Method for identifying themes associated with a search query using metadata and for organizing documents responsive to the search query in accordance with the themes
作者： John Michael Schultz
DOI:
关键词: Subject (documents) 、 Theme (computing) 、 Web search query 、 Information retrieval 、 Metadata 、 Web query classification 、 Computer science
摘要: A method of identifying at least one query theme associated with a search query, wherein the corresponds to subject, person or place query. document record archive has plurality records each which is stored document. Each metadata fields stores numerical score representing degree correlation between and theme, results list retrieved in response formed composite determined for represented by list. scores compared threshold. that exceeds threshold identified as major score, selected
google.co.uk 参考文章(7)
Steven T. Kirsch, William I. Chang, Performing automated document collection and selection by providing a meta-index with meta-index values indentifying corresponding document collections ,(1997)
Mark N. Wegman, John Martin Prager, Yael Ravin, Roy Jefferson Byrd, Information retrieval system and method for displaying and ordering information based on query element contribution ,(1995)
Michael J. Schiegg, Gray Watson, David L. Andre, Richard M. Green, Sangam Pant, Computer system with user-controlled relevance ranking of search results ,(1997)
Graham Spencer, System and method for accelerated query evaluation of very large full-text databases ,(1997)
James R Driscoll, Method and system for searching for relevant documents from a text database collection, using statistical ranking, relevancy feedback and small pieces of text Laboratory Automation & Information Management. ,vol. 33, pp. 150- ,(1994) , 10.1016/S1381-141X(97)80036-6
Douglass R. Cutting, Daniel E. Rose, System and method for improving the ranking of information retrieval results for short queries ,(1996)
Ruben E. Ortega, Joel R. Spiegel, Dwayne E. Bowman, Michael L. Hamrick, Timothy R. Kohn, Refining search queries by the suggestion of correlated terms from prior searches ,(1998)