Method to identify a suggested location for storing a data entry in a database

• US 10,475,116 B2
• Filed: 06/03/2003
• Issued: 11/12/2019
• Est. Priority Date: 06/03/2003
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Nelson, Dorothy Ann, Jesse, David, Gross, Petra
• Primary Examiner(s): Torgrimson, Tyler J
• Application Number:
  US10/454,454
• Publication Number:
  US 20040249794A1
• Time in Patent Office: 6,006 Days
• Field of Search: 707 10, 7071041, 707737, 7079991
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06Q 30/08 Auctions

Abstract

A method and system to identify a suggested location for storing a data entry in a database including a plurality of divisions is provided. The method includes receiving entry criteria associated with the data entry, and searching the database using the entry criteria to locate similar stored data entries. At least one division for data entries is identified wherein the stored data entries are located. The at least one division is then presented to a user as the suggested location. The method and system may be applied in a network-based auction facility and the data entry may then be a user listing. The method may thus include identifying at least one potentially relevant category for the user listing as the suggested location.

Claims

1. A method to identify a suggested location for storing a new data entry from a user in at least one database storage division of a database that includes a plurality of database storage divisions for storing data entries in the database, the method comprising:

receiving by a server, from the user, a keyword identifying the new data entry to be stored in computer storage in at least one database storage division of the plurality of database storage divisions in the database;

searching the database using a keyword search, based on the keyword received from the user, to locate data entries stored in the database that are similar to the new data entry to be stored;

identifying the at least one database storage division in which the stored data entries that are similar to the new data entry to be stored are located based on a relevance for the database storage division, the relevance determined using a number of data entries stored in a respective database storage division as a percentage of a total number of data entries located by the search; and

presenting to the user the identified at least one database storage division as the suggested location to store the new data entry.

2. The method of claim 1, which includes:

identifying the plurality of database storage divisions in which the stored data entries are located; and

determining a relevance of each of the plurality of database storage divisions identified based on a number of stored data entries located in a respective database storage division.

3. The method of claim 2, wherein the plurality of database storage divisions are a plurality of categories of data entries in a database of a network-based commerce facility.

4. The method of claim 3, wherein the network-based commerce facility is a network-based auction facility and the new data entry is a user listing, the method including identifying at least one potentially relevant category for the user listing as the suggested location.

5. The method of claim 4, wherein the network-based auction facility is a web-based auction facility, the method including:

rendering a web page to the user to enter at least one user listing for auctioning by the auction facility, the web page including a listing criterion field for receiving the entry criterion from the user; and

rendering a web page to the user in which the at least one potentially relevant category is presented to the user as the suggested location.

6. The method of claim 5, which includes:

removing stored listings from the database that are no longer up for auction by the auction facility;

adding additional listings up for auction; and

searching the database based on the entry criterion to locate listings stored in the database that are similar to the new data entry to be stored, wherein the relevance of each identified category changes dynamically over a period of time as listings are added and removed from the database.

7. The method of claim 2, which includes:

identifying a group of database storage divisions from the plurality of database storage divisions identified, each database storage division in the group of database storage divisions including a predetermined minimum number of stored data entries located therein; and

presenting the identified group of database storage divisions to the user.

8. The method of claim 1, which includes:

identifying the plurality of database storage divisions in which the stored data entries are located;

monitoring selection of a database storage division by the user from the identified plurality of database storage divisions; and

storing the new data entry in the database storage division selected by the user.

9. The method of claim 8, which includes:

receiving a further entry criterion;

searching the database based on the further entry criterion to locate further similar stored data entries;

identifying at least one further database storage division for data entries wherein the further similar stored entries are located;

in an event of the selected database storage division being identified during the search using the further entry criterion, eliminating the selected database storage division from the at least one further database storage division and presenting any remaining further database storage divisions to the user; and

in an event of the selected database storage division not being identified during the search using the further entry criterion, presenting the at least one further database storage division as a further potentially relevant location to the user.

10. The method of claim 1, wherein the plurality of database storage divisions are categories of data entries in a database of a network-based commerce facility, the method including:

identifying a plurality of categories in which the stored data entries are located; and

determining a relevance of each category identified based on one of a weight associated with a respective category and a price range of the stored data entries in the respective category.

11. The method of claim 1, wherein the entry criterion includes a plurality of keywords, the method including processing the entry criterion to remove at least one predetermined keyword.

12. The method of claim 1, which includes providing the user with an indication that no database storage division in which the stored data entries are located was identified based on the entry criterion.

13. A non-transitory machine-readable hardware storage device including a set of instructions for identifying a suggested location for storing a new data entry in a database including a plurality of database storage divisions, the instructions, when executed by a processor, cause the machine to:

receive by a server keywords from a user associated with the new data entry to be stored in at least one database storage division of the plurality of database storage divisions in the database;

search the database by the server, using a keyword search based on the keyword received from the user, to locate data entries stored in the database that are similar to the new data entry to be stored;

identify at least one database storage division in which the stored data entries that are similar to the new data entry to be stored are located based on a relevance for the database storage division, the relevance determined using a number of data entries stored in a respective database storage division as a percentage of a total number of data entries located by the search; and

present to the user the identified at least one database storage division as the suggested location to store the new data entry.

14. The non-transitory machine-readable hardware storage device of claim 13, wherein the at least one database storage divisions comprise a plurality of categories of data entries in a database of a network-based commerce facility.

15. The non-transitory machine-readable hardware storage device of claim 14, wherein the network-based commerce facility is a network-based auction facility and the new data entry is a user listing, the instructions causing the machine to identify at least one potentially relevant category for the user listing as the suggested location.

