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An Algorithm to use Feedback on Viewed Documents to Improve Web Query: Enabling naive searchers to search the Web smartly
Patro, S and Malhotra, V and Johnson, D (2006) An Algorithm to use Feedback on Viewed Documents to Improve Web Query: Enabling naive searchers to search the Web smartly. In: WEBIST 2006: Second International conf on Web Information Systems and Technologies, April 11-13, 2006, Setubal, Portugal.
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Available under University of Tasmania Standard License.
This paper presents an algorithm to improve a web search query based on the feedback on the viewed
documents. A user who is searching for information on the Web marks the retrieved (viewed) documents as
relevant or irrelevant to further expose the information needs expressed in the original query. A new web
search query matching this improved understanding of the user's information needs is synthesized from
these text documents. The methodology provides a way for creating web search query that matches the
user's information need even when the user may have difficulty in doing so directly due to lack of
experience in the query design or lack of familiarity of the search domain. A user survey has shown that the
algorithmically formed query has recall coverage and precision characteristics better than those achieved by
the experienced human web searchers.
|Item Type:||Conference or Workshop Item (Paper)|
|Keywords:||Web searching, Information need, Boolean query, Relevance feedback.|
|Publisher:||INSTICC: Institute for Systems an Technologies of Information, Control and Communication|
|Page Range:||pp. 287-294|
|Date Deposited:||18 Jun 2006|
|Last Modified:||18 Nov 2014 03:11|
|Item Statistics:||View statistics for this item|
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