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A personalized recommender system for digital libraries

Published: 26 October 2008 Publication History

Abstract

This paper presents the evaluation of a Recommender System for scientific articles in digital libraries. This system is geared towards the Computer Science scientific community. Technologically speaking, the proposed system was developed under the Semantic Web perspective since it explores its emergent technologies such as the use of standard metadata for document description (i.e., Dublin Core), XML for user's profile description (i.e., Lattes Curriculum Vitae), and Web services and data providers (OAI) involved on the recommendations' generation process. The focus of this paper is the presentation and discussion of the extended experimental evaluation results obtained with a Web prototype.

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Cited By

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  • (2022)Services personalization in digital academic libraries: a Delphi studyDigital Library Perspectives10.1108/DLP-03-2022-001939:1(39-61)Online publication date: 7-Sep-2022
  • (2019)Information Processing in Research Paper Recommender System ClassesResearch Data Access and Management in Modern Libraries10.4018/978-1-5225-8437-7.ch005(90-118)Online publication date: 2019
  • (2019)Meta-analysis of evaluation methods and metrics used in context-aware scholarly recommender systemsKnowledge and Information Systems10.1007/s10115-018-1324-5Online publication date: 5-Jan-2019
  • Show More Cited By

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Published In

cover image ACM Other conferences
WebMedia '08: Proceedings of the 14th Brazilian Symposium on Multimedia and the Web
October 2008
269 pages
ISBN:9781605581705
DOI:10.1145/1666091

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  • SBC: Brazilian Computer Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2008

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Author Tags

  1. digital library
  2. recommender system
  3. semantic web
  4. user profile

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  • Research-article

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WebMedia08
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  • SBC

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Overall Acceptance Rate 270 of 873 submissions, 31%

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Cited By

View all
  • (2022)Services personalization in digital academic libraries: a Delphi studyDigital Library Perspectives10.1108/DLP-03-2022-001939:1(39-61)Online publication date: 7-Sep-2022
  • (2019)Information Processing in Research Paper Recommender System ClassesResearch Data Access and Management in Modern Libraries10.4018/978-1-5225-8437-7.ch005(90-118)Online publication date: 2019
  • (2019)Meta-analysis of evaluation methods and metrics used in context-aware scholarly recommender systemsKnowledge and Information Systems10.1007/s10115-018-1324-5Online publication date: 5-Jan-2019
  • (2015)A systematic review of scholar context-aware recommender systemsExpert Systems with Applications: An International Journal10.1016/j.eswa.2014.09.01742:3(1743-1758)Online publication date: 15-Feb-2015
  • (2013)A novel approach to hybrid recommendation systems based on association rules mining for content recommendation in asynchronous discussion groupsInformation Sciences: an International Journal10.1016/j.ins.2012.07.011219(93-110)Online publication date: 1-Jan-2013

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