Recommending related papers based on digital library access records

Stefan Pohl · Filip Radlinski · Thorsten Joachims

42 citations0/0 files storedACM/IEEE Joint Conference on Digital Libraries

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scientometrics and bibliometrics research Library Science and Information Recommender Systems and Techniques

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.

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References

1973Co‐citation in the scientific literature: A new measure of the relationship between two documents 1972Citation Analysis as a Tool in Journal Evaluation

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2019Discovering related scientific literature beyond semantic similarity: a new co-citation approach 2015Analysis of the intellectual structure and evolution of technology roadmapping literature

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