An evaluation of the GhostWriter system for case-based content suggestions

  • Aidan Waugh
  • , Derek Bridge

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

The Web has many sites where users can exchange goods and services. Often, the end-users must write free-text descriptions of the goods and services they have available, or the goods and services they are seeking. The quality of these descriptions is often low. In this paper, we describe the GhostWriter system, which encourages users to write descriptions that are more comprehensive. The system makes content suggestions from a case base of successful descriptions. The paper describes a new off-line ablation study that we have carried out to evaluate the system. The results show that GhostWriter has a high success rate in making suggestions that quickly recover ablated content.

Original languageEnglish
Title of host publicationArtificial Intelligence and Cognitive Science - 20th Irish Conference, AICS 2009, Revised Selected Papers
Pages262-272
Number of pages11
DOIs
Publication statusPublished - 2010
Event20th Annual Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2009 - Dublin, Ireland
Duration: 19 Aug 200921 Aug 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6206 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th Annual Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2009
Country/TerritoryIreland
CityDublin
Period19/08/0921/08/09

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