TRANSACTION DATA REPRESENTATIONS USING AN ADJACENCY MATRIX

• US 20140324646A1
• Filed: 07/03/2014
• Published: 10/30/2014
• Est. Priority Date: 11/09/2007
• Status: Abandoned Application

• Current Assignee: PayPal, Inc. (PayPal Holdings, Inc.)
• Original Assignee: eBay Inc.
• Inventors: Patil, Dhanurjay A.S., Jastrebski, Grahame Andrew, Miller, Allison E., Riccomini, Chris
• Application Number:
  US14/323,858
• Publication Number:
  US 20140324646A1
• Time in Patent Office: Days
• US Class Current: 705/30
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 40/12 Accounting
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs

Abstract

In some example embodiments, a system and method is illustrated as including receiving an indication of a period of time and a recursive operation to segment the period of time. Account data including at least one account identifier and transaction data for the at least one account identifier for the period of time is retrieved. Further, in some example embodiments, a matrix is generated based on the retrieved account data. The recursive operation is executed, whereby the execution results in a graphical effect showing the changes of the transaction data over the period of time.

Claims

1. A method comprising:

receiving an indication of a period of time and an indication of a recursive operation;

retrieving account data including at least one of an account identifier and transaction data for the at least one account identifier for the period of time;

generating, using one or more hardware processors, a matrix based on the retrieved account data; and

executing the recursive operation, the executing resulting in a graphical effect showing the changes of the transaction data over the period of time.

2. The method of claim 1, wherein the graphical effect is an animation effect.

3. The method of claim 1, wherein the indication of the period of time comprises a selection of a beginning and ending point of time.

4. The method of claim 1, further comprising:

receiving sorting instructions to sort the generated matrix according to a characteristic of transactions; and

sorting the generated matrix including the account data to create a sorted matrix based on the received sorting instructions.

5. The method of claim 4, further comprising:

receiving a selection of an area of the sorted matrix defining a micro segment, the micro segment being a subdivision of the sorted matrix; and

sorting the micro segment to generate a sorted micro segment.

6. The method of claim 4, further comprising analyzing the sorted matrix to determine a pattern that indicates a transaction trend.

7. The method of claim 6, wherein the transaction trend indicated by the pattern comprises an existence of on-going fraud within a networked marketplace.

8. The method of claim 6, wherein the transaction trend indicated by the pattern comprises buying habits of at least some of purchasers within a networked marketplace.

9. The method of claim 1, wherein the matrix is a three-dimensional matrix having:

a first axis representing accounts held by sellers in transactions in a networked marketplace of sellers and purchasers;

a second axis representing accounts held by purchasers in the transactions in the networked marketplace of sellers and purchasers; and

a third axis that provides a topology for a plurality of convergence points that each represent a transactional relationship between the accounts corresponding to each of convergence points.

10. The method of claim 1, wherein the matrix is a two-dimensional matrix having:

a first axis representing accounts held by sellers in transactions in a networked marketplace of sellers and purchasers; and

a second axis representing accounts held by purchasers in the transactions in the networked marketplace of sellers and purchasers.

11. The method of claim 1, further comprising:

generating a plurality of matrices using the retrieved account data; and

combining the plurality of matrices to create a multi-dimensional array, wherein each sub-array of the multi-dimensional array corresponds to a particular type of convergence point between accounts.

12. A system comprising:

one or more hardware processors configured to include;

a retriever to retrieve, for a period of time, account data including at least one account identifier and transaction data for the at least one account identifier, and

a generator to generate a matrix based on the retrieved account data; and

a display to display changes of the transaction data over the period of time based on execution of a recursive operation, the execution resulting in the display of changes as a graphical effect showing the changes of the transaction over the period of time.

13. The system of claim 12, wherein the one or more hardware processors are further configured to include a sorting engine to sort the generated matrix including the account data to create a sorted matrix based on sorting instructions, the sorted matrix indicating a transaction trend within a networked marketplace of sellers and purchasers.

14. The system of claim 13, wherein the one or more hardware processors are further configured to include an automated inspection component to determine a pattern that indicates the transaction trend within a networked marketplace of sellers and purchasers by analyzing the sorted matrix.

15. The system of claim 12, wherein the generator generates a plurality of matrices and creates a multi-dimensional array from the plurality of matrices, wherein each sub-array of the multi-dimensional array corresponds to a particular type of convergence point between the accounts.

16. The system of claim 15, wherein the one or more hardware processors are further configured to include:

a selection engine to receive a selection of an area of the sorted matrix to form a micro segment, the micro segment being a subdivision of the sorted matrix; and

the sorting engine to sort the micro segment to generate a sorted micro segment.

17. The system of claim 12, wherein the matrix is a three-dimensional matrix having:

a first axis representing accounts held by sellers in transactions in a networked marketplace of sellers and purchasers;

a second axis representing accounts held by purchasers in the transactions in the networked marketplace of sellers and purchasers; and

a third axis that provides a topology for a plurality of convergence points that each represent a transactional relationship between the accounts corresponding to each of convergence points.

18. The system of claim 12, wherein the matrix is a two-dimensional matrix having:

a first axis representing accounts held by sellers in transactions in a networked marketplace of sellers and purchasers; and

a second axis representing accounts held by purchasers in the transactions in the networked marketplace of sellers and purchasers.

19. A machine-readable storage medium having no transitory signals and comprising instructions, which when implemented by one or more hardware processors of a machine, cause the machine to perform operations comprising:

receiving an indication of a period of time;

retrieving account data including at least one account identifier and transaction data for the at least one account identifier for the period of time;

generating a matrix based on the retrieved account data; and

executing a recursive operation, the executing resulting in a graphical effect showing the changes of the transaction data over the period of time.

20. The machine-readable storage medium of claim 19, wherein the operations further comprise analyzing the matrix to determine a pattern that indicates a transaction trend, the transaction trend indicated by the pattern comprises an existence of on-going fraud within a networked marketplace or buying habits of at least some purchasers within the networked marketplace.