bind ItemScorer to PopularityRankItemScorer
Baseline Algorithms
LensKit provides several baseline algorithms based on simple computations such as item popularity and user/item biases.
Popular Items
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 ItemScorer interface:
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.
Bias Models
LensKit’s user/item bias models can be used to compute item scores:
bind ItemScorer to BiasItemScorer bind BiasModel to LiveUserItemBiasModel