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Metasearch information fusion using linear programming

Gholam R. Amin, Ali Emrouznejad, Hamid Sadeghi (2012)

RAIRO - Operations Research - Recherche Opérationnelle

For a specific query merging the returned results from multiple search engines, in the form of a metasearch aggregation, can provide significant improvement in the quality of relevant documents. This paper suggests a minimax linear programming (LP) formulation for fusion of multiple search engines results. The paper proposes a weighting method to include the importance weights of the underlying search engines. This is a two-phase approach which in the first phase a new method for computing the importance...

Metasearch information fusion using linear programming

Gholam R. Amin, Ali Emrouznejad, Hamid Sadeghi (2012)

RAIRO - Operations Research

For a specific query merging the returned results from multiple search engines, in the form of a metasearch aggregation, can provide significant improvement in the quality of relevant documents. This paper suggests a minimax linear programming (LP) formulation for fusion of multiple search engines results. The paper proposes a weighting method to include the importance weights of the underlying search engines. This is a two-phase approach which in...

Model of adaptation under indeterminacy

Cyril Klimeš (2011)

Kybernetika

Information retrieval in information systems (IS) with large amounts of data is not only a matter of an effective IS architecture and design and technical parameters of computer technology used for operation of the IS, but also of an easy and intuitive orientation in a number of offers and information provided by the IS. Such retrievals in IS are, however, frequently carried out with indeterminate information, which requires other models of orientation in the environment of the IS.

Multidimensional term indexing for efficient processing of complex queries

Michal Krátký, Tomáš Skopal, Václav Snášel (2004)

Kybernetika

The area of Information Retrieval deals with problems of storage and retrieval within a huge collection of text documents. In IR models, the semantics of a document is usually characterized using a set of terms. A common need to various IR models is an efficient term retrieval provided via a term index. Existing approaches of term indexing, e. g. the inverted list, support efficiently only simple queries asking for a term occurrence. In practice, we would like to exploit some more sophisticated...

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