Item attribute based data mining system

Patent metadata

Field	Value
Publication number	US-10073892-B1
Application number	US-201514738097-A
Country	US
Kind code	B1
Filing date	Jun 12, 2015
Priority date	Jun 12, 2015
Publication date	Sep 11, 2018
Grant date	Sep 11, 2018

Abstract

Data mining systems and methods are disclosed for item recommendation based on frequent attribute-values associated with items. The system may determine commonalities in item attribute-values based on user transactions and identify frequent attribute-value tuples that include attribute-values that frequently co-occur in user transactions. The system may associate user interests with the frequent attribute-value tuples and recommend items to target users based thereon. A user-interface for presenting the recommendation allows users to explore item recommendations based on modifications to one or more frequent attribute-value tuples initially recommended to the user

First claim

What is claimed is:

1. A method for item recommendation based on item attribute-value tuples that are frequent to user transactions, comprising:
obtaining item acquisition data indicating a plurality of transactions associated with a set of users, wherein individual transactions include one or more items acquired by a corresponding user;
incorporating item attribute-values into the item acquisition data, wherein individual items are associated with one or more item attribute-values;
identifying a set of attribute-value tuples, wherein individual attribute-value tuples of the set of attribute-value tuples include two or more item attribute-values that co-occur in individual transactions of a subset of the plurality of transactions;
associating user interest measures with individual attribute-value tuples of the set of attribute-value tuples, wherein associating user interest measures with individual attribute-value tuples comprises generating a user interest measure for the attribute-value tuple based, at least in part, on one or more user ratings of an item corresponding to the attribute-value tuple;
identifying a first attribute-value tuple from the set of attribute-value tuples for a target user based, at least in part, on the user interest measures;
causing presentation, to the target user, of a first recommendation based, at least in part, on the first attribute-value tuple;
obtaining, from the target user, an indication of a modification to the first attribute-value tuple;
identifying items corresponding to the modified first attribute-value tuple; and
causing presentation, to the target user, of a second recommendation based, at least in part, on the items corresponding to the modified first attribute-value tuple;
the method performed programmatically by one or more computing systems under control of executable program code.

2. The method of claim 1 , wherein individual items include a product or service represented in an electronic catalog system.

3. The method of claim 1 , wherein one or more items acquired by a corresponding user correspond to one or more items purchased, rented, licensed, downloaded, installed, added to a wish list, saved, tagged, recommended, or subscribed to by the corresponding user.

4. The method of claim 1 , wherein individual item attribute-values represent a generalization or categorization of an aspect of a corresponding item.

5. The method of claim 1 , wherein at least two transactions of the subset of transactions are associated with different users.

6. The method of claim 1 , wherein identifying a first attribute-value tuple for a target user comprises identifying an attribute-value tuple associated with a user interest measure in connection with the target user.

7. The method of claim 1 , wherein the presentation of the first recommendation includes presenting a user-interface representing the first attribute-value tuple.

8. The method of claim 7 , wherein the indication of modification to the first attribute-value tuple is obtained based, at least in part, on the target user's interaction with the user-interface.

9. The method of claim 1 , wherein the modification to the first attribute-value tuple includes changes to at least one attribute-value of the attribute-value tuple.

10. A system for item recommendation based on item attribute-value tuples that are frequent to user transactions, the system comprising:
a computing system comprising one or more hardware processors, the computing system programmed with executable instructions to perform a process that comprises:
obtaining item acquisition data indicating a plurality of transactions associated with a set of users, wherein individual transactions include one or more items acquired by a corresponding user;
incorporating item attribute-values into the item acquisition data, wherein individual items are associated with one or more item attribute-values;
identifying a set of attribute-value tuples, wherein individual attribute-value tuples of the set of attribute-value tuples include two or more item attribute-values that co-occur in individual transactions of a subset of the plurality of transactions;
associating user interest measures with individual attribute-value tuples of the set of attribute-value tuples, wherein associating user interest measures with individual attribute-value tuples comprises generating a user interest measure for the attribute-value tuple based, at least in part, on one or more user ratings of an item corresponding to the attribute-value tuple;
identifying a first attribute-value tuple from the set of attribute-value tuples for a target user based, at least in part, on the user interest measures;
causing presentation, to the target user, of a first recommendation based, at least in part, on the first attribute-value tuple;
obtaining, from the target user, an indication of a modification to the first attribute-value tuple;
identifying items corresponding to the modified first attribute-value tuple; and
causing presentation, to the target user, of a second recommendation based, at least in part, on the items corresponding to the modified first attribute-value tuple.

11. The system of claim 10 , wherein individual items include a product or service represented in an electronic catalog system.

12. The system of claim 10 , wherein one or more items acquired by a corresponding user correspond to one or more items purchased, rented, licensed, downloaded, installed, added to a wish list, saved, tagged, recommended, or subscribed to by the corresponding user.

13. The system of claim 10 , wherein individual item attribute-values represent a generalization or categorization of an aspect of a corresponding item.

14. The system of claim 10 , wherein at least two transactions of the subset of transactions are associated with different users.

15. The system of claim 10 , wherein identifying a first attribute-value tuple for a target user comprises identifying an attribute-value tuple associated with a user interest measure in connection with the target user.

16. The system of claim 10 , wherein the presentation of the first recommendation includes presenting a user-interface representing the first attribute-value tuple.

17. The system of claim 16 , wherein the indication of modification to the first attribute-value tuple is obtained based, at least in part, on the target user's interaction with the user-interface.

18. The system of claim 10 , wherein the modification to the first attribute-value tuple includes changes to at least one attribute-value of the attribute-value tuple.

Assignees

• Amazon Tech Inc

Inventors

• Khare Vineet
• Natarajan Aswin

Classifications

• G06F16/2465 Primary

  Query processing support for facilitating data mining operations in structured databases · CPC title

• G06F16/26

  Visual data mining; Browsing structured data · CPC title

• G06F17/30572

  Physics · mapped topic

• G06F17/30539 Primary

  Physics · mapped topic