A system for perspective-aware search

M. Atif Qureshi, Arjumand Younus, Colm O'Riordan, Gabriella Pasr, Nasir Touheed

Research output: Contribution to journalConference articlepeer-review

Abstract

Traditional search engines fail to capture the notion of "perspective" in their search results and at times present the results skewed towards a particular topic. Under most of these cases even query reformulation fails to retrieve desired search results and the underlying reason for such failure is often the bias within the document collection itself (e.g., news articles). A perspective-aware search interface enabling users to look into search results for some "perspective" terms may be of great use for certain information needs. In this paper we describe such a system.

Original languageEnglish
Pages (from-to)55-58
Number of pages4
JournalCEUR Workshop Proceedings
Volume1033
Publication statusPublished - 2013
Externally publishedYes
Event3rd European Workshop on Human-Computer Interaction and Information Retrieval, EuroHCIR 2013 - Co-located with the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013 - Dublin, Ireland
Duration: 1 Aug 2013 → …

Keywords

  • Bias
  • Perspective
  • Wikipedia

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