The emergence of pervasive networked data sources, such as web services, sensors, and mobile devices, enables context-sensitive, mobile applications. We have developed a programmi...
Norman H. Cohen, Hui Lei, Paul Castro, John S. Dav...
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Tag recommender systems are often used in social tagging systems, a popular family of Web 2.0 applications, to assist users in the tagging process. But in cold-start situations i.e...
Christine Preisach, Leandro Balby Marinho, Lars Sc...
Context-awareness has become a desired key feature of today’s mobile systems, yet, its realization still remains a challenge. On the one hand, mobile computing provides great po...
Lukasz Juszczyk, Harald Psaier, Atif Manzoor, Scha...
We propose a preprocessing method for Web mining which, given semi-structured documents with the same structure and style, distinguishes useless parts and non-useless parts in each...