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The best way to create a preference matrix

Time:09-15

I have a matrix of 193,000 users and 16,000 movies. In addition, I have a matrix of those users' interactions with movies. Interactions

I want to create a preference matrix. If the user interacted with the movie, then on their intersection in the matrix put a score.

The interaction matrix contains 5000000 rows.

What is the best way to fill out the preference matrix?

Not what i did. idid

Preference matrix: d = pd.DataFrame(0, index = submission['user_id'].unique(), columns = interactions['item_id'].unique(), dtype = 'int8') matrix screen

CodePudding user response:

you can try this

df['has_watched'] = (df['watched_pct'] > 0).astype(int)
df.pivot(index='user_id',columns='item_id',values='has_watched').fillna(0)
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