Automatic Retrieval With Locality Information Using SMART.
Chris Buckley, Gerard Salton, James Allan
Abstract
Chris Buckley, Gerard Salton, James Allan
Abstract
The Smart project at Cornell University, using a completely automatic approach for both routing and ad-hoc experiments, performed extremely well in the first Text Retrieval Conference. The basic ad-hoc approach uses local/global matching to achieve its results. A global match ensures that each retrieved document uses the same vocabulary as the query; a local match then attempts to guarantee some local part of the document (eg, a paragraph or sentence) focuses on the query algorithm is used for routing experiments
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The Smart project at Cornell University, using a completely automatic approach for both routing and ad-hoc experiments, performed extremely well in the first Text Retrieval Conference. The basic ad-hoc approach uses local/global matching to achieve its results. A global match ensures that each retrieved document uses the same vocabulary as the query; a local match then attempts to guarantee some local part of the document (eg, a paragraph or sentence) focuses on the query algorithm is used for routing experiments
Key concepts: Paragraph, Computer science, Locality, Information retrieval, Vocabulary, Sentence, Matching (statistics), Routing (electronic design automation)