TTLS: A grouped display of search results based on organizational taxonomy using the LCC&K interface

Bicki Mordechai, Ariel J. Frank, Offer Drori

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

One of the major problems in the process of Information Retrieval (IR) arises at the stage where the user reviews the results list. This paper presents the latest research in a series of research works that aims at finding the most vital information components, within a list of search results, so as to assist the user in highquality decision making as to which of the resulting documents are included within the sought after results of the search task We propose here a new model for displaying the results named TTLS (Taxonomy Tree & LCC&K Snippet). The experimentation setup included execution of different search tasks by a group of 60 participants. The tasks were performed via the BASE and TTLS interfaces. From the resulting times comparison it is clear that the execution times of tasks done via the TTLS interface is shorter that those done via the BASE interface. It can be seen that in the BASE interface it was needed to open more documents in order to locate the relevant information than in the TTLS interface. It turns out that the majority of users (77%) prefer to use the TTLS interface.

Original languageEnglish
Title of host publicationICEIS 2008 - Proceedings of the 10th International Conference on Enterprise Information Systems
Pages47-53
Number of pages7
StatePublished - 2008
Externally publishedYes
EventICEIS 2008 - 10th International Conference on Enterprise Information Systems - Barcelona, Spain
Duration: 12 Jun 200816 Jun 2008

Publication series

NameICEIS 2008 - Proceedings of the 10th International Conference on Enterprise Information Systems
VolumeHCI

Conference

ConferenceICEIS 2008 - 10th International Conference on Enterprise Information Systems
Country/TerritorySpain
CityBarcelona
Period12/06/0816/06/08

Keywords

  • Exploratory search
  • Faceted search
  • Information retrieval
  • LCC&K
  • Organizational taxonomy
  • TTLS

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