This paper is a short description of an information retrieval system enhanced by three model driven retrieval services: (1) co-word analysis based query expansion, re-ranking via (2) Bradfordizing and (3) author centrality. The different services each favor quite other – but still relevant – documents than pure term-frequency based rankings. Each service can be interactively combined with each other to allow an iterative retrieval refinement
Software packages are available that enhance text retrieval of in-house data bases. New features inc...
We introduce two novel methods for query expansion in information retrieval (IR). The basis of these...
In this article, the use of a new term extraction method for query expansion (QE) in text retrieval ...
This paper is a short description of an information retrieval system enhanced by three model driven ...
This paper is about a better understanding on the structure and dynamics of science and the usage of...
The paper proposes three different kinds of science models as value-added services that are integrat...
The paper proposes three different kinds of science models as value-added services that are integrat...
Abstract. Query expansion methods have been studied for a long time – with debatable success in many...
Bibliometric techniques are not yet widely used to enhance retrieval processes in digital libraries,...
Hundreds of millions of users each day use web search engines to meet their information needs. Advan...
It has been known that using different representations of a query retrieves different sets of docume...
Techniques for automatic query expansion from top retrieved documents have shown promise for improvi...
Abstract: Query expansion (QE) is a potentially useful technique to help searchers formulate improve...
In this article, the use of a new term extraction method for query expansion (QE) in text retrieval ...
National audienceIn the study reported in this paper, we apply a family of Information Retrieval (IR...
Software packages are available that enhance text retrieval of in-house data bases. New features inc...
We introduce two novel methods for query expansion in information retrieval (IR). The basis of these...
In this article, the use of a new term extraction method for query expansion (QE) in text retrieval ...
This paper is a short description of an information retrieval system enhanced by three model driven ...
This paper is about a better understanding on the structure and dynamics of science and the usage of...
The paper proposes three different kinds of science models as value-added services that are integrat...
The paper proposes three different kinds of science models as value-added services that are integrat...
Abstract. Query expansion methods have been studied for a long time – with debatable success in many...
Bibliometric techniques are not yet widely used to enhance retrieval processes in digital libraries,...
Hundreds of millions of users each day use web search engines to meet their information needs. Advan...
It has been known that using different representations of a query retrieves different sets of docume...
Techniques for automatic query expansion from top retrieved documents have shown promise for improvi...
Abstract: Query expansion (QE) is a potentially useful technique to help searchers formulate improve...
In this article, the use of a new term extraction method for query expansion (QE) in text retrieval ...
National audienceIn the study reported in this paper, we apply a family of Information Retrieval (IR...
Software packages are available that enhance text retrieval of in-house data bases. New features inc...
We introduce two novel methods for query expansion in information retrieval (IR). The basis of these...
In this article, the use of a new term extraction method for query expansion (QE) in text retrieval ...