Abstract
The new HRS method for hyperlink recommendation based on positive and confined negative association rules is presented in the paper. Discovered with the new PANAMA algorithm rules are merged and used in the form of recommendation functions, both to assess the existing hyperlinks and to suggest new ones. Positively and negatively verified and new hyperlinks are presented to the content manager and can considerably facilitate the maintenance of the web site structure and its adjustment to user behaviour. The experiments confirmed the usefulness of the Hyperlink Recommender System (HRS) and in particular, of negative recommendations based on confined negative association rules.
Article PDF
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
References
Antonie, M.-L., and Zaïane, O. R., “Mining Positive and Negative Association Rules: An Approach for Confined Rules,” PKDD 2004, LNCS 3202, Springer Verlag, pp. 27-38, 2004.
Baraglia, R., and Silvestri, F., “Dynamic personalization of web sites without user intervention,” Communication of the ACM 50, 2, pp. 63-67, 2007.
Chang, W.-K., and Chuang, M.-H., “Validating Hyperlinks by the Mobile-Agent Approach,” Tunghai Science 3, pp. 97-112, 2001.
Chen, Z., Fu, A. W.-C., and Tong, F. C.-H., “Optimal Algorithms for Finding User Access Sessions from Very Large Web Logs,” World Wide Web: Internet and Web Information Systems 6, 3, pp. 259-279, 2003.
Cooley, R., Mobasher, B., and Srivastava, J., “Data Preparation for Mining World Wide Web Browsing Patterns,” Knowl. & Inf. Syst. 1, 1, pp. 5-32, 1999.
Kazienko, P., “Filtering of Web Recommendation Lists Using Positive and Negative Usage Patterns,” KES2007, LNAI 4674, Springer, pp. 404-412, 2007.
Kazienko, P., and Pilarczyk, M., “Hyperlink Assessment Based on Web Usage Mining,” HT’06, ACM Press, pp. 85-88, 2006.
McGovern, G., Norton, R., and O’Dowd, C., Web Content Style Guide, Financial Times Press, Prentice Hall, 2001.
Mobasher, B., Dai, H., Luo, T., and Nakagawa, M., “Effective personalization based on association rule discovery from web usage data,” WIDM 2001, ACM Press, pp. 9-15, 2001.
Spiliopoulou, M., and Pohle, C., “Data Mining for Measuring and Improving the Success of Web Sites,” Data Mining and Knowledge Discovery 5, 1/2, pp. 85-114, 2001.
Srikant, R., and Yang, Y., “Mining web logs to improve website organization,” 10th Int’ World Wide Web Conf. WWW 10, ACM Press, pp. 430-437, 2001.
Sullivan, T., “Reading Reader Reaction: A Proposal for Inferential Analysis of Web Server Log Files,” 3rd Conf, on Human Factors and the Web, US West Communications, 1997.
Wang, F.-H., and Shao, H.-M., “Effective personalized recommendation based on time-framed navigation clustering and association mining,” Expert Systems with App. 27, pp. 365-377, 2004.
Wu, X., Zhang, C., and Zhang, S., “Efficient Mining of Both Positive and Negative Association Rules,” ACM Transaction on Information Systems 22, 3, pp. 381-405, 2004.
Xiong, H., Shekhar, S., Tan, P.-N., and Kumar, V., “Exploiting a support-based upper bound of Pearson’s correlation coefficient for efficiently identifying strongly correlated pairs,” KDD 2004, ACM Press, pp. 334-343, 2004.
Yuan, X., Buckles, B. P., Yuan, Z., and Zhang, J., “Mining Negative Association Rules,” ISCC’02, IEEE Computer Society, pp. 623-628, 2002.
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Kazienko, P., Pilarczyk, M. Hyperlink Recommendation Based on Positive and Negative Association Rules. New Gener. Comput. 26, 227–244 (2008). https://doi.org/10.1007/s00354-008-0042-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00354-008-0042-z