This paper summarises activities from the iCLEF 2008 task. In an attempt to encourage greater participation in user-orientated experiments, a new task was organised based on users...
This paper proposes an approach of extracting simple and effective features that enhances multilingual document ranking (MLDR). There is limited prior research on capturing the co...
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
Abstract. Most Information Retrieval models take documents as Bagof-Words and are thereby bound to the language of the documents. In this paper, we present an approach using Linked...
Our research aims to detect the impact of various cultural variables on search behaviour. We tested our hypotheses by examining users' navigation steps recorded in a large lo...