The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Inter and intra-document contexts applied in polyrepresentation for best match IR
Information Processing and Management: an International Journal
Ranking authors in digital libraries
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
A source independent framework for research paper recommendation
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
A novel combined term suggestion service for domain-specific digital libraries
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
Practical implications of handling multiple contexts in the principle of polyrepresentation
CoLIS'05 Proceedings of the 5th international conference on Context: conceptions of Library and Information Sciences
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Term suggestion or recommendation modules can help users to formulate their queries by mapping their personal vocabularies onto the specialized vocabulary of a digital library. While we examined actual user queries of the social sciences digital library Sowiport we could see that nearly one third of the users were explicitly looking for author names rather than terms. Common term recommenders neglect this fact. By picking up the idea of polyrepresentation we could show that in a standardized IR evaluation setting we can significantly increase the retrieval performances by adding topical-related author names to the query. This positive effect only appears when the query is additionally expanded with thesaurus terms. By just adding the author names to a query we often observe a query drift which results in worse results.