Paper Info
Title
The impact of intent selection on diversified search evaluation
Abstract
To construct a diversified search test collection, a set of possible subtopics (or intents) needs to be determined for each topic, in one way or another, and perintent relevance assessments need to be obtained. In the TREC Web Track Diversity Task, subtopics are manually developed at NIST, based on results of automatic click log analysis; in the NTCIR INTENT Task, intents are determined by manually clustering 'subtopics strings' returned by participating systems. In this study, we address the following research question: Does the choice of intents for a test collection affect relative performances of diversified search systems? To this end, we use the TREC 2012 Web Track Diversity Task data and the NTCIR-10 INTENT-2 Task data, which share a set of 50 topics but have different intent sets. Our initial results suggest that the choice of intents may affect relative performances, and that this choice may be far more important than how many intents are selected for each topic
Year
DOI
Venue
2013
10.1145/2484028.2484105
SIGIR
Keywords
Field
DocType
ntcir intent task,subtopics string,relative performance,intent selection,web track diversity task,diversified search test collection,diversified search system,possible subtopics,different intent set,trec web track diversity,diversified search evaluation,ntcir-10 intent-2 task data,evaluation
Data mining,Information retrieval,Research question,Computer science,NIST,Cluster analysis
Conference
Citations 
PageRank 
References 
8
0.44
11
Authors
3
Name
Order
Citations
PageRank
Tetsuya Sakai11460139.97
Zhicheng Dou270641.96
Charles L.A. Clarke33289286.78