applications, Vol. 33, No. 2, 2007,
Forthcoming.
[6] C.H. Lee, Y.H. Kim, P.K. Rhee, "Web personalization expert with
combining collaborative filtering and association rule mining
technique", Expert Systems With Applications, 2001 - Elsevier.
[7] M. Balabanovic and Y. Shoham, "Fab: Content-Based, Collaborative
Recommendation", Communications of the ACM, vol. 40, 1997, pp. 66-
72.
[8] B. Mobasher, "Web Usage Mining and Personalization", in Practical
Handbook of Internet Computing. M. P. Singh(eds), CRC Press, 2004.
[9] J. B. Schafer, J. Konstan, and J. Riedl. "Recommender systems in ecommerce".
In Proceedings of the 1st ACM Conference on Electronic
Commerce, 1999, pages 158-166.
[10] Y. Benjamin, K. Robin, "Personalization of information access for
electronic catalogs on the web", Electronic Commerce Research and
Applications, 2003.
[11] B. Mobasher, R. Cooley, and J. Srivastava. "Automatic personalization
based on Web usage mining". Communications of the ACM, 2000, 142-
151.
[12] B. Mobasher, S. Anand: "Intelligent Techniques for Web
Personalization", IJCAI 2003 Workshop, ITWP 2003, Acapulco,
Mexico, August 11, 2003, Revised Selected Papers Springer 2005.
[13] G. Antoniou and F. van Harmelen. "Web Ontology Language: OWL". In
S. Staab and R. Studer (Eds), Handbook on Ontologies in Information
Systems, Springer 2003.
[14] B. M. Sarwar, G. Karypis, J. A. Konstan, and John Riedl, "Analysis of
recommendation algorithms for e-commerce", in Proceedings of the 2nd
ACM Conference on Electronic Commerce (EC-00), Minneapolis, MN,
USA, (October 2000), pp. 158-167.
[15] B. Sarwar, G. Karypis, J. Konstan, AND J. Riedl, "Item-based
collaborative filtering recommendation algorithms". In WWW10, 2001.
[16] Y. Yang, B. Padmanabhan, "Evaluation of online personalization
systems: a survey of evaluation schema and a knowledge-based
approach", Journal of electronic commerce, 2005.
[17] G. Karypis, "Experimental evaluation of item-based top-n
recommendation algorithms". In proceeding of the ACM conference on
information and knowledge management. ACM, New York, 2001.
[18] R. Agrawal, T. Imielinski, And A. Swami, "Mining association rules
between sets of items in large databases". In proceeding of 1993 ACMSIGMOD
International conference on Management of Data
(Washington, D.C). ACM, New York, 1993.
[19] MovieLens 2003. Available at http://www.groupLens.org/data
[20] Resnick, P., Varian, H. R. (1997). "Recommender Systems". Special
issue of Communications of the ACM. 40(3).
[21] G. Kowalski, "Information Retrieval Systems: Theory and
implementation". Kluwer Academic publisher, 1997.
[22] C. Aasheim and Gary J. Koehler, "Scanning World Wide Web
Documents with the Vector Space Model," forthcoming Decision
Support Systems.
[23] "Three Automatic Classification", Available at
www.dcs.gla.ac.uk/Keith/Chapter.3/Ch.3.html
[24] G. Salton, A. Wong, and CS Yang , "A Vector Space Model for
Automatic Indexing," Communications of the ACM, vol. 18, nr. 11,
1975, pp 613-620.
[25] M.K. Smith, C. Welty and D.L. McGuinness. "OWL Web Ontology
Language Guide", Available at http://www.w3.org/TR/owl-guide/
[26] H. khosravi Farsani, M.A Nematbakhsh, "Modeling Electronic Product
Catalog using OWL Ontology Language", in Proceedinf of IADIS
Conference, 2006.
[1] B.M. Sarwar, G. Karypis, J.A. Konstan, J.T. Riedl, "Item-based
Collaborative Filtering Recommendation Algorithms", In Proc of
WWW 10, 10th International World Wide Web Conference, 2001, pp.
285-295.
[2] M. Deshpande and G. Karypis. "Item-based top-n recommendation
algorithms". ACM Trans. Inf. Syst., 2004, pp.143-177.
[3] J.K. Kim, Y.H. Cho, W.J. Kim, J.R. Kim, J.H. Suh, "A personalized
recommendation procedure for internet shopping support", Electronic
Commerce Research and Applications", 2002, pp. 301-313.
[4] Y.H. Cho, J.K. Kim, and S.H. Kim, "A personalized recommendation
system based on web usage mining and decision tree induction", Expert
Syst. With Applications, Vol. 23, 2002, pp.329-342.
