Kişiselleştirilmemiş öneriler
Python ile Öneri Motorları Geliştirme
Rob O'Callaghan
Director of Data
Kişiselleştirilmemiş puanlar
En popüler öğeleri bulma
book_df DataFrame'i:
| Kullanıcı | Kitap |
|---|---|
| User_233 | The Great Gatsby |
| User_651 | The Catcher in the Rye |
| User_131 | The Lord of the Rings |
| User_965 | Little Women |
| User_651 | Fifty Shades of Grey |
| ... | ... |
En popüler öğeleri bulma
book_df['book'].value_counts()
40 Shades of Grey 524
Harry Potter and the Sorcerer's Stone 487
The Da Vinci Code 455
The Twilight Saga 401
Lord of the Rings 278
...
En popüler öğeleri bulma
print(book_df.value_counts().index)
Index(['40 Shades of Grey', 'Harry Potter and the Sorcerer's Stone',
'The Da Vinci Code', 'The Twilight Saga',
'The Lord of the Rings'],
dtype='object')
En çok beğenilen öğeleri bulma
user_ratings DataFrame'i:
| Kullanıcı | Kitap | Puan |
|---|---|---|
| User_233 | The Great Gatsby | 3.0 |
| User_651 | The Catcher in the Rye | 5.0 |
| User_131 | The Lord of the Rings | 3.0 |
| User_965 | Little Women | 4.0 |
| User_651 | Fifty Shades of Grey | 2.0 |
| ... | ... | ... |
En çok beğenilen öğeleri bulma
avg_rating_df = user_ratings[["book", "rating"]].groupby(['book']).mean()
avg_rating_df.head()
rating
title
Hamlet 4.1
The Da Vinci Code 2.1
Gone with the Wind 4.2
Fifty Shades of Grey 1.2
Wuthering Heights 3.9
...
En çok beğenilen öğeleri bulma
sorted_avg_rating_df = avg_rating_df.sort_values(by="rating", ascending=False)
sorted_avg_rating_df.head()
rating
title
The Girl in the Fog 5.0
Behind the Bell 5.0
Across the River and into the Trees 5.0
The Complete McGonagall 5.0
What Is to Be Done? 5.0
...
En çok beğenilen öğeleri bulma
(user_ratings['title']=='The Girl in the Fog').sum()
1
(user_ratings['title']=='Valley of the Dolls').sum()
1
(user_ratings['title']=='Across the River and into the Trees').sum()
1
En çok beğenilen popüler öğeleri bulma
book_frequency = user_ratings["book"].value_counts()
print(book_frequency)
40 Shades of Grey 524
Harry Potter and the Sorcerer's Stone 487
...
frequently_reviewed_books = book_frequency[book_frequency > 100].index
print(frequently_reviewed_books)
Index([u'The Lord of the Rings', u'To Kill a Mockingbird', u'Of Mice and Men',
u'1984', u'Hamlet'])
En çok beğenilen popüler öğeleri bulma
frequent_books_df = user_ratings_df[user_ratings_df["book"].isin(frequently_reviewed_books)]
frequent_books_avgs = frequently_reviewed_books[["title", "rating"]].groupby('title').mean()
print(frequent_books_avgs.sort_values(by="rating", ascending=False).head())
rating
title
To Kill a Mockingbird 4.7
1984. 4.7
Harry Potter and the Sorcerer's Stone 4.6
...
Hadi pratik yapalım!
Python ile Öneri Motorları Geliştirme
