Content-Based Recommendation Systems, pp.325-341, 2007. ,
DOI : 10.1007/978-3-540-72079-9_10
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.8327
Knowledge-based navigation of complex information spaces, Proceedings of the 13th National Conference on Artificial Intelligence, pp.462-468, 1996. ,
Using collaborative filtering to weave an information tapestry, Communications of the ACM, vol.35, issue.12, pp.61-70, 1992. ,
DOI : 10.1145/138859.138867
Alambic: a privacy-preserving recommender system for electronic commerce, International Journal of Information Security, vol.50, issue.5, pp.307-334, 2008. ,
DOI : 10.1007/s10207-007-0049-3
Item-based collaborative filtering recommendation algorithms, Proceedings of the tenth international conference on World Wide Web , WWW '01, pp.285-295, 2001. ,
DOI : 10.1145/371920.372071
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.7612
Mining longest repeating subsequences to predict world wide web surfing, USITS'99: Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems, 1999. ,
Mining sequential patterns: Generalizations and performance improvements, Proceedings of the 5th International Conference on Extending Database Technology, pp.3-17, 1996. ,
DOI : 10.1007/BFb0014140
URL : http://arbor.ee.ntu.edu.tw/~chyun/dmpaper/srikms96.pdf
Mining association rules between sets of items in large databases, Proceedings of the ACM SIGMOD Conference on Management od Data, pp.207-216, 1993. ,
Mining navigation history for recommendation, Proceedings of the 5th international conference on Intelligent user interfaces , IUI '00, pp.106-112, 2000. ,
DOI : 10.1145/325737.325796
Data Mining for Web Personalization, LNCS, vol.3, issue.4321, pp.90-135, 2007. ,
DOI : 10.1007/978-3-540-72079-9_3
Mining Significant Usage Patterns from Clickstream Data, 7th International Workshop on Knowledge Discovery on the WebWebKDD'05, 2005. ,
DOI : 10.1007/11891321_1
Collaborative filtering by mining association rules from user access sequences, In: International Workshop on Challenges in Web Information Retrieval and Integration, 2005. ,
Mining sequential patterns, Proceedings of the Eleventh International Conference on Data Engineering, pp.3-14, 1995. ,
DOI : 10.1109/ICDE.1995.380415
Dynamic itemset counting and implication rules for market basket data, Proceedings of the ACM SIGMOD International Conference on Management of Data, pp.255-264, 1997. ,
Analysis of recommendation algorithms for e-commerce, Proceedings of the 2nd ACM conference on Electronic commerce , EC '00, 2000. ,
DOI : 10.1145/352871.352887
Mining Sequential Association-Rule for Improving WEB Document Prediction, Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05), 2005. ,
DOI : 10.1109/ICCIMA.2005.38
A recommendation algorithm using multi-level association rules, Proceedings of the IEEE/WIC International Conference on Web Intelligence (WI'03, 2003. ,
Association rule mining in peer-to-peer systems, IEEE Transactions on Systems, Man and Cybernetics, 2004. ,
An Effective Technique for Personalization Recommendation Based on Access Sequential Patterns, 2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06), 2006. ,
DOI : 10.1109/APSCC.2006.27
Selective markov models for predicting web-page accesses, First SIAM International Conference on Data Mining, 2001. ,
DOI : 10.1137/1.9781611972719.4
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.3594
Efficient mining of traversal patterns, Data & Knowledge Engineering, vol.39, issue.2, pp.191-214, 2001. ,
DOI : 10.1016/S0169-023X(01)00039-8
NP-miner: A real-time recommendation algorithm by using web usage mining, Knowledge-Based Systems, vol.19, issue.4, pp.272-286, 2006. ,
DOI : 10.1016/j.knosys.2006.04.001