Language models for web object retrieval
Pages 5099 - 5104
Abstract
Document-level information retrieval can unfortunately lead to highly inaccurate relevance ranking in answering object-oriented queries. A paradigm is proposed to enable searching at the object level. However, this reliability assumption is no longer valid in the object retrieval context when multiple copies of information about the same object typically exist. To resolve multiple copies inconsistent issue, we propose several language models for Web object retrieval, namely an unstructured object retrieval model, a structured object retrieval model, and a hybrid model with both structured and unstructured retrieval features. We test these models on a paper search engine and compare their performances. We conclude that the hybrid model is the superior by taking into account the extraction errors at varying levels.
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- Language models for web object retrieval
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Published In
September 2009
5557 pages
ISBN:9781424436927
Sponsors
- Tsinghua University: Tsinghua University
- IEEE Communications Society
- Beijing University of Posts and Telecommunications
Publisher
IEEE Press
Publication History
Published: 24 September 2009
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