When two is better than one : a study of ranking paradigms and their integrations for subtopic retrieval

Leelanupab, Teerapong, Zuccon, Guido, & Jose, Joemon M. (2010) When two is better than one : a study of ranking paradigms and their integrations for subtopic retrieval. Lecture Notes in Computer Science : Information Retrieval Technology, 6458, pp. 162-172.

View at publisher


In this paper, we consider the problem of document ranking in a non-traditional retrieval task, called subtopic retrieval. This task involves promoting relevant documents that cover many subtopics of a query at early ranks, providing thus diversity within the ranking. In the past years, several approaches have been proposed to diversify retrieval results. These approaches can be classified into two main paradigms, depending upon how the ranks of documents are revised for promoting diversity. In the first approach subtopic diversification is achieved implicitly, by choosing documents that are different from each other, while in the second approach this is done explicitly, by estimating the subtopics covered by documents. Within this context, we compare methods belonging to the two paradigms. Furthermore, we investigate possible strategies for integrating the two paradigms with the aim of formulating a new ranking method for subtopic retrieval. We conduct a number of experiments to empirically validate and contrast the state-of-the-art approaches as well as instantiations of our integration approach. The results show that the integration approach outperforms state-of-the-art strategies with respect to a number of measures.

Impact and interest:

1 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

24 since deposited on 03 Jun 2014
6 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 72531
Item Type: Journal Article
Refereed: Yes
Additional Information: 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010. Proceedings
Keywords: Information storage and retrieval, Ranking paradigms, Subtopic retrieval
DOI: 10.1007/978-3-642-17187-1_15
ISBN: 978-3-642-17187-1
ISSN: 1611-3349
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2010 Springer Berlin Heidelberg
Copyright Statement: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-17187-1_15
Deposited On: 03 Jun 2014 22:52
Last Modified: 24 Jul 2014 11:00

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page