Answers for "light fm cold start problem"

Python

0

light fm cold start problem

def cold_start_similar_items(feat_idxs, item_feat_mtx, model, N=10:
    feat_mat = scipy.sparse.coo_matrix((np.ones_like(feat_idxs),
                                       (feat_idxs, np.zeros_like(feat_idxs))))
    repr, bias = model.item_embeddings(feat_mat)
    scores = item_representation.dot(repr[0].T)
   
    # snip

Posted by: Guest on October-18-2020

Source

Code answers related to "light fm cold start problem"

Code answers related to "Python"

Python Answers by Framework

Django
Flask

Browse Popular Code Answers by Language

Python

Javascript

Whatever

Shell/Bash

CSS

Html

PHP

SQL

Java

C#