Markov models have been widely utilized for modelling user web navigation behaviour. In this work we propose a dynamic clustering-based method to increase a Markov model's ac...
WebLQM is a system with capabilities to locate, query and mine web communities on the Internet. WebLQM has a special way to define the World Wide Web, its contents and relations. ...
The paper describes the data model used to implement the SIM Content Management Server, an SGML/XML-native content server designed to support extremely fast data access to and dyn...
Timothy Arnold-Moore, Michael Fuller, Alan J. Kent...
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Abstract— This paper presents a radically new multicast model for ad hoc wireless networks. In this model, the content of the multicast data determines the receiver set for the d...