Abbasi, M., Monsefi, R. & Astiri, A. (2011). A hybrid recommender system using
the natural process technique og Persian language. The first international
conference on Persian language processing, Semnan, Semnan University, 6
September. (in Persian)
Adomavicius, G. & Tuzhilin, A. (2005). Toward the next generation of
recommender systems: A survey of the state-of-the-art and possible
extensions. Knowledge and Data Engineering, IEEE Transactions on, 17(6):
734-749.
Anderson, C. & Hiralall, M. (2009). Recommender systems for e-shops. Business
Mathematics and Informatics paper. Vrije Universiteit, Amsterdam.
Astiri, A., Kahani, M. & Pour-Gholami, F. (2011). A survey of calculating the
semantic similarity of words and sentences using a network of words. The
first international conference on Persian language processing, Semnan,
Semnan University, 6 September. (in Persian)
Berkhin, P. (2006). A survey of clustering data mining techniques. In Grouping
multidimensional data (pp. 25-71). Springer, Berlin Heidelberg. DOI:
10.1007/3-540-28349-8_2.
Cho, Y. H., Kim, J. K. & Kim, S. H. (2002). A personalized recommender system
based on web usage mining and decision tree induction. Expert Systems with
Applications, 23(3): 329-342.
Choi, K., Yoo, D., Kim, G. & Suh, Y. (2012). A hybrid online-product
recommendation system: Combining implicit rating-based collaborative
filtering and sequential pattern analysis. Electronic Commerce Research and
Applications, 11(4): 309-317.
Dai, Y., Ye, H. & Gong, S. (2009). Personalized recommendation algorithm using
user demography information. In Knowledge Discovery and Data Mining,
2009. WKDD 2009. Second International Workshop on (pp. 100-103). IEEE.
Gao, F., Xing, C., Du, X. & Wang, S. (2007). Personalized service system based on
hybrid filtering for digital library. Tsinghua Science & Technology, 12(1): 1-
8.
Gupta, J. & Gadge, J. (2014). A framework for a recommendation system based on
collaborative filtering and demographics. In Circuits, Systems,
Communication and Information Technology Applications (CSCITA), 2014
International Conference on (pp. 300-304). IEEE.
Iwata, T. (2008). Probabilistic user behavior models in online stores for
recommender systems. Doctoral Thesis, Graduate School of Informatics,
Kyoto University.
Josiassen, A., Assaf, A. G. & Karpen, I. O. (2011). Consumer ethnocentrism and
willingness to buy: Analyzing the role of three demographic consumer
characteristics. International Marketing Review, 28(6): 627-646.
Leimstoll, U. & Stormer, H. (2007). Collaborative recommender systems for online
shops. AMCIS 2007 Proceedings, 156. Available in: http://aisel.aisnet.org
/cgi/viewcontent.cgi?article=1666&context=amcis2007.
Liang, Z., Bo, X. & Jun, G. (2009). An Approach of Finding Localized Preferences
Based-On Clustering for Collaborative Filtering. In Web Information Systems
and Mining, 2009. WISM 2009. International Conference on (pp. 19-22).
IEEE.
Linden, G., Smith, B. & York, J. (2003). Amazon. Com recommendations: Item-toitem
collaborative filtering. Internet Computing, IEEE, 7(1): 76-80.
Moghaddam, S. G. & Selamat, A. (2011). A scalable collaborative recommender
algorithm based on user density-based clustering. Data Mining and
Intelligent Information Technology Applications (ICMiA), 2011 3rd
International Conference on (pp. 246-249). IEEE, 24-26 Oct.
Peck, J. & Childers, T. L. (2006). If I touch it I have to have it: Individual and
environmental influences on impulse purchasing. Journal of business
research, 59(6): 765-769.
Schafer, J. B., Konstan, J. A. & Riedl, J. (2001). E-commerce recommendation
applications. Data Mining and Knowledge Discovery, 5 (1-2): 115-153.
Shabib, N. & Nemat Bakhsh, M.A. & Dehkurdi, S.A. (2007). Recommende systems
application in e-commerce. 4th National e-Commerce Conferenc, Ministry of
Commerce, Tehran. (in Persian)
Su, X. & Khoshgoftaar, T. M. (2009). A survey of collaborative filtering
techniques. Advances in artificial intelligence, 2009 (4). DOI:10.1155/2009/
421425.
Vandenbulcke, V., Lecron, F., Ducarroz, C., & Fouss, F. (2013). Customer
segmentation based on a collaborative recommendation system: Application
to a mass retail company. In Proceedings of the 42nd Annual Conference of
the European Marketing Academy.
Vozalis, M. & Margaritis, K. G. (2004). Collaborative filtering enhanced by
demographic correlation. In AIAI Symposium on Professional Practice in AI,
of the 18th World Computer Congress.
Yoon, V. Y., Hostler, R. E., Guo, Z. & Guimaraes, T. (2013). Assessing the
moderating effect of consumer product knowledge and online shopping
experience on using recommendation agents for customer loyalty. Decision
Support Systems, 55(4): 883-893.
Zeng, Z. (2009). An intelligent e-commerce recommender system based on web
mining. International journal of business and management, 4(7): 10.