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


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2018-11-15

AUTHORS

Ahmed Saleh , Tilman Beck , Lukas Galke , Ansgar Scherp

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. More... »

PAGES

290-303

References to SciGraph publications

  • 2009-12. Is searching full text more effective than searching abstracts? in BMC BIOINFORMATICS
  • 2010-06. Adapting boosting for information retrieval measures in INFORMATION RETRIEVAL JOURNAL
  • 2007-06. Linear feature-based models for information retrieval in INFORMATION RETRIEVAL JOURNAL
  • Book

    TITLE

    Maturity and Innovation in Digital Libraries

    ISBN

    978-3-030-04256-1
    978-3-030-04257-8

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-030-04257-8_30

    DOI

    http://dx.doi.org/10.1007/978-3-030-04257-8_30

    DIMENSIONS

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