Method and system of building store product finders

Abstract

One embodiment provides a system for building store product finders. The system may include: a product search engine to find products matching at least one product subcategory of product subcategories of a store product category for a store product finder, and a dominant product subcategory determining device to determine a dominant product subcategory. Each product subcategory has a product coverage. The dominant product subcategory has a highest product coverage among the product subcategories. The system may also include a filter installing device to install at least one product search filter into the store product finder.

1 . (canceled) 
     
     
         2 . A method comprising:
 determining, for an online store, a product coverage of a product subcategory with respect to a product category that includes the product subcategory in which the product coverage is based on an item count relationship between a total number of products of the online store that are assigned to the product subcategory as compared to a total number of products of the online store that are assigned to the product category and in which the product coverage is based on item demand of the respective products assigned to the product subcategory in which the item demand for a corresponding product is based on one or more demand factors selected from a group of demand factors consisting of: recent sales of the corresponding product; a number of page views of the corresponding product; and a number of times the corresponding product was saved as a favorite product; and   installing, in a store product finder of the online store, a search filter predefined for the product subcategory based on the determined product coverage of the product subcategory.   
     
     
         3 . The method of  claim 2 , further comprising determining that the product subcategory is a dominant product category based on the product coverage of the product subcategory in which the search filter is installed for the product subcategory in response to determining that the product subcategory is a dominant product category. 
     
     
         4 . The method of  claim 2 , wherein the item count relationship and the item demand are weighted differently in determining the product coverage. 
     
     
         5 . The method of  claim 2 , wherein the item count relationship and the item demand are weighted the same in determining the product coverage. 
     
     
         6 . The method of  claim 2 , wherein the product coverage is based on a ratio of the total number of products that are assigned to the product subcategory to the total number of products that are assigned to the product category. 
     
     
         7 . The method of  claim 2 , wherein the product coverage is based on a sum of item demand scores in which each item demand score is determined for each corresponding product of the respective products assigned to the product subcategory. 
     
     
         8 . The method of  claim 2 , wherein the product coverage is based on a ratio of the total number of products that are assigned to the product subcategory to the total number of products that are assigned to the product category and is based on a sum of item demand scores in which each item demand score is determined for each corresponding product of the respective products assigned to the product subcategory. 
     
     
         9 . A system comprising:
 one or more machine readable media having instructions stored thereon; and   one or more hardware processors configured to, in response to execution of the instructions, cause the system to perform operations comprising:   determining, for an online store, a product coverage of a product subcategory with respect to a product category that includes the product subcategory in which the product coverage is based on an item count relationship between a total number of products of the online store that are assigned to the product subcategory as compared to a total number of products of the online store that are assigned to the product category and in which the product coverage is based on item demand of the respective products assigned to the product subcategory in which the item demand for a corresponding product is based on one or more demand factors that indicate consumer demand for the corresponding product; and   installing, in a store product finder of the online store, a search filter predefined for the product subcategory based on the determined product coverage of the product subcategory.   
     
     
         10 . The system of  claim 9 , wherein the operations further comprise determining that the product subcategory is a dominant product category based on the product coverage of the product subcategory in which the search filter is installed for the product subcategory in response to determining that the product subcategory is a dominant product category. 
     
     
         11 . The system of  claim 9 , wherein the item count relationship and the item demand are weighted differently in determining the product coverage. 
     
     
         12 . The system of  claim 9 , wherein the item count relationship and the item demand are weighted the same in determining the product coverage. 
     
     
         13 . The system of  claim 9 , wherein the product coverage is based on a ratio of the total number of products that are assigned to the product subcategory to the total number of products that are assigned to the product category. 
     
     
         14 . The system of  claim 9 , wherein the product coverage is based on a sum of item demand scores in which each item demand score is determined for each corresponding product of the respective products assigned to the product subcategory. 
     
     
         15 . The system of  claim 9 , wherein the product coverage is based on a ratio of the total number of products that are assigned to the product subcategory to the total number of products that are assigned to the product category and is based on a sum of item demand scores in which each item demand score is determined for each corresponding product of the respective products assigned to the product subcategory. 
     
     
         16 . The system of  claim 9 , wherein the one or more demand factors are selected from a group of demand factors consisting of: recent sales of the corresponding product; a number of page views of the corresponding product; and a number of times the corresponding product was saved as a favorite product. 
     
     
         17 . One or more non-transitory machine-readable media having instructions stored thereon that, in response to execution by one or more hardware processors, cause a system to perform operations, the operations comprising:
 determining, for an online store, a product coverage of a product subcategory with respect to a product category that includes the product subcategory in which the product coverage is based on an item count relationship between a total number of products of the online store that are assigned to the product subcategory as compared to a total number of products of the online store that are assigned to the product category and in which the product coverage is based on item demand of the respective products assigned to the product subcategory in which the item demand for a corresponding product is based on a plurality of demand factors comprising: recent sales of the corresponding product; a number of page views of the corresponding product; and a number of times the corresponding product was saved as a favorite product;   determining that the product subcategory is a dominant product category based on the product coverage of the product subcategory; and   installing, in a store product finder of the online store, a search filter predefined for the product subcategory in response to determining that the product subcategory is a dominant product category.   
     
     
         18 . The machine-readable media of  claim 17 , wherein the item count relationship and the item demand are weighted differently in determining the product coverage. 
     
     
         19 . The machine-readable media of  claim 17 , wherein the item count relationship and the item demand are weighted the same in determining the product coverage. 
     
     
         20 . The machine-readable media of  claim 17 , wherein the product coverage is based on a ratio of the total number of products that are assigned to the product subcategory to the total number of products that are assigned to the product category. 
     
     
         21 . The machine-readable media of  claim 17 , wherein the product coverage is based on a sum of item demand scores in which each item demand score is determined for each corresponding product of the respective products assigned to the product subcategory.