How to cite this paper
Mombeini, T., Harounabadi, A & Sheshdeh, J. (2014). Constructing a web recommender system using web usage mining and user’s profiles.Management Science Letters , 4(12), 2479-2486.
Refrences
AlMurtadha, Y. M., Sulaiman, M. N., Mustapha, N., & Udzir, N. I. (2010). Mining web navigation profiles for recommendation system. Information Technology Journal, 9(4), 790-796.
AlMurtadha, Y., Sulaiman, M. N., Mustapha, N., & Udzir, N. I. (2011). IPACT: Improved web page recommendation system using profile aggregation based on clustering of transactions. American Journal of Applied Sciences, 8(3), 277-283
Anand, S. S., & Mobasher, B. (2003, August). Intelligent techniques for web personalization. In Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization (pp. 1-36). Springer-Verlag.
Barrueco Cruz, J. M., & Krichel, T. (2002). Automatic extraction of citation data in a distributed digital library.. Proceedings of the 2nd International Workshop on New Developments in Digital Libraries, pp. 23-31.
Castellano, G., Fanelli, A. M., & Torsello, M. A. (2011). NEWER: A system for NEuro-fuzzy WEb Recommendation. Applied Soft Computing, 11(1), 793-806.
G?ksedef, M., & Gündüz-??üdücü, ?. (2010). Combination of Web page recommender systems. Expert Systems with Applications, 37(4), 2911-2922.
Janssens, F., Zhang, L., Moor, B. D., & Gl?nzel, W. (2009). Hybrid clustering for validation and improvement of subject-classification schemes. Information Processing & Management, 45(6), 683-702.
Liu, H., & Ke?elj, V. (2007). Combined mining of Web server logs and web contents for classifying user navigation patterns and predicting users’ future requests. Data & Knowledge Engineering, 61(2), 304-330.
Lucas, J. P., Laurent, A., Moreno, M. N., & Teisseire, M. (2012). A fuzzy associative classification approach for recommender systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20(04), 579-617.
Mobasher, B., Cooley, R., & Srivastava, J. (2000). Automatic personalization based on Web usage mining. Communications of the ACM, 43(8), 142-151.
Mustapa?a, O., Karahoca, D., Karahoca, A., Yücel, A., & Uzunboylu, H. (2010). Implementation of semantic web mining on e-learning. Procedia-Social and Behavioral Sciences, 2(2), 5820-5823.
Nasraoui, O., Soliman, M., Saka, E., Badia, A., & Germain, R. (2008). A web usage mining framework for mining evolving user profiles in dynamic web sites.Knowledge and Data Engineering, IEEE Transactions on, 20(2), 202-215.
Pierrakos, D., Paliouras, G., Papatheodorou, C., & Spyropoulos, C. D. (2003). Web usage mining as a tool for personalization: A survey. User modeling and user-adapted interaction, 13(4), 311-372.
Taghipour, N., & Kardan, A. (2008, March). A hybrid web recommender system based on q-learning. In Proceedings of the 2008 ACM symposium on Applied computing (pp. 1164-1168). ACM.
Tyagi, N. K., Solanki, A. K., & Wadhwa, M. (2010). Analysis of Server Log by Web Usage Mining for Website Improvement. International Journal of Computer Science Issues, 7(4), 17-21.
Tikk, D., & Bir?, G. ( 2001). Sugeno-Yasukawa fuzzy modelling: survey and improvements. 2nd International Symposium of Hungarian Researchers on Computational Intelligence, Budapest, 175-186.
Unler, A., & Murat, A. (2010). A discrete particle swarm optimization method for feature selection in binary classification problems. European Journal of Operational Research, 206(3), 528-539.
Wu, J., & Wu, Z. (2013). Improved fuzzy c-means clustering for personalized product recommendation. Research Journal of Applied Sciences, Engineering and Technology, 6(3), 393-399.
Xu, R., & Wunsch, D. (2005). Survey of clustering algorithms. Neural Networks, IEEE Transactions on, 16(3), 645-678.
AlMurtadha, Y., Sulaiman, M. N., Mustapha, N., & Udzir, N. I. (2011). IPACT: Improved web page recommendation system using profile aggregation based on clustering of transactions. American Journal of Applied Sciences, 8(3), 277-283
Anand, S. S., & Mobasher, B. (2003, August). Intelligent techniques for web personalization. In Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization (pp. 1-36). Springer-Verlag.
Barrueco Cruz, J. M., & Krichel, T. (2002). Automatic extraction of citation data in a distributed digital library.. Proceedings of the 2nd International Workshop on New Developments in Digital Libraries, pp. 23-31.
Castellano, G., Fanelli, A. M., & Torsello, M. A. (2011). NEWER: A system for NEuro-fuzzy WEb Recommendation. Applied Soft Computing, 11(1), 793-806.
G?ksedef, M., & Gündüz-??üdücü, ?. (2010). Combination of Web page recommender systems. Expert Systems with Applications, 37(4), 2911-2922.
Janssens, F., Zhang, L., Moor, B. D., & Gl?nzel, W. (2009). Hybrid clustering for validation and improvement of subject-classification schemes. Information Processing & Management, 45(6), 683-702.
Liu, H., & Ke?elj, V. (2007). Combined mining of Web server logs and web contents for classifying user navigation patterns and predicting users’ future requests. Data & Knowledge Engineering, 61(2), 304-330.
Lucas, J. P., Laurent, A., Moreno, M. N., & Teisseire, M. (2012). A fuzzy associative classification approach for recommender systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20(04), 579-617.
Mobasher, B., Cooley, R., & Srivastava, J. (2000). Automatic personalization based on Web usage mining. Communications of the ACM, 43(8), 142-151.
Mustapa?a, O., Karahoca, D., Karahoca, A., Yücel, A., & Uzunboylu, H. (2010). Implementation of semantic web mining on e-learning. Procedia-Social and Behavioral Sciences, 2(2), 5820-5823.
Nasraoui, O., Soliman, M., Saka, E., Badia, A., & Germain, R. (2008). A web usage mining framework for mining evolving user profiles in dynamic web sites.Knowledge and Data Engineering, IEEE Transactions on, 20(2), 202-215.
Pierrakos, D., Paliouras, G., Papatheodorou, C., & Spyropoulos, C. D. (2003). Web usage mining as a tool for personalization: A survey. User modeling and user-adapted interaction, 13(4), 311-372.
Taghipour, N., & Kardan, A. (2008, March). A hybrid web recommender system based on q-learning. In Proceedings of the 2008 ACM symposium on Applied computing (pp. 1164-1168). ACM.
Tyagi, N. K., Solanki, A. K., & Wadhwa, M. (2010). Analysis of Server Log by Web Usage Mining for Website Improvement. International Journal of Computer Science Issues, 7(4), 17-21.
Tikk, D., & Bir?, G. ( 2001). Sugeno-Yasukawa fuzzy modelling: survey and improvements. 2nd International Symposium of Hungarian Researchers on Computational Intelligence, Budapest, 175-186.
Unler, A., & Murat, A. (2010). A discrete particle swarm optimization method for feature selection in binary classification problems. European Journal of Operational Research, 206(3), 528-539.
Wu, J., & Wu, Z. (2013). Improved fuzzy c-means clustering for personalized product recommendation. Research Journal of Applied Sciences, Engineering and Technology, 6(3), 393-399.
Xu, R., & Wunsch, D. (2005). Survey of clustering algorithms. Neural Networks, IEEE Transactions on, 16(3), 645-678.