16. The non-transitory machine-readable hardware storage device of claim 15, wherein the network-based auction facility is a web-based auction facility, the instructions causing the machine to:

render a web page to the user to enter at least one listing for auctioning by the auction facility, the web page including a listing criterion field for receiving the entry criterion from the user; and

render a web page to the user in which the at least one potentially relevant category is presented to the user as the suggested location.

17. The non-transitory machine-readable hardware storage device of claim 16, in which the instructions cause the machine to:

remove stored listings from the database that are no longer up for auction by the auction facility;

add additional listings up for auction; and

search the database based on the entry criterion to locate listings stored in the database that are similar to the new data entry to be stored, wherein the relevance of each identified category changes dynamically over a period of time as listings are added and removed from the database.

18. The non-transitory machine-readable hardware storage device of claim 13, in which the instructions cause the machine to:

identify a group of database storage divisions from the plurality of database storage divisions, each division in the group of database storage divisions including a predetermined minimum number of stored data entries located therein; and

present the identified group of divisions to the user.

19. The non-transitory machine-readable hardware storage device of claim 13, in which the instructions cause the machine to:

identify a plurality of database storage in which the stored data entries are located;

monitor selection of a database storage division by the user from the identified plurality of database storage divisions; and

store the new data entry in the database storage division selected by the user.

20. The non-transitory machine-readable hardware storage device of claim 19, in which the instructions cause the machine to:

receive a further entry criterion;

search the database based on the further entry criterion to locate further similar stored data entries;

identify at least one further database storage division for data entries wherein the further similar stored entries are located;

in an event of the selected database storage division being identified during the search based on the further entry criterion, eliminate the selected database storage division from the at least one further database storage division and present any remaining further database storage divisions to a user; and

in an event of the selected database storage division not being identified during the search based on the further entry criterion, present the at least one further database storage division as a further potentially relevant location to the user.

21. The non-transitory machine-readable hardware storage device of claim 13, wherein the database storage divisions are categories of data entries in a database of a network-based commerce facility, the instructions causing the machine to:

identify a plurality of categories in which the stored data entries are located; and

determine a relevance of each category identified based on one of a weight associated with a respective category and a price range of the stored data entries in the respective category.

22. The non-transitory machine-readable hardware storage device of claim 13, wherein the entry criterion includes a plurality of keywords, the instructions causing the machine to process the entry criterion to remove at least one predetermined keyword.

23. The non-transitory machine-readable hardware storage device of claim 13, in which the instructions cause the machine to provide the user with an indication that no database storage division in which data entries are located was identified based on the entry criterion.

24. A system to identify a suggested location for storing a new data entry, the system including:

a database including a plurality of database storage divisions; and

at least one server to;

receive from a user a keyword associated with the new data entry to be stored in at least one database storage division of the plurality of database storage divisions in the database;

search the database using a keyword search based on the keyword received from the user to locate data entries stored in the database that are similar to the new data entry to be stored;

identify at least one database storage division in which the stored data entries that are similar to the new data entry to be stored are located based on a relevance for the database storage division, the relevance determined using a number of data entries stored in a respective database storage division as a percentage of a total number of data entries located by the search; and

present to a user the identified at least one database storage division as the suggested location to store the new data entry.

25. The system of claim 24, wherein the at least one database storage divisions comprise a plurality of categories in a network-based auction facility and the new data entry is a user listing, and at least one potentially relevant category is identified for the user listing as the suggested location.

26. The system of claim 25, wherein the network-based auction facility is a web-based auction facility, and in which the server:

renders a web page to the user to enter at least one user listing for auctioning by the auction facility, the web page including a listing criterion field for receiving the entry criterion from the user; and

renders a web page to the user in which the at least one potentially relevant category is presented to the user as the suggested location.

27. The system of claim 26, in which the server:

removes stored listings from the database that are no longer up for auction by the auction facility;

adds additional listings up for auction; and

searches the database based on the entry criterion to locate listings stored in the database that are similar to the new data entry to be stored, wherein the relevance of each identified category changes dynamically over a period of time as listings are added and removed from the database.

28. A system to identify a suggested location for storing a new data entry in a database including a plurality of database storage divisions, the system including:

means for receiving from a user a keyword associated with the new data entry to be stored in at least one database storage division of the plurality of database storage divisions in the database;

means for searching the database by a server, using a keyword search based on the keyword received from the user, to locate data entries stored in the database that are similar to the new data entry to be stored;

means for identifying at least one database storage division in which the stored data entries that are similar to the new data entry to be stored are located based on a relevance for the database storage division, the relevance determined using a number of data entries stored in a respective database storage division as a percentage of a total number of data entries located by the search; and

means for presenting to the user the identified at least one database storage division as the suggested location to store the new data entry.

29. A method to identify a suggested location for storing a new data entry in a database including a plurality of database storage divisions, the method including:

generating a user interface on a display of a computing device, the user interface comprising an input section, an output section, and one or more control fields;

receiving from an input field of the input section the new data entry to be stored in at least one division of the plurality of database storage divisions in the database;

searching the database by a server, using a keyword search based on the keyword received from the user, to locate data entries stored in the database that are similar to the new data entry to be stored;

identifying at least one database storage division in which the stored data entries that are similar to the new data entry to be stored are located based on a relevance for the database storage division, the relevance determined using a number of data entries stored in a respective database storage division as a percentage of a total number of data entries located by the search;

displaying, in the output section, the at least one database storage division as the suggested location to store the new data entry; and

selectively storing, in response to receiving a selection of the at least one database storage division from a control field of the user interface, the new data entry in the presented at least one database storage division of the database so that the new data entry becomes a stored new data entry for subsequent searching.