Boosting titles does not generally improve retrieval effectiveness

Jimmy, Jimmy, Zuccon, Guido, & Koopman, Bevan (2016) Boosting titles does not generally improve retrieval effectiveness. In 21st Australasian Document Computing Symposium (ADCS 2016), 5-7 December 2016, Monash University, Melbourne, Vic.

View at publisher


The fields that compose structured documents such as web pages have been exploited to improve the effectiveness of in- formation retrieval systems. Field-based retrieval methods assign different levels of importance (weights) to different fields, e.g., by boosting the score of a document when query terms are found in a specific field. An important question is how to decide which field should be boosted? It has been speculated that the title field should receive a higher weight. In this paper, we investigate whether boosting the title field of structured documents actually does improve retrieval effectiveness. Our results show that, on average, boosting titles does not improve retrieval effectiveness for field-based retrieval; this is both for ad-hoc web search and exploratory- based web search tasks. However, we do find that the boosting of titles does generally improve retrieval effectiveness for navigational queries and a small subset of ad-hoc queries. This result advocates for adaptive methods that selectively adjust boosting of specific fields based on the query.

Impact and interest:

0 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:

21 since deposited on 17 Nov 2016
21 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: 101742
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Field based retrieval, boosting fields, information retrieval
DOI: 10.1145/3015022.3015028
ISBN: 9781450348652
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
Deposited On: 17 Nov 2016 22:43
Last Modified: 30 Jun 2017 22:24

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page