IRAug 30, 2014
Marginalizing over the PageRank Damping Factor
arXiv:1409.0104v1
Originality Synthesis-oriented
AI Analysis
This provides a parameter-free alternative to PageRank for information retrieval and classification, but it is incremental as it builds directly on existing PageRank methodology.
The authors tackled the problem of parameter dependence in PageRank by marginalizing over the damping factor to derive TotalRank, a parameter-free version, with applications in information retrieval and classification.
In this note, we show how to marginalize over the damping parameter of the PageRank equation so as to obtain a parameter-free version known as TotalRank. Our discussion is meant as a reference and intended to provide a guided tour towards an interesting result that has applications in information retrieval and classification.