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Article
Publication date: 22 November 2011

Brent Wenerstrom and Mehmed Kantardzic

Search engine users are faced with long lists of search results, each entry being of a varying degree of relevance. Often users' expectations based on the short text of a search…

Abstract

Purpose

Search engine users are faced with long lists of search results, each entry being of a varying degree of relevance. Often users' expectations based on the short text of a search result hold false expectations about the linked web page. This leads users to skip relevant information, missing valuable insights, and click on irrelevant web pages wasting time. The purpose of this paper is to propose a new summary generation technique, ReClose, which combines query‐independent and query‐biased summary techniques to improve the accuracy of users' expectations.

Design/methodology/approach

The authors tested the effectiveness of ReClose summaries against Google summaries by surveying 34 participants. Participants were randomly assigned to use one type of summary approach. Summary effectiveness was judged based on the accuracy of each user's expectations.

Findings

It was found that individuals using ReClose summaries showed a 10 per cent increase in the expectation accuracy over individuals using Google summaries, and therefore better user satisfaction.

Practical implications

The survey demonstrates the effectiveness of using ReClose summaries to improve the accuracy of user expectations.

Originality/value

This paper presents a novel summary generation technique called ReClose, a new approach to summary evaluation and improvements upon previously proposed summary generation techniques.

Details

International Journal of Web Information Systems, vol. 7 no. 4
Type: Research Article
ISSN: 1744-0084

Keywords

Content available
Article
Publication date: 22 November 2011

Ismail Khalil

345

Abstract

Details

International Journal of Web Information Systems, vol. 7 no. 4
Type: Research Article
ISSN: 1744-0084

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