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Adaptive information filtering through automatic Boolean query generation
| dc.creator | Nichols, Michael Roddy | |
| dc.date.accessioned | 2012-06-07T22:53:36Z | |
| dc.date.available | 2012-06-07T22:53:36Z | |
| dc.date.created | 1998 | |
| dc.date.issued | 1998 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1998-THESIS-N53 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references (leaves 55-56). | en |
| dc.description.abstract | The subject of this thesis is the development and graphics. testing of a new algorithm for intelligently altering information content on the World Wide Web and in other similar domains. The approach described in this thesis is a hybrid algorithm, based on ideas from both the information retrieval and machine learning research communities. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | computer science. | en |
| dc.subject | Major computer science. | en |
| dc.title | Adaptive information filtering through automatic Boolean query generation | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | computer science | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
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