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US 2019/0057430 A1Published application
Method and system for clustering products in an electronic commerce environment
AssigneeRetailCommon Inc.
InventorsQi (Nick) ZHU, Alishan LADHANI, Gillian CHESNAIS
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Abstract
A method and system for clustering products by determining a similarity of the products based on their characteristics. Based on the similarity of the products, an n-space mapping can be generated. The n-space mapping can then be used to reflect how products are clustered together based on similarity propagation.
Claims12
A method of clustering a plurality of products in an electronic commerce (e-commerce) environment comprising:
- comparing a set of characteristics associated of a selected product with a set of characteristics of each of the other plurality of products;
- determining a set of locality sensitive hash values for the selected product based on the set of characteristics of the other plurality of products;
- and
- mapping the first product based on the set of locality sensitive hash values on a n-dimensional mapping space;
- wherein n is equal to a number of characteristics in the set of characteristics.
2 more elements
A system for clustering a plurality of products in an electronic commerce (e-commerce) environment comprising:
- a memory component comprising one or more modules executable by one or more processors, the one or more modules comprising:
- a communication module for communicating with users and merchants;
- and
- a clustering module for comparing a product with the plurality of products to generate a set of locality sensitive hash values and to map the set of locality sensitive hash values to an n-dimensional space mapping.
1 more element
Dependencies are inferred from the claim text.