Abstract We deal with a problem faced by scholars every day: identifying relevant papers on a given topic. In particular, we focus on the scenario where a scholar can come up with ...
Matthias Hagen, Anna Beyer, Tim Gollub, Kristof Ko...
Abstract. In this paper, we explore a geo-spatial learning-to-rank framework for identifying local experts. Three of the key features of the proposed approach are: (i) a learning-b...
The surge of opinionated on-line texts provides a wealth of information that can be exploited to analyze users’ viewpoints and opinions on various topics. This article presents V...
The presentation of news articles to meet research needs has traditionally been a document-centric process. Yet users often want to monitor developing news stories based on an eve...
Term graphs constructed from document collections as well as external resources, such as encyclopedias (DBpedia) and knowledge bases (Freebase and ConceptNet), have been individual...