How to cite this paper
Gholamian, M., Fathian, M., Julashokri, M & Mehrbod, A. (2011). Improving electronic customers' profile in recommender systems using data mining techniques.Management Science Letters , 1(4), 449-456.
Refrences
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the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering,
17(6), 734 -749.
Albadvi, A., & Shahbazi, M. (2009). A hybrid recommendation technique based on product category
attributes. Expert Systems with Applications, 36(9), 11480 -11488.
Boucher-Ryan, P. D., & Bridge, D. (2006). Collaborative recommending using formal concept analysis.
Knowledge-based Systems, 19(5), 309 -315.
Bult, J. R., & Wansbeek, T. J. (1995). Optimal selection for direct mail. Marketing Science, 14(4), 378-394.
Burke, R. (2002). Hybrid recommender systems: Survey and experiments. User Modeling and User-adapted
Interaction, 12(4), 331-370.
Cheung, K.-W., Kwok, J. T., Law, M. H., & Tsui, K.-Ch. (2003). Mining customer product ratings for
personalized marketing. Decision Support Systems, 35(2), 231-243.
Cho, Y. H., & Kim, J. K. (2004). Application of Web usage mining and product taxonomy to collaborative
recommendations in e-commerce. Expert Systems with Applications, 26(2), 233- 246.
Choi, S. H., Kang, S., & Jeon, J. Y. (2006). Personalized recommendation system based on product
specification values. Expert Systems with Applications, 31(3), 607-616.
Hung, L. P. (2005). A personalized recommendation system based on product taxonomy for one-to-one
marketing online. Expert Systems with Applications, 29(2), 383 -392.
Hwang, C. S. (2010). Genetic algorithms for feature weighting in multi-criteria recommender systems. Journal
of Convergence Information Technology, 5(8), 126-136.
Karypis, G. (2001). Evaluation of item-based top-n recommendation algorithms. In Proceedings of the ACM
CIKM conference, 247-254.
Kim, B. M., Li, Q., Park, C. S., Kim, S. G., & Kim, J. Y. (2006). A new approach for combining content-based
and collaborative filters. Journal of Intelligent Information Systems, 27(1), 79-91.
Lee, C. H., Kim, Y. H., & Rhee, P. K. (2001). Web personalization expert with combining collaborative
filtering and association rule mining technique. Expert Systems with Application, 21(3), 131-137.
Lee, W. P., & Yang, T. H. (2003). Personalizing information appliances: A multi-agent framework for TV
programme recommendation. Expert Systems with Applications, 25(3), 331-341.
Leung, C. W.-K., Chan, S.C.-F., Chung, F.-L. (2006). A collaborative filtering framework based on fuzzy
association rules and multiple-level similarity. Knowledge and Information Systems, 10(3), 357-381.
Lihua, W., Lu, L., Jing, L., & Zongyong, L. (2005). Modeling user multiple interests by an improved GCS
approach. Expert Systems with Applications, 29(4), 757-767.
Liu, D.-R., & Shih, Y.-Y. (2005). Hybrid approaches to product recommendation based on customer life time
value and purchase preferences. The Journal of Systems and Software, 77(2), 181-191.
Liu, D.-R., & Shih, Y.-Y. (2005). Integrating AHP and data mining for product recommendation based on
customer lifetime value. Information & Management, 42(3), 387-400.
Min, S. H., & Han, I. (2005). Detection of the customer time-variant pattern for improving recommender
systems. Expert Systems with Application, 28(2), 189-199.
Montaner, M., Lopez, B., & De La Rosa, J. L. (2003). A taxonomy of recommender agents on the Internet.
Artificial Intelligence Review, 19(4), 285-330.
Park, Y.-J., & Chang, K.-N. (2009). Individual and group behavior-based customer profile model for
personalized product recommendation. Expert Systems with Applications, 36(2), 1932 -1939.
Resnick, P., & Varian, H. R. (1997). Recommender systems. Communication soft the ACM, 40(3), 56-60.
Sarwar, B., Karypis, G., Konstan, J., & Riedl, J. (2001). Item-based collaborative filtering recommendation
algorithms. In Proceedings of the international world wide web conference, Hong Kong, 285-295.
Sarwar, B., Karypis, G., Konstan, J., & Riedl, J. (2000). Analysis of recommendation algorithms for ecommerce.
