SYSTEM AND METHOD FOR AUTOMATICALLY PUBLISHING DATA ITEMS ASSOCIATED WITH AN EVENT

• US 20110099201A1
• Filed: 10/22/2009
• Published: 04/28/2011
• Est. Priority Date: 10/22/2009
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Yu, Vincent Jin, Ye, Helen Hang, Wang, Qiang, Zhang, Xiaodi, Shen, Dan
• Granted Patent: US 8,176,032 B2
• Time in Patent Office: Days
• US Class Current: 707/771
• CPC Class Codes: G06F 16/3323 using document space presentation or visualization, e.g. category, hierarchy or range presentation and selection
• CPC Class Codes: G06F 16/3334 Selection or weighting of terms from queries, including natural language queries
• CPC Class Codes: G06F 16/358 Browsing; Visualisation therefor
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

Systems and methods are disclosed to automatically publish data items associated with a news event. In one example embodiment, a method comprises monitoring search queries associated with a search query category, detecting a change in a search request frequency associated with the search query category with respect to a baseline frequency, determining an event associated with the search query category, identifying one or more data items associated with the event, and generating a visual representation of a relationship between the one or more data items and the event. The search query category may be associated with at least one search term a baseline frequency.

Claims

1. A computer-implemented method using one or more processors, the method comprising:

monitoring search queries associated with a search query category, the search query category associated with at least one search term and associated with a baseline frequency, the baseline frequency reflecting an average number of search queries detected during a time interval associated with the search query category;

detecting a change in a search request frequency associated with the search query category with respect to the baseline frequency;

determining an event associated with the search query category;

identifying one or more data items associated with the event; and

generating a visual representation of a relationship between the one or more data items and the event.

2. The computer-implemented method of claim 1, wherein detecting the change in the search request frequency associated with the search query category comprises:

comparing the search request frequency associated with the search query category with the baseline frequency associated with the search query category.

3. The computer-implemented method of claim 1, further comprising storing a record of the search query category, the event, and the one or more data items in a database.

4. The computer-implemented method of claim 1, further comprising grouping related search terms and associating the related search terms with the search query category.

5. The computer-implemented method of claim 1, further comprising:

associating a score value with the search query category based on the change in the search request frequency associated with the search query category;

assigning a rank to the search query category based the associated score value; and

identifying the search query category, based on the rank of the search query category, as reflecting heightened user interest.

6. The computer-implemented method of claim 5 wherein associating the score value associated with the search query category is based on an absolute frequency associated with the search query category, wherein the absolute frequency is the number of search queries detected during the time interval associated with the search query category.

7. The computer-implemented method of claim 1, wherein determining of an event associated with the search query category comprises:

querying an event database with one or more search terms from the search query category; and

receiving an identification of the event.

8. The computer-implemented method of claim 1, wherein the identifying of the one or more data items associated with the event comprises:

querying an item database with one or more search terms from the search query category; and

receiving an identification of the one or more data items.

9. The computer-implemented method of claim 1, wherein generating the visual representation of the relationship between the data items and the event comprises creating a web page depicting one or more data items wherein, when the web page is displayed, the one or more data items appear visually related to the event.

10. The computer-implemented method of claim 1, wherein the one or more data items are one or more item listings.

12. The system of claim 1, wherein the query monitoring module is further to:

compare the search request frequency associated with the search query category with the baseline frequency associated with the search query category.

11. A system comprising:

a query monitoring module to;

monitor search queries associated with a search query category, the search query category associated with at least one search term and associated with a baseline frequency, the baseline frequency reflecting an average number of search queries detected during a time interval associated with the search query category, and

detect a change in a search request frequency associated with the search query category with respect to the baseline frequency;

an event detecting module to determine an event associated with the search query category;

an item identifying module to identify one or more data items associated with the event; and

a display generation module to generate a visual representation of a relationship between the one or more data items and the event.

13. The system of claim 11, wherein the display generation module is to store data associated with the search query category, the event, and the one or more data items in a database.

14. The system of claim 11, wherein the query monitoring module is further to group search terms and associate the grouped search terms with the search query category.

15. The system of claim 11, wherein the query monitoring module is further to:

associate a score value with the search query category based on the change in the search request frequency associated with the search query category;

assign a rank to the search query category based the associated score value; and

identify the search query category as reflecting heightened user interest, based on the rank of the search query category.

16. The system of claim 11, wherein the event detecting module is to:

query an event database with one or more search terms from the search query category; and

receive an identification of the event.

17. The system of claim 11, wherein the item identifying module is to:

query an item database with one or more search terms from the search query category;

receive an identification of the one or more data items.

18. The system of claim 11, wherein the display generation module is to create a web page depicting one or more data items wherein, when the web page is displayed, the one or more data items appear visually related to the event.

19. The system of claim 11, wherein the one or more data items are one or more item listings.

20. A machine-readable medium embodying instructions that, when executed by a machine, cause the machine to perform operations comprising:

monitoring search queries associated with a search query category, the search query category associated with at least one search term and associated with a baseline frequency, the baseline frequency reflecting an average number of search queries detected during a time interval associated with the search query category;

detecting a change in a search request frequency associated with the search query category with respect to the baseline frequency;

determining an event associated with the search query category;

identifying one or more data items associated with the event; and

generating a visual representation of a relationship between the one or more data items and the event.