TU Darmstadt / ULB / TUbiblio

Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents

Saleh, Ahmed and Beck, Tilman and Galke, Lukas and Scherp, Ansgar
Dobreva, Milena and Hinze, Annika and Zumer, Maja (eds.) (2018):
Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents.
In: Maturity and Innovation in Digital Libraries, Cham, Springer International Publishing, pp. 290-303, DOI: 10.1007/978-3-030-04257-8,
[Online-Edition: https://www.springer.com/de/book/9783030042561],
[Book Section]

Abstract

While there are many studies on information retrieval models using full-text, there are presently no comparison studies of full-text retrieval vs. retrieval only over the titles of documents. On the one hand, the full-text of documents like scientific papers is not always available due to, e.g., copyright policies of academic publishers. On the other hand, conducting a search based on titles alone has strong limitations. Titles are short and therefore may not contain enough information to yield satisfactory search results. In this paper, we compare different retrieval models regarding their search performance on the full-text vs. only titles of documents. We use different datasets, including the three digital library datasets: EconBiz, IREON, and PubMed. The results show that it is possible to build effective title-based retrieval models that provide competitive results comparable to full-text retrieval. The difference between the average evaluation results of the best title-based retrieval models is only 3% less than those of the best full-text-based retrieval models.

Item Type: Book Section
Erschienen: 2018
Editors: Dobreva, Milena and Hinze, Annika and Zumer, Maja
Creators: Saleh, Ahmed and Beck, Tilman and Galke, Lukas and Scherp, Ansgar
Title: Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents
Language: English
Abstract:

While there are many studies on information retrieval models using full-text, there are presently no comparison studies of full-text retrieval vs. retrieval only over the titles of documents. On the one hand, the full-text of documents like scientific papers is not always available due to, e.g., copyright policies of academic publishers. On the other hand, conducting a search based on titles alone has strong limitations. Titles are short and therefore may not contain enough information to yield satisfactory search results. In this paper, we compare different retrieval models regarding their search performance on the full-text vs. only titles of documents. We use different datasets, including the three digital library datasets: EconBiz, IREON, and PubMed. The results show that it is possible to build effective title-based retrieval models that provide competitive results comparable to full-text retrieval. The difference between the average evaluation results of the best title-based retrieval models is only 3% less than those of the best full-text-based retrieval models.

Title of Book: Maturity and Innovation in Digital Libraries
Place of Publication: Cham
Publisher: Springer International Publishing
ISBN: 978-3-030-04257-8
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Title: Maturity and Innovation in Digital Libraries
Event Location: Cham
Date Deposited: 22 Nov 2018 07:28
DOI: 10.1007/978-3-030-04257-8
Official URL: https://www.springer.com/de/book/9783030042561
Export:
Suche nach Titel in: TUfind oder in Google

Optionen (nur für Redakteure)

View Item View Item