METHOD AND SYSTEM FOR DESKTOP TAGGING OF A WEB PAGE

• US 20080288476A1
• Filed: 05/12/2008
• Published: 11/20/2008
• Est. Priority Date: 05/17/2007
• Status: Active Grant

• Current Assignee: Blackberry Limited
• Original Assignee: Blackberry Limited
• Inventors: Kim, Sang-Heun, Stinson, Charles Laurence
• Granted Patent: US 8,572,105 B2
• Time in Patent Office: Days
• US Class Current: 707/4
• CPC Class Codes: G06F 16/9577 Optimising the visualization of content, e.g. distillation of HTML documents
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A system and method are provided for identifying and extracting a subset of data from a selected web page of a web site for display on a client machine. One or more instructions are applied to the selected web page for identifying and displaying a candidate subset of data on the client machine (i.e. a wireless mobile device). The instructions are applied in accordance with one or more pre-defined criteria defining one or more types of the subset of data, and one or more pre-defined confidence intervals defining a pattern for locating the subset of data in accordance with said one or more types on the selected web page. An interface may further be provided to allow the amendment or confirmation of the candidate subset of data.

Claims

1. A method of identifying a subset of data from a selected web page of a web site for display on a client machine, the method comprising:

applying one or more instructions to the selected web page for identifying and displaying a candidate subset of data on the client machine, the instructions applied in accordance with one or more pre-defined criteria defining one or more types of the subset of data, and one or more pre-defined confidence intervals defining a pattern for locating the subset of data in accordance with said one or more types on the selected web page.

2. The method of claim 1, further comprising:

providing an interface to confirm or amend the candidate subset of data, wherein the candidate subset of data comprises at least one type of the subset of data and at least one value corresponding to each type for an item on the web page.

3. The method of claim 2, further comprising:

storing the candidate subset of data as confirmed or amended to define a rich bookmark, the rich bookmark comprising an address of the web page and the stored candidate subset of data for subsequent retrieval and display.

4. The method of claim 2, further comprising:

receiving a response via the interface amending the candidate subset of data; and

in accordance with the response, updating at least one of;

the pre-defined confidence intervals or the pre-defined criteria.

5. The method of claim 4, further comprising updating the pre-defined confidence intervals in response to receiving at least a pre-determined number of amendments to the candidate subset of data having a same type.

6. The method of claim 2 wherein the client machine is a wireless mobile device requesting the selected web page, and the interface is presented on the wireless mobile device to allow the amending or confirming of the candidate subset of data, the amending or confirming defining the subsequent display of the candidate subset of data when requesting another web page.

7. The method of claim 6 wherein the web site comprises an e-commerce web site and wherein identifying the candidate subset of data comprises identifying at least one e-commerce item for purchase from at least some of the web pages of the web site to conduct an e-commerce transaction on the wireless mobile device.

8. The method of claim 1, wherein each of the pre-defined confidence intervals is based on information selected from the group consisting of:

an estimated size, estimated relative location on the web page, estimated style, and estimated identifier associated with each type of the subset of data.

9. The method of claim 1, wherein identifying the candidate subset of data further comprises:

determining a plurality of probable candidate data matching the pre-defined criteria and at least one of the pre-defined confidence intervals;

defining a weight for each of the pre-defined confidence intervals to define a relative importance thereof; and

ranking the plurality of probable candidate data based upon the weight to determine at least one candidate data from the plurality of probable candidate data.

10. The method of claim 1, wherein the pre-defined criteria are provided in accordance with a genre of said web site, said genre selected from the group of genres consisting of:

e-commerce, news, sports, and weather.

11. The method of claim 1, wherein the one or more types of the subset of data is selected from the group consisting of:

an image, a description, a price, a title, and text data for characterizing the subset of data.

12. A system for identifying a subset of data from a selected web page of a web site for display on a client machine, the system comprising:

at least one computing device comprising a processor and a memory coupled thereto, said memory storing one or more instructions and data for configuring the processor to;

apply one or more identification instructions to the selected web page for identifying and displaying of a candidate subset of data on the client machine, the identification instructions applied in accordance with one or more pre-defined criteria defining one or more types of the subset of data, and one or more pre-defined confidence intervals defining a pattern for locating the subset of data in accordance with said one or more types on the selected web page.

13. The system of claim 12, wherein the instructions and data configure the processor to:

define an interface having one or more options to confirm or amend the candidate subset of data, wherein the candidate subset of data comprises at least one type of subset of data and at least one value corresponding to each type for an item on the web page.

