Dimensional translator
View Patent ↗A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.
1. A computer-implemented method of categorizing coupons, the method being implemented on a computer comprising one or more physical processors executing one or more computer executable instructions which, when executed by the one or more physical processors, cause the computer to perform the method, the method comprising:
obtaining, by the computer, via a network, information relating to a coupon to be distributed;
obtaining, by the computer, via the network, information that indicates at least a first category in which an item related to the coupon should be placed;
causing, by the computer, an association between the first category in which the item should be placed and information that identifies the coupon to be stored, wherein the coupon is categorized into the first category based on the stored association;
receiving, by the computer, a request to display coupons;
responsive to the request, generating, by the computer, a user interface that includes a plurality of coupons, each categorized into a respective category, wherein the plurality of coupons includes the coupon categorized into the first category; and
causing, by the computer, the user interface to be provided via the network.
2. The method of claim 1 , wherein the information that indicates the first category comprises a keyword that describes the coupon.
3. The method of claim 2 , wherein a plurality of categories is associated with respective sets of one or more keywords such that a given one of the plurality of categories is associated with one or more keywords that describe items in the given one of the plurality of categories.
4. The method of claim 3 , the method further comprising:
comparing, by the computer, the keyword with the respective sets of one or more keywords associated with the plurality of categories;
determining, by the computer, a perfect or imperfect match between the keyword and at least one of the keywords from the respective sets of one or more keywords; and
determining, by the computer, that the coupon should be associated with the first category based on the perfect or imperfect match.
5. The method of claim 3 , the method further comprising:
obtaining, by the computer, a data structure that describes the plurality of categories including the first category and a second category of items, the data structure comprising a hierarchy that describes an association between the first category and the second category, wherein the second category includes the first category as a sub-category of the second category; and
determining, by the computer, that the coupon is associated with the second category based on the hierarchy and the first category.
6. The method of claim 5 , wherein the user interface comprises an arrangement of the plurality of coupons based on their respective categories and the hierarchy.
7. The method of claim 1 , wherein the information that indicates the first category comprises an item identifier that identifies the item.
8. The method of claim 7 , wherein the item identifier comprises a universal product code.
9. The method of claim 7 , wherein the information that indicates the first category comprises a data structure that includes: (i) a second item identifier that identifies a second item related to the item, and (ii) an association between the second item and the first category.
10. The method of claim 9 , the method further comprising:
determining, by the computer, that the item is related to the second item; and
determining, by the computer, that the coupon should be associated with the first category based on the association between the second item and the first category and the relation between the item and the second item.
11. A system of categorizing coupons, the system comprising:
a computer comprising one or more physical processors executing one or more computer executable instructions which, when executed by the one or more physical processors, programs the computer to:
obtain via a network, information relating to a coupon to be distributed;
obtain, via the network, information that indicates at least a first category in which an item related to the coupon should be placed;
cause an association between the first category in which the item should be placed and information that identifies the coupon to be stored, wherein the coupon is categorized into the first category based on the stored association;
receive a request to display coupons;
responsive to the request, generate a user interface that includes a plurality of coupons, each categorized into a respective category, wherein the plurality of coupons includes the coupon categorized into the first category; and
cause the user interface to be provided via the network.
12. The system of claim 11 , wherein the information that indicates the first category comprises a keyword that describes the coupon.
13. The system of claim 12 , wherein a plurality of categories is associated with respective sets of one or more keywords such that a given one of the plurality of categories is associated with one or more keywords that describe items in the given one of the plurality of categories.
14. The system of claim 13 , wherein the computer is further programmed to:
compare the keyword with the respective sets of one or more keywords associated with the plurality of categories;
determine a perfect or imperfect match between the keyword and at least one of the keywords from the respective sets of one or more keywords; and
determine that the coupon should be associated with the first category based on the perfect or imperfect match.
15. The system of claim 11 , wherein the information that indicates the first category comprises an item identifier that identifies the item.
16. The system of claim 15 , wherein the item identifier comprises a universal product code.
17. The system of claim 15 , wherein the information that indicates the first category comprises a data structure that includes: (i) a second item identifier that identifies a second item related to the item, and (ii) an association between the second item and the first category.
18. The system of claim 17 , wherein the computer is further programmed to:
determine that the item is related to the second item; and
determine that the coupon should be associated with the first category based on the association between the second item and the first category and the relation between the item and the second item.
19. The system of claim 11 , wherein the computer is further programmed to:
obtain a data structure that describes the plurality of categories including the first category and a second category of items, the data structure comprising a hierarchy that describes an association between the first category and the second category, wherein the second category includes the first category as a sub-category of the second category; and
determine that the coupon is associated with the second category based on the hierarchy and the first category.
20. The system of claim 19 , wherein the user interface comprises an arrangement of the plurality of coupons based on their respective categories and the hierarchy.