Recommending Items using Association Rule Mining
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I am building a recommendation system where if we add an item to a cart, it will recommend the most relevant item corresponding to that item. (More that one item can be recommended).
I applied an Apriori Algorithm on transaction history and then calculated the support, confidence, and lift.
Let's say that I have 3 items in a cart (A,B,C). For A, the top 3 most bought products are (A1,A2,A3). Similarly, for B and C, the most frequently bought items together are (B1,B2,B3) and (C1,C2,C3). When a user adds A,B,C into their cart, I have to show only 3 items. Which items should I recommend?
recommender-system association-rules
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add a comment |
$begingroup$
I am building a recommendation system where if we add an item to a cart, it will recommend the most relevant item corresponding to that item. (More that one item can be recommended).
I applied an Apriori Algorithm on transaction history and then calculated the support, confidence, and lift.
Let's say that I have 3 items in a cart (A,B,C). For A, the top 3 most bought products are (A1,A2,A3). Similarly, for B and C, the most frequently bought items together are (B1,B2,B3) and (C1,C2,C3). When a user adds A,B,C into their cart, I have to show only 3 items. Which items should I recommend?
recommender-system association-rules
$endgroup$
add a comment |
$begingroup$
I am building a recommendation system where if we add an item to a cart, it will recommend the most relevant item corresponding to that item. (More that one item can be recommended).
I applied an Apriori Algorithm on transaction history and then calculated the support, confidence, and lift.
Let's say that I have 3 items in a cart (A,B,C). For A, the top 3 most bought products are (A1,A2,A3). Similarly, for B and C, the most frequently bought items together are (B1,B2,B3) and (C1,C2,C3). When a user adds A,B,C into their cart, I have to show only 3 items. Which items should I recommend?
recommender-system association-rules
$endgroup$
I am building a recommendation system where if we add an item to a cart, it will recommend the most relevant item corresponding to that item. (More that one item can be recommended).
I applied an Apriori Algorithm on transaction history and then calculated the support, confidence, and lift.
Let's say that I have 3 items in a cart (A,B,C). For A, the top 3 most bought products are (A1,A2,A3). Similarly, for B and C, the most frequently bought items together are (B1,B2,B3) and (C1,C2,C3). When a user adds A,B,C into their cart, I have to show only 3 items. Which items should I recommend?
recommender-system association-rules
recommender-system association-rules
edited yesterday
Ethan
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455220
asked yesterday
DheerajkhannaDheerajkhanna
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64
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