14. The system of claim 13, wherein the instructions further configure the processor to:

store the candidate subset of data as confirmed or amended to define a rich bookmark, the rich bookmark comprising an address of the web page and the stored candidate subset of data for subsequent retrieval and display.

15. The system of claim 13, further wherein the interface receives a response amending the candidate subset of data;

and the instructions and data further configure the processor to;

in accordance with the response, update at least one of;

the pre-defined confidence intervals or the pre-defined criteria.

16. The system of claim 13, wherein the instructions and data configure the processor to update the pre-defined confidence intervals in response to receiving at least a pre-determined number of amendments to the candidate subset of data having a same type.

17. The system of claim 13 comprising a wireless mobile device configured as a one of said at least one computing device for requesting the selected web page, and the instructions and data configuring the processor to present the interface on the wireless mobile device to allow the amending or confirming of the candidate subset of data, the amending or confirming defining the subsequent display of the candidate subset of data when requesting another web page.

18. The system of claim 17 wherein the web site comprises an e-commerce web site and wherein identifying the candidate subset of data comprises identifying at least one e-commerce item for purchase from at least some of the web pages of the web site to conduct an e-commerce transaction on the wireless mobile device.

19. The system of claim 12, wherein each of the pre-defined confidence intervals is based on information selected from the group consisting of:

an estimated size, estimated relative location on the web page, estimated style, and estimated identifier associated with each type of the subset of data.

20. The system of claim 12, wherein when identifying the candidate subset of data, the instructions and data further configure the processor to:

determine a plurality of probable candidate data matching the pre-defined criteria and at least one of the confidence intervals;

define a weight for each of the pre-defined confidence intervals to define a relative importance thereof; and

rank the plurality of probable candidate data based upon the weight to determine at least one candidate data from the plurality of probable candidate data.

21. The system of claim 12, wherein the pre-defined criteria are defined in accordance with a genre of said web site, said genre selected from the group of genres consisting of:

e-commerce, news, sports, and weather.

22. The system of claim 12, wherein the one or more types of the subset of data is selected from the group consisting of:

an image, a description, a price, a title, and text data for characterizing the subset of data.

23. A computer program product storing one or more computer readable instructions for identifying a subset of data from a selected web page of a web site for display on a client machine, which instructions when executed by a computer processor configure the processor for:

applying one or more identification instructions to the selected web page for identifying and displaying a candidate subset of data on the client machine, the instructions applied in accordance with one or more pre-defined criteria defining one or more types of the subset of data, and one or more pre-defined confidence intervals defining a pattern for locating the subset of data in accordance with said one or more types on the selected web page.

24. A method for identifying a subset of data from web pages of an e-commerce web site for conducting a transaction, the method comprising:

applying one or more instructions to a selected web page from the web site for identifying and displaying a candidate subset of data on the client machine, the instructions applied in accordance with one or more pre-defined criteria defining one or more types of the subset of data suitable for conducting the transaction, and one or more pre-defined confidence intervals defining a pattern for locating the subset of data in accordance with said one or more types on the selected web page.

25. A method of identifying a subset of data from a selected web page of a web site for display on a client machine, the method comprising:

maintaining one or more pre-defined criteria defining one or more types of the subset of data;

maintaining one or more pre-defined confidence intervals defining a pattern for locating the subset of data in accordance with said one or more types on the selected web page; and

applying one or more instructions to the selected web page in accordance with the pre-defined confidence intervals and the pre-defined criteria for identifying a candidate subset of data and presenting same to a client machine.

26. The method of claim 25 further comprising:

receiving a response from the client machine amending the candidate subset of data, wherein the candidate subset of data comprises at least one type of the subset of data and at least one value corresponding to each type for an item on the web page; and

amending at least one of the pre-defined confidence intervals or the pre-defined criteria in dependence upon the received response.

27. The method of claim 25, wherein identifying the candidate subset of data further comprises:

determining a plurality of probable candidate data matching the pre-defined criteria and at least one of the confidence intervals;

defining a weight for each of the pre-defined confidence intervals to define a relative importance thereof; and

ranking the plurality of probable candidate data based upon the weight to determine at least one candidate data from the plurality of probable candidate data and present same to the client machine.

28. The method of claim 26, further comprising amending the pre-defined confidence intervals in response to receiving at least a pre-determined number of amendments from the client machine to the candidate subset of data having a same type.