गैर-व्यक्तिगत अनुशंसाएँ
Python में रिकमेंडेशन इंजन बनाना
Rob O'Callaghan
Director of Data
गैर-व्यक्तिगत रेटिंग्स
सबसे लोकप्रिय आइटम कैसे खोजें
book_df DataFrame:
| User | Book |
|---|---|
| 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 |
| ... | ... |
सबसे लोकप्रिय आइटम कैसे खोजें
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
...
सबसे लोकप्रिय आइटम कैसे खोजें
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')
सबसे पसंद किए गए आइटम कैसे खोजें
user_ratings DataFrame:
| User | Book | Rating |
|---|---|---|
| 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 |
| ... | ... | ... |
सबसे पसंद किए गए आइटम कैसे खोजें
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
...
सबसे पसंद किए गए आइटम कैसे खोजें
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
...
सबसे पसंद किए गए आइटम कैसे खोजें
(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
सबसे पसंद किए गए लोकप्रिय आइटम कैसे खोजें
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'])
सबसे पसंद किए गए लोकप्रिय आइटम कैसे खोजें
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
...
अभ्यास करते हैं!
Python में रिकमेंडेशन इंजन बनाना
