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SIGIR
2002
ACM

Effective collection metasearch in a hierarchical environment: global vs. localized retrieval performance

8 years 11 months ago
Effective collection metasearch in a hierarchical environment: global vs. localized retrieval performance
We compare standard global IR searching with user-centric localized techniques to address the database selection problem. We conduct a series of experiments to compare the retrieval effectiveness of three separate search modes applied to a hierarchically structured data environment of textual database representations. The data environment is represented as a tree-like directory containing over 15,000 unique databases and over 100,000 total leaf nodes. Our search modes consist of varying degrees of browse and search, from a global search at the root node to a refined search at a subnode using dynamically-calculated inverse document frequencies (idfs) to score candidate databases for probable relevance. Our findings indicate that a browse and search approach that relies upon localized searching from sub-nodes is capable of producing the most effective results. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval--search process,s...
Jack G. Conrad, Changwen Yang, Joanne S. Claussen
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where SIGIR
Authors Jack G. Conrad, Changwen Yang, Joanne S. Claussen
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