implicit_feedback_als_6.py

#------------------------------
# FIND SIMILAR ITEMS
#------------------------------

# Let's find similar artists to Jay-Z. 
# Note that this ID might be different for you if you're using
# the full dataset or if you've sliced it somehow. 
item_id = 10277

# Get the item row for Jay-Z
item_vec = item_vecs[item_id].T

# Calculate the similarity score between Mr Carter and other artists
# and select the top 10 most similar.
scores = item_vecs.dot(item_vec).toarray().reshape(1,-1)[0]
top_10 = np.argsort(scores)[::-1][:10]

artists = []
artist_scores = []

# Get and print the actual artists names and scores
for idx in top_10:
    artists.append(item_lookup.artist.loc[item_lookup.artist_id == str(idx)].iloc[0])
    artist_scores.append(scores[idx])

similar = pd.DataFrame({'artist': artists, 'score': artist_scores})

print similar