In Proceedings of the ACM Conference (ElectronicCommerce), 158-167.
Schafer, J.
the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering,
17(6), 734 -749.
Albadvi, A., & Shahbazi, M. (2009). A hybrid recommendation technique based on product category
attributes. Expert Systems with Applications, 36(9), 11480 -11488.
Boucher-Ryan, P. D., & Bridge, D. (2006). Collaborative recommending using formal concept analysis.
Knowledge-based Systems, 19(5), 309 -315.
Bult, J. R., & Wansbeek, T. J. (1995). Optimal selection for direct mail. Marketing Science, 14(4), 378-394.
Burke, R. (2002). Hybrid recommender systems: Survey and experiments. User Modeling and User-adapted
Interaction, 12(4), 331-370.
Cheung, K.-W., Kwok, J. T., Law, M. H., & Tsui, K.-Ch. (2003). Mining customer product ratings for
personalized marketing. Decision Support Systems, 35(2), 231-243.
Cho, Y. H., & Kim, J. K. (2004). Application of Web usage mining and product taxonomy to collaborative
recommendations in e-commerce. Expert Systems with Applications, 26(2), 233- 246.
Choi, S. H., Kang, S., & Jeon, J. Y. (2006). Personalized recommendation system based on product
specification values. Expert Systems with Applications, 31(3), 607-616.
Hung, L. P. (2005). A personalized recommendation system based on product taxonomy for one-to-one
marketing online. Expert Systems with Applications, 29(2), 383 -392.
Hwang, C. S. (2010). Genetic algorithms for feature weighting in multi-criteria recommender systems. Journal
of Convergence Information Technology, 5(8), 126-136.
Karypis, G. (2001). Evaluation of item-based top-n recommendation algorithms. In Proceedings of the ACM
CIKM conference, 247-254.
Kim, B. M., Li, Q., Park, C. S., Kim, S. G., & Kim, J. Y. (2006). A new approach for combining content-based
and collaborative filters. Journal of Intelligent Information Systems, 27(1), 79-91.
Lee, C. H., Kim, Y. H., & Rhee, P. K. (2001). Web personalization expert with combining collaborative
filtering and association rule mining technique. Expert Systems with Application, 21(3), 131-137.
Lee, W. P., & Yang, T. H. (2003). Personalizing information appliances: A multi-agent framework for TV
programme recommendation. Expert Systems with Applications, 25(3), 331-341.
Leung, C. W.-K., Chan, S.C.-F., Chung, F.-L. (2006). A collaborative filtering framework based on fuzzy
association rules and multiple-level similarity. Knowledge and Information Systems, 10(3), 357-381.
Lihua, W., Lu, L., Jing, L., & Zongyong, L. (2005). Modeling user multiple interests by an improved GCS
approach. Expert Systems with Applications, 29(4), 757-767.
Liu, D.-R., & Shih, Y.-Y. (2005). Hybrid approaches to product recommendation based on customer life time
value and purchase preferences. The Journal of Systems and Software, 77(2), 181-191.
Liu, D.-R., & Shih, Y.-Y. (2005). Integrating AHP and data mining for product recommendation based on
customer lifetime value. Information & Management, 42(3), 387-400.
Min, S. H., & Han, I. (2005). Detection of the customer time-variant pattern for improving recommender
systems. Expert Systems with Application, 28(2), 189-199.
Montaner, M., Lopez, B., & De La Rosa, J. L. (2003). A taxonomy of recommender agents on the Internet.
Artificial Intelligence Review, 19(4), 285-330.
Park, Y.-J., & Chang, K.-N. (2009). Individual and group behavior-based customer profile model for
personalized product recommendation. Expert Systems with Applications, 36(2), 1932 -1939.
Resnick, P., & Varian, H. R. (1997). Recommender systems. Communication soft the ACM, 40(3), 56-60.
Sarwar, B., Karypis, G., Konstan, J., & Riedl, J. (2001). Item-based collaborative filtering recommendation
algorithms. In Proceedings of the international world wide web conference, Hong Kong, 285-295.
Sarwar, B., Karypis, G., Konstan, J., & Riedl, J. (2000). Analysis of recommendation algorithms for ecommerce.
In Proceedings of the ACM Conference (ElectronicCommerce), 158-167.
Schafer, J.