Movie Recommendation: support(***M***) = (# user watchlists containing ***M***) / (# user watchlists)
Market Basket Optimisation: support(***I***) = (# transactions containing ***I***) / (# transactions)
Movie Recommendation: confidence(***M1 → M2***) = (# user watchlists containing ***M1*** and ***M2***) / (# user watchlists containing ***M1***)
Market Basket Optimisation: confidence(***I1 → I2***) = (# transactions containing ***I1*** and ***I2***) / (# transactions containing ***I1***)
NOTE:- confidence is defined as the number of people who have seen movies M1 and M2 divided by the number of people who have seen movie M1.
Movie Recommendation: lift(***M1 → M2***) = confidence(***M1 → M2***) / support(***M2***)
Market Basket Optimisation: lift(***I1 → I2***) = confidence(***I1 → I2***) / support(***I2***)
STEP 1: Set a minimum support and confidence
STEP 2: Take all the subsets in transactions having higher support than minimum support
STEP 3: Take all the rules of these subsets having higher confidence than minimum confidence
STEP 4: Sort the rules by decreasing lift
| «Previous | Next» |