Further Improvements in Recommendation Systems
This invention deals with improving recommendation systems. The first embodiment combines rules and recommendations to create automated and intelligent business rules for recommendations. The second embodiment improves recommendations by combining the results of driver products and influencer products, where influencer products only influence the recommendations of the driver products. Influencer products can be related to a specific user. The third embodiment improves recommendations for new items by relating them to original items, such that the sales for the original item is used in the new item when calculating recommendations. The new items may replace the original item, or be a similar item and exist alongside the original item.
1 . A method providing automated business rules, comprising the steps of:
a. creating a rule, where, if the feature product has predefined product attribute elements, and the recommended product has predefined product attribute elements, the recommend product's position in the recommendation list is modified
b. generating recommendations for a feature product
c. modifying the recommendation list according to said rule
wherein at least one of the steps utilizes a computing device.
2 . The method of claim 1 wherein the rule promotes recommended products to a higher position in the recommendation list.
3 . The method of claim 1 wherein the rule removes recommended products from the recommendation list.
4 . A method providing recommendations from driver and influencer products, comprising the steps of:
a. generating driver recommendations for a driver product
b. generating influencer recommendations for an influencer product
c. combining driver and influencer recommendations where influencer recommendations are ignored if not already a driver recommendation
wherein at least one of the steps utilizes a computing device.
5 . The method of claim 4 wherein the combination includes summing likelihoods for recommendations common to said influencer product and said driver product.
6 . A method of improving recommendations for new products, comprising the steps of:
a. relating a new product to an original product,
b. using the actions on the original product to calculate recommendations for the new product,
wherein at least one of the steps utilizes a computing device.
7 . The method of claim 6 wherein the new products is an analog of the original product and does not replace it, and the actions on the original product are used for both the original and analog product to calculate recommendations.
8 . The method of claim 7 wherein said actions include an action data, and said actions on the original product are used to calculate the recommendation for said analog product if said action date of the action is before a transaction date.