bpr-knn is a collaberative filter recommender.
The adaptive KNN method is implemented. https://arxiv.org/pdf/1205.2618.pdf
To use this library:
pip install bpr_knn
It will automatically install numpy as well.
Process the users and items in format of indexes starts from 0. Then initialize the module by
from bpr_knn import KNN
bpr = KNN(#users, #items)
The constructor also has optional parameters lamI, lamJ, learningRate.
Then train model by
bpr.train(trainData, epochs, batchSize)
where the recommended format of trainData is list of user-item index tuple pairs.
eg: [(0,1),(0,3),(1,1),(2,0),(2,3)]
and epochs, batchSize are optional.
Finally make predictions by
bpr.predictionsKNN(K, userIndex)
or
bpr.predictionsAll(userIndex, itemIndex)