Recommender_System_Adaptive_KNN

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.

How to use

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)