“Using Access Data for Paper Recommendations”

Here is a pair of papers that I’d like a chance to digest at some point. The first is “Recommending Related Papers Based on Digital Library Access Records” by Stefan Pohl, Filip Radlinski, and Thorsten Joachims. According to the notes on the paper, it is to appear in proceedings of JCDL’07. The 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.