machine learning - Recommender system with time window -


what procedure in item-item cf if want calculate probability or predict count of product purchases user in next 7 or ten days based on purchasing history?

for example if user1 buys 2 breads week, probability he/she buy 2 breads after 7 days again.

i thinking of model user-item matrix contain number of purchases , item has feature parameter such week number corresponding time of product purchases, not sure how is.

thanks lot!


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