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?










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    0












    $begingroup$


    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?










    share|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      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?










      share|improve this question











      $endgroup$




      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






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      share|improve this question













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      edited yesterday









      Ethan

      455220




      455220










      asked yesterday









      DheerajkhannaDheerajkhanna

      64




      64






















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