Recommendation algorithms aim at proposing “next” pages to a user based on her navigational behavior. In the vast majority of related algorithms, only the usage data are used to produce recommendations. We claim that taking also into account the web structure and using link analysis algorithms ameliorates the quality of recommendations. In this paper we present UPR, a personalization algorithm ...

As more and more digital content goes online, libraries today are fundamentally different than they were as recently as five years ago. Websites have become an essential component of library service, and designing these websites involves both technical and administrative decision-making. During the past five years, the Rutgers-Newark Law Library (RNLL) has used different methods to figure out e...

Political feasibility of emission trading systems may crucially depend on the free initial allocation of emission allowances to energy-intensive industries in order to ameliorate adverse production and employment effects. We investigate the potential trade-off between such compensation and economic efficiency for alternative allocation rules where emission allowances are based on either emissio...

Political feasibility of emission trading systems may crucially depend on the free initial allocation of emission allowances to energy-intensive industries in order to ameliorate adverse production and employment effects. We investigate the potential trade-off between such compensation and economic efficiency for alternative allocation rules where emission allowances are based on either emissio...

The paper is focused on an examination of the use of entropy in the field of web usage mining. Entropy creates an alternative possibility of determining the ratio of auxiliary pages in the session identification using the Reference Length method. The experiment was conducted on two different web portals. The first log file was obtained from a course of virtual learning environment web portal. T...

Recommender systems suggest objects to users navigating a web site. They observe the pages that a user visits and predict which other pages may be of interest. On the basis of these predictions recommenders select a number of pages that are suggested to the user. By far the most popular recommendation strategy is to select the pages of which the recommender believes they are the most interestin...

In this work, a new information acquisition system is proposed and implemented, called ORGAN (Ontology-oRiented usaGe ANalysis system). ORGAN aims to enhance and ease log analysis by use of semantic knowledge. It is an application for log analysis taking advantage of semantic web technologies. ORGAN is able to offer typical statistical analysis of web usage logs taking into consideration at the...

The design of a distributed deductive database system differs from the design of conventional non-distributed deductive database systems in that it requires design of distribution of both the database and rulebase. In this paper, we address the rule allocation problem. We consider minimisation of data communic& tion cost during rule execution as a primary basis for rule allocation. The rule all...