Source selection is one of the foremost challenges for searching deep-web. For a user query, source selection involves selecting a subset of deep-web sources expected to provide relevant answers to the user query. Existing source selection models employ query-similarity based local measures for assessing source quality. These local measures are necessary but not sufficient as they are agnostic to source trustworthiness and result importance, which, given the autonomous and uncurated nature of deep-web, have become indispensible for searching deep-web.
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- Partial requirement for: M.S., Arizona State University, 2011Note typethesis
- Includes bibliographical references (p. 36-37)Note typebibliography
- Field of study: Computer science