skip to main content
10.1145/1255175.1255260acmconferencesArticle/Chapter ViewAbstractPublication PagesjcdlConference Proceedingsconference-collections
Article

Recommending related papers based on digital library access records

Published: 18 June 2007 Publication History

Abstract

An important goal for digital libraries is to enable researchers to more easily explore related work. While citation data is often used as an indicator of relatedness, in this paper we demonstrate that digital access records (e.g. http-server logs) can be used as indicators as well. In particular, we show that measures based on co-access provide better coverage than co-citation, that they are available much sooner, and that they are more accurate for recent papers.

References

[1]
arXiv e-Print archive, http://arxiv.org/.
[2]
R. A. Baeza-Yates and B. A. Ribeiro-Neto. Modern Information Retrieval. Addison Wesley, 1999.
[3]
E. Garfield. Citation analysis as a tool in journal evaluation. Science, 178 (4060):471--479, 1972.
[4]
T. Joachims, L. Granka, B. Pang, H. Hembrooke, and G. Gay. Accurately interpreting clickthrough data as implicit feedback. In SIGIR, 2005.
[5]
S. M. McNee, I. Albert, D. Cosley, P. Gopalkrishnan, S. K. Lam, A. M. Rashid, J. A. Konstan and J. Riedl. On the recommending of citations for research papers. In CSCW, 2002.
[6]
L. Page, S. Brin, R. Motwani and T. Winograd. The PageRank citation ranking: Bringing order to the web. Technical report, Stanford Digital Library Technologies Project, 1998.
[7]
S. Pohl. Using Access Data for Paper Recommendations on ArXiv.org. Master's thesis, Technische Universität Darmstadt, Germany, December 2006.
[8]
B. Sarwar, G. Karypis, J. Konstan and J. Riedl. Item-based collaborative filtering recommendation algorithms. In WWW, 2001.
[9]
H. G. Small. Co-citation in the scientific literature: A new measure of the relationship between two documents. JASIST, 24(4):265--269, 1973.

Cited By

View all
  • (2023)Scholarly recommendation systems: a literature surveyKnowledge and Information Systems10.1007/s10115-023-01901-x65:11(4433-4478)Online publication date: 4-Jun-2023
  • (2021)Vertical Result Page Generation for Academic Web SearchingResult Page Generation for Web Searching10.4018/978-1-7998-0961-6.ch005(43-69)Online publication date: 2021
  • (2021)Academic Article Recommendation by Considering the Research Field TrajectoryIntelligent Computing Paradigm and Cutting-edge Technologies10.1007/978-3-030-65407-8_39(447-454)Online publication date: 22-Apr-2021
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
JCDL '07: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
June 2007
534 pages
ISBN:9781595936448
DOI:10.1145/1255175
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 June 2007

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. co-citation
  2. co-download
  3. http access logs
  4. recommendations

Qualifiers

  • Article

Conference

JCDL07
JCDL07: Joint Conference on Digital Libraries
June 18 - 23, 2007
BC, Vancouver, Canada

Acceptance Rates

Overall Acceptance Rate 415 of 1,482 submissions, 28%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)3
  • Downloads (Last 6 weeks)1
Reflects downloads up to 17 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2023)Scholarly recommendation systems: a literature surveyKnowledge and Information Systems10.1007/s10115-023-01901-x65:11(4433-4478)Online publication date: 4-Jun-2023
  • (2021)Vertical Result Page Generation for Academic Web SearchingResult Page Generation for Web Searching10.4018/978-1-7998-0961-6.ch005(43-69)Online publication date: 2021
  • (2021)Academic Article Recommendation by Considering the Research Field TrajectoryIntelligent Computing Paradigm and Cutting-edge Technologies10.1007/978-3-030-65407-8_39(447-454)Online publication date: 22-Apr-2021
  • (2020)Recommendations and privacy in the arXiv systemJournal of the Association for Information Science and Technology10.1002/asi.2423671:3(300-313)Online publication date: 28-Jan-2020
  • (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)Joint Model Feature Regression and Topic Learning for Global Citation RecommendationIEEE Access10.1109/ACCESS.2018.28849817(1706-1720)Online publication date: 2019
  • (2019)Insights into relevant knowledge extraction techniques: a comprehensive reviewThe Journal of Supercomputing10.1007/s11227-019-03009-yOnline publication date: 3-Oct-2019
  • (2019)Discovering related scientific literature beyond semantic similarityScientometrics10.1007/s11192-019-03125-9120:1(105-127)Online publication date: 1-Jul-2019
  • (2019)Multi-view Navigation in a Personalized Scientometric Retrieval SystemEnterprise Information Systems10.1007/978-3-030-26169-6_13(262-282)Online publication date: 28-Jul-2019
  • (2019)On Convergence of Controlled Snowball Sampling for Scientific Abstracts CollectionInformation and Communication Technologies in Education, Research, and Industrial Applications10.1007/978-3-030-13929-2_2(18-42)Online publication date: 14-Feb-2019
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media