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Evaluation of Hierarchical Clustering via Markov Decision Processes for E

Authors: 

Raul Moreno, Weipeng Huang, Arjumand Younus, Michael O’Mahony, Neil Hurley

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
In this paper, we propose a new evaluation measure to assess the quality of a hierarchy in supporting search queries to content collections. The evaluation measure models the scenario of a searcher seeking a particular target item in the hierarchy. It takes into account the structure of the hierarchy by measuring the cognitive challenge of determining the correct path in the hierarchy as well as the reduction in search time a↵orded by hierarchy. The goal is to propose a general-purpose measure that can be applied in di↵erent application contexts, allowing di↵erent hierarchical arrangements of content to be quantitatively assessed
Conference Name: 
CLEF 2017 Conference and Labs of the Evaluation Forum, Dublin, Ireland, 11-14 September 2017.
Digital Object Identifer (DOI): 
10.xxx
Publication Date: 
09/06/2017
Conference Location: 
Ireland
Research Group: 
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
No