bind ItemScorer to PopularityRankItemScorer
LensKit provides several baseline algorithms based on simple computations such as item popularity and user/item biases.
The PopularityRankItemScorer class provides the basic item scoring logic for popularity-based recommendation. It is implemented as an item scorer so that popularity information can be incorporated into other scorers more easily.
To use it, bind it to the
The scores produced by this scorer are the percentile ranks for each item in the range [0,1], where the most popular item has a rank of 1 and unknown items have a rank of 0.
LensKit’s user/item bias models can be used to compute item scores:
bind ItemScorer to BiasItemScorer bind BiasModel to LiveUserItemBiasModel