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Tinder Coach Problem


You operate an online business called tindercoach.com where you give people advice on their Tinder profiles ❤️‍🔥. You have a dictionary of visits indicating how many times each visitor_id visited each page on your site.

import random
import string
from collections import defaultdict

Npages = 10
Nvisitors = 10
Nvisits = 100

random.seed(2357)
visitor_ids = list(set(random.randint(1000, 9999) for i in range(Nvisitors)))
pages = list(set('tindercoach.com/' + ''.join(random.choices(string.ascii_lowercase, k=3)) for i in range(Nvisits)))

visits = defaultdict(int)
for i in range(Nvisits):
    key = (random.choice(visitor_ids), random.choice(pages))
    visits[key] += 1

print(visits)
# defaultdict(<class 'int'>, {
#  (3654, 'tindercoach.com/bgr'): 1, 
#  (1443, 'tindercoach.com/nky'): 1, 
#  (3654, 'tindercoach.com/wpb'): 1, 
#  ..., 
#  (3181, 'tindercoach.com/jam'): 1, 
#  (5502, 'tindercoach.com/cjp'): 1, 
#  (5502, 'tindercoach.com/tjk'): 1
# })

Convert visits into a Compressed Sparse Column (CSC) matrix where element (i,j) stores the number of times visitor i visited page j.

Then print the sub-matrix showing how many times visitors 1443, 6584, and 7040 visited pages tindercoach.com/chl, tindercoach.com/nky, and tindercoach.com/zmr.


Try with Google Colab See the solution