[5] Y. Zhang and J. Jiao, "An Associative Classification-based
Recommendation System for Personalization in B2C E-Commerce
Applications", Expert Systems with Applications, Vol. 33, No. 2, 2007,
Forthcoming.
[6] C.H. Lee, Y.H. Kim, P.K. Rhee, "Web personalization expert with
combining collaborative filtering and association rule mining
technique", Expert Systems With Applications, 2001 - Elsevier.
[7] M. Balabanovic and Y. Shoham, "Fab: Content-Based, Collaborative
Recommendation", Communications of the ACM, vol. 40, 1997, pp. 66-
72.
[8] B. Mobasher, "Web Usage Mining and Personalization", in Practical
Handbook of Internet Computing. M. P. Singh(eds), CRC Press, 2004.
[9] J. B. Schafer, J. Konstan, and J. Riedl. "Recommender systems in ecommerce".
In Proceedings of the 1st ACM Conference on Electronic
Commerce, 1999, pages 158-166.
[10] Y. Benjamin, K. Robin, "Personalization of information access for
electronic catalogs on the web", Electronic Commerce Research and
Applications, 2003.
[11] B. Mobasher, R. Cooley, and J. Srivastava. "Automatic personalization
based on Web usage mining". Communications of the ACM, 2000, 142-
151.
[12] B. Mobasher, S. Anand: "Intelligent Techniques for Web
Personalization", IJCAI 2003 Workshop, ITWP 2003, Acapulco,
Mexico, August 11, 2003, Revised Selected Papers Springer 2005.
[13] G. Antoniou and F. van Harmelen. "Web Ontology Language: OWL". In
S. Staab and R. Studer (Eds), Handbook on Ontologies in Information
Systems, Springer 2003.
[14] B. M. Sarwar, G. Karypis, J. A. Konstan, and John Riedl, "Analysis of
recommendation algorithms for e-commerce", in Proceedings of the 2nd
ACM Conference on Electronic Commerce (EC-00), Minneapolis, MN,
USA, (October 2000), pp. 158-167.
[15] B. Sarwar, G. Karypis, J. Konstan, AND J. Riedl, "Item-based
collaborative filtering recommendation algorithms". In WWW10, 2001.
[16] Y. Yang, B. Padmanabhan, "Evaluation of online personalization
systems: a survey of evaluation schema and a knowledge-based
approach", Journal of electronic commerce, 2005.
[17] G. Karypis, "Experimental evaluation of item-based top-n
recommendation algorithms". In proceeding of the ACM conference on
information and knowledge management. ACM, New York, 2001.
[18] R. Agrawal, T. Imielinski, And A. Swami, "Mining association rules
between sets of items in large databases". In proceeding of 1993 ACMSIGMOD
International conference on Management of Data
(Washington, D.C). ACM, New York, 1993.
[19] MovieLens 2003. Available at http://www.groupLens.org/data
[20] Resnick, P., Varian, H. R. (1997). "Recommender Systems". Special
issue of Communications of the ACM. 40(3).
[21] G. Kowalski, "Information Retrieval Systems: Theory and
implementation". Kluwer Academic publisher, 1997.
[22] C. Aasheim and Gary J. Koehler, "Scanning World Wide Web
Documents with the Vector Space Model," forthcoming Decision
Support Systems.
[23] "Three Automatic Classification", Available at
www.dcs.gla.ac.uk/Keith/Chapter.3/Ch.3.html
[24] G. Salton, A. Wong, and CS Yang , "A Vector Space Model for
Automatic Indexing," Communications of the ACM, vol. 18, nr. 11,
1975, pp 613-620.
[25] M.K. Smith, C. Welty and D.L. McGuinness. "OWL Web Ontology
Language Guide", Available at http://www.w3.org/TR/owl-guide/
[26] H. khosravi Farsani, M.A Nematbakhsh, "Modeling Electronic Product
Catalog using OWL Ontology Language", in Proceedinf of IADIS
Conference, 2006.
@article{"International Journal of Information, Control and Computer Sciences:58476", author = "Hadi Khosravi Farsani and Mohammadali Nematbakhsh", title = "A Semantic Recommendation Procedure for Electronic Product Catalog", abstract = "To overcome the product overload of Internet
shoppers, we introduce a semantic recommendation procedure which
is more efficient when applied to Internet shopping malls. The
suggested procedure recommends the semantic products to the
customers and is originally based on Web usage mining, product
classification, association rule mining, and frequently purchasing.
We applied the procedure to the data set of MovieLens Company for
performance evaluation, and some experimental results are provided.
The experimental results have shown superior performance in
terms of coverage and precision.", keywords = "Personalization, Recommendation, OWL Ontology,Electronic Catalogs, Classification.", volume = "2", number = "10", pages = "3425-6", }
