Work

Recommending related papers based on digital library access records

Year: 2007

Type: conference-paper

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.

Source: ACM/IEEE Joint Conference on Digital Libraries

DOI: 10.1145/1255175.1255260

Authors: Stefan Pohl, Filip Radlinski, Thorsten Joachims

Institution: Cornell University

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funders: National Science Foundation, Microsoft Research, SLAC National Accelerator Laboratory

Award: CAREER: Improving Information Access by Learning from User Interactions