The Hypertext-based Webs such as Intranets contain a vast amount of information pertaining to an enormous number of subjects. It is, however, an organically grown and thus essentially structureless environment that is in a constant state of flux. Therefore, finding useful information pertaining to a particular topic is oftentimes a difficult task. Search engines were designed with the intent of...

Social bookmark service is a web-based service which enables its users to manage and share their bookmarks on Web pages. Many bookmarks are aggregated and shared on social bookmarks, so they become useful news sources now. In this paper, we propose a trend prediction method of newly-posted pages, using time sequential data of users and “tags” annotated to bookmarks.

This paper proposes a model of adaptation called Feijoo.net. Feijoo.net is a system which adapts contents and the presentation of these contents to the learning style of each student. In this model, contents are separated from their presentation on the Web. Feijoo.net is focused on university students. The main goal is to get an adaptation model of the learning of each student following the dir...

The use of citation counts to assess the impact of research articles is well established. However, the citation impact of an article can only be measured several years after it has been published. As research articles are increasingly accessed through the Web, the number of times an article is downloaded can be instantly recorded and counted. One would expect the number of times an article is r...

Predicting the next request of a user as she visits Web pages has gained importance as Web-based activity increases. There are a number of different approaches to prediction. This paper concentrates on the discovery and modelling of the user’s aggregate interest in a session. This approach relies on the premise that the visiting time of a page is an indicator of the user’s interest in that page...