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An Algorithm to use Feedback on Viewed Documents to Improve Web Query: Enabling naive searchers to search the Web smartly

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conference contribution
posted on 2023-05-26, 08:53 authored by Patro, S, Malhotra, V, Johnson, D
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.

History

Volume

1

Pagination

287-294

Publisher

INSTICC: Institute for Systems an Technologies of Information, Control and Communication

Publication status

  • Published

Event title

WEBIST 2006: Second International conf on Web Information Systems and Technologies

Event Venue

Setubal, Portugal

Date of Event (Start Date)

2006-04-11

Date of Event (End Date)

2006-04-13

Repository Status

  • Open

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