We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
In this paper, we propose the use of a neuro-fuzzy strategy to develop a Web personalization framework for the dynamic suggestion of URLs retained interesting for the currently co...
Giovanna Castellano, Anna Maria Fanelli, Paola Pla...
World Wide Web, the biggest distributed system ever built, experiences tremendous growth and change in Web sites, users, and technology. A realistic and accurate characterization ...
Katerina Goseva-Popstojanova, Fengbin Li, Xuan Wan...
In this paper we process and analyze web search engine query and click data from the perspective of the documents (URL’s) selected. We initially define possible document categor...
In this paper, we describe an innovative tool that supports the design and evaluation of the information architecture of a Web site. The tool uses Latent Semantic Analysis and hie...
Christos Katsanos, Nikolaos K. Tselios, Nikolaos M...