Collaborative Web Recommendation Systems based on an effective Fuzzy Association Rule Mining Algorithm (FARM)
Y. Balabanovic and Y. Shoham, “Fab: content-based, collaborative recommendation”, Communications of the ACM, Vol. 40, Issue 3, 1997, pp. 66-72.
Jon Herlocker, Joseph Konstan, Al Borchers, John Riedl, "An algorithmic framework for performing collaborative filtering", Proceedings of the 1999 Conference on Research and Development in Information Retrieval pp263-266, 1999.
B.M. Sarwar et al., “Item-Based Collaborative Filtering Recommendation Algorithms,” 10th International World Wide Web Conference, ACM Press, 2001, pp. 285-295.
Hill, W., L. Stead, M. Rosenstein, and G. Furnas, “Recommending and evaluating choices in a virtual community of use”, in Proceedings of CHI’95.
Gabor Takacs, Istvan Pilaszy, Bottyan Nemeth, and Domonkos Tikk, “Scalable Collaborative Filtering Approaches for Large Recommender Systems,” The Journal of Machine Learning Research, vol. 10, pp. 623-656, 2009.
Jian Chen, Roman Y. Shtykh, and Qun Jin, “A Web Recommender System Based on Dynamic Sampling of User Information Access Behaviors,” Ninth IEEE International Conference on Computer and Information Technology, vol. 2, pp. 172-177, 2009.
Satoshi Niwa, Takuo Doi, and Shinichi Honiden, “Web Page Recommender System based on Folksonomy Mining,” Proceedings of the Third International Conference on Information Technology: New Generations, IEEE Computer Society, pp. 388-393, 2006.
Nima Taghipour, and Ahmad Kardan, “A hybrid web recommender system based on Q-learning,” Proceedings of the 2008 ACM symposium on Applied computing, pp. 1164-1168, 2008.
M.K. Kavitha Devi, and P. Venkatesh, “ICRS: an intelligent collaborative recommender system for electronic purchasing,” International Journal of Business Excellence 2009, vol. 2, no. 2, pp. 179-193, 2009.
Cheng-Lung Huang, and Wei-Liang Huang, “Handling sequential pattern decay: Developing a two-stage collaborative recommender system,” Elsevier, Electronic Commerce Research and Applications, vol. 8, no. 3, pp. 117-129, 2009.
Weiyang Lin, Sergio A. Alvarez, and Carolina Ruiz, “Efficient Adaptive-Support Association Rule Mining for Recommender Systems,” Journal on Data Mining and Knowledge Discovery, vol. 6, no. 1, pp. 83-105, 2004.
Jason J. Jung, “Collaborative Web Browsing Based on Semantic Extraction of User Interests with Bookmarks,” Journal of Universal Computer Science, vol. 11, no. 2, pp. 213-228, 2005.
Marko Balabanovic, and Yoav Shoham, “Fab: content-based, collaborative recommendation,” Communications of the ACM, vol. 40, no. 3, pp. 66-72, 1997.
Lee, C.-H., Chen, M.-S., Lin, C.-R. , “Progressive Partition Miner, an Efficient Algorithm for Mining General Temporal Association Rules,” IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 4, (2003), 1004 - 1017.
M. Nakagawa and B. Mobasher, “ A hybrid web personalization model based on site connectivity”, in WebKDD Workshop at the ACM SIGKKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, August 2003.
Muyeba M, M. Sulaiman Khan, M. Malik, Z. and Tjortjis, C. “Towards Healthy Association Rule Mining (HARM), A Fuzzy Quantitative Approach”, In Proc. 7th Conf. Intelligent Data Engineering Automated Learning, Lecture Notes in Computer Science Series, Vol. 4224, Springer-Verlag, (2006), 1014-1022.
Dubois, D., Hüllermeier, E. and Prade, H., “A Systematic Approach to the Assessment of Fuzzy Association Rules,” Data Mining and Knowledge Discovery Journal, Vol. 13, No. 2, (2006), 167 – 192.
M. Gery and H. Haddad, “Evaluation of Web Usage Mining Approaches for User’s Next Request Prediction”, Proceedings of the fifth ACM international workshop on Web information and data management, 2003, pp. 74–81.
B. Mobasher, R. Cooley, J. Srivastava, “Automatic Personalization based on Web Usage Mining”, Communications of the ACM, 43 (8), 2000, pp. 142-151.
Rakesh Agrawal and Ramakrishnan Srikant,” Fast Algorithms for Mining Association Rules”, IBM Almaden Research.
Gyenesei, A., “A Fuzzy Approach for Mining Quantitative Association Rules,” Acta Cybernetical, Vol. 15, No. 2, (2001), 305-320.
Kuok, C., Fu, A., & Wong, H., “Mining Fuzzy Association Rules in Databases”. ACM SIGMOD Record, 27, (1998), 41-46.
B. Xu, J. Lu, Y. Zhang, L. Xu, H. Chen and H. Yang. “Parallel Algorithm for Mining Fuzzy Association Rule”, Int’l Conf. on Cuberworld, Singapore, 2003.
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