Common search engines process users’ queries (i.e., information needs) by retrieving documents from pre-built term-based indexes. For digital libraries, such approaches are limited regarding particular contexts, such as specialized collections (e.g., cultural heritage collections) or specific retrieval criteria (e.g., multidimensional criteria). In this paper, we consider Information Retrieval ...

This paper reports on MIMOR which was modelled as an open meta information retrieval system at the handling of diverse information retrieval objects. It is used to gain further insights concerning the behaviour of information retrieval systems as well as for teaching in the field of Information Science. The main issue of MIMOR is the exploitation of users’ relevance feedback in order to optimis...

The purpose of an information retrieval (IR) system is to help users accomplish a task. IR system evaluation should consider both task success and the value of support given over the entire information seeking episode. Relevance-based measurements fail to address these requirements. In this paper, usefulness is proposed as a basis for IR evaluation.

The purpose of an information retrieval (IR) system is to help users accomplish a task. IR system evaluation should consider both task success and the value of support given over the entire information seeking episode. Relevance-based measurements fail to address these requirements. In this paper, usefulness is proposed as a basis for IR evaluation.

This paper reports on the Evaluation Methodologies in Information Retrieval Seminar [1] held from 27 October to 1 November 2013 at the Schloss Dagstuhl Leibniz Center for Informatics that is a world-wide renowned venue for informatics where scientists come together to exchange their knowledge and to discuss their research findings. Dagstuhl offers modern facilities and is located in the beautif...

Evaluation of interactive cross-lingual information retrieval systems has been the focus of recent research. The goal is to support the users in formulating effective queries and selecting the documents which satisfy their information needs regardless of the language of the documents. This dissertation aims at harnessing the user-system interaction, extracting the added value and integrating it...

Local search has become a hot topic recently in information retrieval research area. How to retrieve geographical information correctly and efficiently is a key challenge to location-based search services. In this paper, we present a GIR (geographical information retrieval) system which uses implicit locations to improve retrieval performance. Experimental results based on Geo-CLEF 2006 (a cros...

Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...