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Membangun Recommendation Engine di Python

Rob O'Callaghan

Director of Data

Rekomendasi berbasis item

Membangun Recommendation Engine di Python

Rekomendasi berbasis item

Membangun Recommendation Engine di Python

Rekomendasi berbasis item

Membangun Recommendation Engine di Python

Dari berbasis pengguna ke berbasis item

Membangun Recommendation Engine di Python

Dari berbasis pengguna ke berbasis item

Membangun Recommendation Engine di Python

Berbasis pengguna ke berbasis item

print(user_ratings_pivot):

          The Great Gatsby    The Catcher in the Rye    Fifty Shades of Grey                    
User_233               0.0                       0.0                     0.0
User_651               0.0                       0.5                    -0.5
User_965               0.5                      -0.5                     0.0
     ...               ...                       ...                     ...

book_ratings_pivot = user_ratings_pivot.T
print(book_ratings_pivot)

                  User_233                  User_651                User_965                    
The Great Gatsby       0.0                       0.0                     0.5
The Catcher in the Rye 0.0                       0.5                    -0.5
Fifty Shades of Grey   0.0                      -0.5                     0.0
                 ...   ...                       ...                     ...
Membangun Recommendation Engine di Python

Kemiripan kosinus

book_ratings_pivot:

                  User_233                  User_651                User_965                    
The Great Gatsby       0.0                       0.0                     0.5
The Catcher in the Rye 0.0                       0.5                    -0.5
Fifty Shades of Grey   0.0                      -0.5                     0.0
                 ...   ...                       ...                     ...
Membangun Recommendation Engine di Python

Kemiripan kosinus

cosine_similarity(                                                                    ,
                                                                               )
Membangun Recommendation Engine di Python

Kemiripan kosinus

cosine_similarity(book_ratings_pivot.loc['Lord of the Rings', :]                      ,
                  book_ratings_pivot.loc['The Hobbit', :]                      )
Membangun Recommendation Engine di Python

Kemiripan kosinus

cosine_similarity(book_ratings_pivot.loc['Lord of the Rings', :].values               ,
                  book_ratings_pivot.loc['The Hobbit', :].values               )
Membangun Recommendation Engine di Python

Kemiripan kosinus

cosine_similarity(book_ratings_pivot.loc['Lord of the Rings', :].values.reshape(1, -1),
                  book_ratings_pivot.loc['The Hobbit', :].values.reshape(1, -1))

0.43

cosine_similarity(book_ratngs.loc['Lord of the Rings', :].values.reshape(1, -1),
                  book_ratngs.loc['Twilight', :].values.reshape(1, -1))

-0.64
Membangun Recommendation Engine di Python

Kemiripan kosinus

similarities = cosine_similarity(book_ratings_pivot)

cosine_similarity_df = pd.DataFrame(book_ratings_pivot,
                                    index=book_ratings_pivot.index,
                                    columns=book_ratings_pivot.index)

cosine_similarity_df.head()

          The Great Gatsby    The Catcher in the Rye    Fifty Shades of Grey                    
The Great Gatsby       1.0                       0.0                    -0.3
The Catcher in the Rye 0.0                       1.0                    -0.5
Fifty Shades of Grey  -0.3                      -0.5                     1.0
                 ...   ...                       ...                     ...
Membangun Recommendation Engine di Python

Kemiripan kosinus

cosine_similarity_series = cosine_similarity_df.loc['The Hobbit']

ordered_similarities = cosine_similarity_series.sort_values(ascending=False)

print(ordered_similarities)

The Hobbit         1.00
Lord of the Rings  0.43
The Silmarillion   0.37
...
Membangun Recommendation Engine di Python

Ayo berlatih!

Membangun Recommendation Engine di Python

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