PageRank recommendations to account for popularity bias

[levrone1987]

I recently stumbled upon this post

The author describes a PageRank adaptation where the transition depends on the perceived item popularity. Is there a way to utilize PageRank for personalized recommendations, as described here, but also make the transitions depend on node degrees (or a list of perceived inversed popularities)? How would you approach this implementation?

Thanks!

[tbonald]

Hi,
I think the best way would be to pre-process the item-user biadjacency matrix (e.g., by multiplying each row by the corresponding perceived item popularity), then to run PageRank on this new matrix.

[levrone1987]

Thanks tbonald! Since the probability of the transitions would be proportional to the multiplication factor, and we would like to lower the impact of high-degree nodes, the multiplication factor should be inverse of the item popularity (degree).