Authors:
Vicki Mordechai
1
;
Ariel J. Frank
1
and
Offer Drori
2
Affiliations:
1
Bar-Ilan University, Israel
;
2
SHAAM – Information Systems, Israel
Keyword(s):
Exploratory Search, Faceted Search, Information Retrieval, LCC&K, Organizational Taxonomy, TTLS.
Related
Ontology
Subjects/Areas/Topics:
Enterprise Information Systems
;
Human Factors
;
Human-Computer Interaction
;
Internet HCI: Web Interfaces and Usability
;
Physiological Computing Systems
;
User Needs
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 high-quality 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.
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