We present first steps towards intelligent retrieval of music album covers from the web. The continuous growth of electronic music distribution constantly increases the interest in...
Markus Schedl, Peter Knees, Tim Pohle, Gerhard Wid...
Abstract. We applied different clustering algorithms to the task of clustering multi-word terms in order to reflect a humanly built ontology. Clustering was done without the usual ...
Abstract. The following paper proposes a new kind of relevance feedback. It shows how so called query profiles can be employed for disambiguation and clarification. Query profiles ...
This paper presents two sentence retrieval methods. We adopt the task definition done in the TREC Novelty Track: sentence retrieval consists in the extraction of the relevant sente...
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
Abstract. Efficient and effective routing of content-based queries is an emerging problem in peer-to-peer networks, and can be seen as an extension of the traditional "resourc...
We investigate the use of clustering methods for the task of grouping the text spans in a news article that refer to the same event. We provide evidence that the order in which eve...
The aim of our research is to produce and assess short summaries to aid users' relevance judgements, for example for a search engine result page. In this paper we present our ...
Motion capturing has become an important tool in fields such as sports sciences, biometrics, and particularly in computer animation, where large collections of motion material are ...
Abstract. PageRank inherently is massively parallelizable and distributable, as a result of web's strict host-based link locality. In this paper we show that the Gau