Personalized web page

• US 7,099,870 B2
• Filed: 11/09/2001
• Issued: 08/29/2006
• Est. Priority Date: 11/09/2001
• Status: Expired due to Term

• Current Assignee: Academia Sinica (Government of The Republic of China)
• Original Assignee: Academia Sinica (Government of The Republic of China)
• Inventors: Chen, Yi-Shiou, Hsu, Wen-Lian
• Primary Examiner(s): Le, Uyen
• Assistant Examiner(s): SHECHTMAN, CHERYL MARIA
• Application Number:
  US10/045,616
• Publication Number:
  US 20030093427A1
• Time in Patent Office: 1,754 Days
• Field of Search: 707/1, 707/6, 707/10, 707/100, 707/200, 709/200, 709223-229, 715/501.1, 715/513, 715/517
• US Class Current: 1/1
• CPC Class Codes: G06F 16/957 Browsing optimisation, e.g. caching or content distillation

Abstract

Updating a personalized web page by identifying characteristic features and an information sample from an input, in which the input specifies a web site that provides the information sample. When an update is required by a user-specified frequency, corresponding contents of the web site are determined based on the characteristic features. If the corresponding contents are highly relevant to the information sample, the corresponding contents are extracted, and the personalized web page is updated with the corresponding contents.

Claims

1. A method comprising:

identifying characteristic features of a web site from an input that includes an identifier and an information sample, the input identifying the web site, the information sample being obtained from the web site during a first time period;

during a second time period after the first time period, determining relevancy of contents of the web site at the second time period to the information sample based on the identified characteristic features;

extracting at least a portion of the contents from the web site based on the relevancy of the portion of contents to the information sample; and

updating a personalized web page with the extracted contents.

2. The method of claim 1 further comprising repeating the determining relevancy, extracting, and updating at a frequency specified by the input.

3. The method of claim 2 further comprising:

requesting a verification after updating the personalized web page;

if the verification confirms the update, adding the contents into a training set; and

locating the contents of the web site based on the training set during the extracting and updating.

4. The method of claim 1 wherein identifying characteristic features include identifying a topic keyword.

5. The method of claim 1 wherein identifying the characteristic features include identifying a layout of the information sample.

6. The method of claim 1 wherein identifying the characteristic features includes identifying domain keywords in the information sample.

7. The method of claim 1 wherein identifying the characteristic features includes identifying semantic categories of keywords in the information sample.

8. The method of claim 1 wherein identifying the characteristic features includes identifying events in the input.

9. The method of claim 1, further comprising

assigning a score according to degree of the relevancy of the contents to the information sample;

and

requesting a different input if the score is below a pre-determined threshold.

10. The method of claim 1 in which identifying characteristic features of the web site comprises using a computer to automatically identify characteristic features of the web site.

11. The method of claim 10 in which the computer automatically identifies characteristic features of the information sample.

12. A system comprising:

a processor to;

identify characteristic features of a web site from an input that includes an identifier and an information sample, the input identifying, the information sample being obtained from the web site during a first time period;

during a second time period after the first time period, determine relevancy of contents of the web site at the second time period with the information sample based on the identified characteristic features;

extract at least a portion of the contents from the web site based on the relevancy of portion of the contents to the information sample; and

update a personalized web page with the extracted contents; and

a display to display the personalized web page.

13. The system of claim 12 wherein the processor is constructed and arranged to repeatedly determine relevancy, extract, and update at a frequency specified by the input.

14. The system of claim 12 wherein the processor is constructed and arranged to:

request a verification after updating the personalized web page;

if the verification confirms the update, adds the contents into a training set; and

locate the corresponding contents of the web site based on the training set during extracting and updating.

15. The system of claim 12 further comprising a topic database to allow the processor to identify a topic keyword as one of the characteristic features.

16. The system of claim 12 further comprising a layout analyzer to allow the processor to identify a layout as one of the characteristic features.

17. The system of claim 12 further comprising an online domain database to allow the processor to identify domain keywords as one of the characteristic features.

18. The system of claim 12 further comprising a semantic tree to allow the processor to identify semantic categories of keywords as part of the characteristic features.

19. The system of claim 12 further comprising an event database to allow the processor to identify events as some of the characteristic features.

20. The system of claim 12 wherein the processor is constructed and arranged to:

assign a score based on degree of the relevancy of the contents to the information sample; and

request a different input if the score is below a pre-determined threshold.

21. A computer program product residing on a computer readable medium comprising instructions for causing a computer to:

identify characteristic features of a web site from an input that includes an identifier and an information sample, the input identifying the web site, the information sample being obtained from the web site during a first time period;

during a second time period after the first time period, determining relevancy of contents of the web site at the second time period to the information sample based on the identified characteristic features;

extract at least a portion of the contents from the web site based on relevancy of the portion of contents to the information sample; and

update a personalized web page with the extracted contents.

22. The computer program product of claim 21 comprising instructions for causing the computer to repeatedly determine relevancy, identify and update at a frequency specified by the input.

23. The computer program product of claim 21 comprising instructions for causing the computer to:

request a verification after updating the personalized web page;

if the verification confirms the update, add the contents into a training set; and

locate the contents of the web site based on the training set when extracting the contents and updating the personalized web page.

24. The computer program product of claim 21 wherein the characteristic features include at least one of a topic keyword, a layout, domain keywords, semantic categories of keywords, and events.

25. The computer program product of claim 21 comprising instructions for causing the computer to:

assign a score based on degree of the relevancy of the contents to the information sample; and

request a different input if the score is below a pre-determined threshold.

26. The computer program product of claim 25 comprising instructions for causing the computer to:

compare a topic keyword and a layout of corresponding contents with those of the information sample to determine the degree of relevancy.

27. The computer program product of claim 25 comprising instructions for causing the computer to:

compare at least one of domain keywords, semantic categories of keywords, events, and a layout of the contents with those of the information sample to determine the degree of relevancy.