The impact of query structure and query expansion on retrieval performance
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
The loquacious user: a document-independent source of terms for query expansion
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
The polyrepresentation continuum in IR
IIiX Proceedings of the 1st international conference on Information interaction in context
Inter and intra-document contexts applied in polyrepresentation for best match IR
Information Processing and Management: an International Journal
Predicting user interests from contextual information
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Supporting polyrepresentation in a quantum-inspired geometrical retrieval framework
Proceedings of the third symposium on Information interaction in context
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The principle of polyrepresentation offers a theoretical framework for handling multiple contexts in Information Retrieval (IR). This paper presents an empirical study of polyrepresentation of the information space with focus on inter and intra-document features. The Cystic Fibrosis test collection indexed in a best match system constitutes the experimental setting. Overlaps between four functionally and/or cognitively different representations are identified. Supporting the principle of polyrepresentation, results show that in general overlaps generated by three or four representations have higher precision than those generated from one or two overlaps both in structured and unstructured search mode. It is concluded that a highly structured query language is necessary when implementing the principle of polyrepresentation in a best match IR system because the principle is inherently Boolean. Finally a re-ranking test shows promising results when search results are re-ranked according to precision obtained in the overlaps.