Characterization of layered documents in HTML5 publishing

• US 9,489,355 B2
• Filed: 07/05/2012
• Issued: 11/08/2016
• Est. Priority Date: 07/05/2012
• Status: Active Grant

• Current Assignee: Chegg Incorporated
• Original Assignee: Chegg Incorporated
• Inventors: Le Chevalier, Vincent, Geiger, Charles F., Wetter, Pierce Trowbridge III, Joshi, Ashit, Eder-Pressman, Ohad, Tworetzky, Brent S., Eckenberg, Dax, Desai, Rahul Ravindra Mutalik
• Primary Examiner(s): Nguyen, Maikhanh
• Application Number:
  US13/542,249
• Publication Number:
  US 20140012685A1
• Time in Patent Office: 1,587 Days
• Field of Search: 715/234, 715/201
• US Class Current: 1/1
• CPC Class Codes: G06F 40/114 Pagination
• CPC Class Codes: G06F 40/143 Markup, e.g. Standard Generalized Markup Language [SGML] or Document Type Definition [DTD]
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

An education digital reading platform provides pages of a document requested by a user, the pages including additional content layers associated with the requested content. The additional content layers including related content, user generated content, advertisement content and other services content offered by the digital reading platform. The requested content and additional content layers require processing capability on a web browser application. The amount of data associated with a page of a document may vary dramatically especially considering the additional layers of content associated with the pages. In order to permit the web browser application anticipate the processing needs associated with each page, the digital reading platform provides markers indicating a difference in processing requirements associated between two pages of a document. The markers enable the web browser request additional resources to provide a seamless user experience or enable the web browser application to request additional or fewer content layers.

Claims

1. A computer-implemented method of providing characterizations of content layers associated with a markup language document, the method comprising:

accessing deconstructed data for the markup language document, the deconstructed data comprising data structure and page information of the markup language document;

creating page markers for each of a plurality of pages of the markup language document based on the data structure and page information, the page markers of a respective page characterizing a complexity of the page information that represents memory or processing resources to display the page;

generating based on the page markers, a plurality of delta markers indicating differences between the complexities of successive pages of the markup language document;

providing the delta markers to a web browser application requesting a first page of the markup language document, the delta markers enabling the web browser application to manage resources for displaying a second page successive to the first page based on the difference between the complexity of the first page and the complexity of the second page;

receiving an identification of content related one or more pages of the markup language document;

identifying data structure and page information associated with the related content; and

creating related content markers for the one or more pages of the markup language document based on the data structure and page information of the related content, the markers characterizing the complexity of the related content in terms of resources to display the related content;

wherein the delta markers are further generated based on the related content markers and further indicate differences between the complexities of the related content associated with successive pages of the markup language document.

2. The method of claim 1, wherein the data structure and page information comprises at least one of text, font and image information associated with pages of the markup language document.

3. The method of claim 1, wherein the related content comprises at least one of documents, webpages, images and videos associated with content in the one or more pages of the markup language document.

4. The method of claim 1, further comprising:

receiving user generated content associated with one or more pages of the markup language document, the user generated content created by a user of the markup language document and including data structure and page information associated with the user generated content; and

creating user generated content markers for the one or more pages of the markup language document based on the data structure and page information of the user generated content, the user generated content marker characterizing the complexity of the user generated content in terms of resources to display the user generated content;

wherein the delta markers are further generated based on the user generated content markers and further indicate differences between the complexities of the user generated content associated with successive pages of the markup language document.

5. The method of claim 4, wherein the user generated content comprises at least one of notes, highlights and underlines made by users on the one or more pages of the markup language document.

6. The method of claim 1, further comprising:

receiving advertisement content associated with one or more pages of the markup language document, the advertisement content to be displayed within the one or more pages of the markup language document and including content structure and page information associated with the advertisement content; and

creating advertisement content markers for the one or more pages of the markup language document based on the content structure and page information of the received advertisement content, the advertisement content markers characterizing the complexity of the advertisement content in terms of resources to display the advertisement content;

wherein the delta markers are further generated based on the advertisement content markers and further indicate differences between the complexities of the advertisement content associated with successive pages of the markup language document.

7. The method of claim 6, wherein the advertisement content comprises targeted advertisements received from an ad manifest, the ad manifest providing advertisements to be served within the one or more pages of the markup language document.

8. The method of claim 1, further comprising creating system reserved markers based on services that can be provided on a page of the document, the system reserved markers characterizing the complexity of service content that can be displayed with the markup language document, the service content providing at least one of interactive or social networking capabilities.

9. The method of claim 1, wherein each page of the markup language document is associated with one or more layers of content, the method further comprising:

receiving performance feedback data characterizing an amount of processing power available to the web browser application; and

selecting based on the delta markers, one or more content layers associated with the first page of the document to send to the web browser application responsive to receiving the performance feedback data.

10. The method of claim 1, wherein the markup language document comprises an HTML5 document.

11. The method of claim 1, wherein the data structure and page information reconstruct the markup language page document with page fidelity to an original source document.

12. A non-transitory computer-readable storage medium storing executable computer program instructions for providing characterizations of content layers associated with a markup language document, the computer program instructions comprising instructions for:

accessing deconstructed data for the markup language document, the deconstructed data comprising data structure and page information of the markup language document;

creating page markers for each of a plurality of pages of the markup language document based on the data structure and page information, the page markers of a respective page characterizing a complexity of the page information that represents memory or processing resources to display the page;

generating based on the page markers, a plurality of delta markers indicating differences between the complexities of successive pages of the markup language document;

providing the delta markers to a web browser application requesting a first page of the markup language document, the delta markers enabling the web browser application to manage resources for displaying a second page successive to the first page based on the difference between the complexity of the first page and the complexity of the second page;

receiving an identification of content related one or more pages of the markup language document;

identifying data structure and page information associated with the related content; and

creating related content markers for the one or more pages of the markup language document based on the data structure and page information of the related content, the markers characterizing the complexity of the related content in terms of resources to display the related content;

wherein the delta markers are further generated based on the related content markers and further indicate differences between the complexities of the related content associated with successive pages of the markup language document.

13. The non-transitory computer-readable medium of claim 12, wherein the data structure and page information comprises at least one of text, font and image information associated with pages of the markup language document.

14. The non-transitory computer-readable medium of claim 12, wherein the related content comprises at least one of documents, webpages, images and videos associated with content in the one or more pages of the markup language document.

15. The non-transitory computer-readable medium of claim 12, further comprising instructions for:

receiving user generated content associated with one or more pages of the markup language document, the user generated content created by a user of the markup language document and including data structure and page information associated with the user generated content; and

creating user generated content markers for the one or more pages of the markup language document based on the data structure and page information of the user generated content, the user generated content marker characterizing the complexity of the user generated content in terms of resources to display the user generated content;

wherein the delta markers are further generated based on the user generated content markers and further indicate differences between the complexities of the user generated content associated with successive pages of the markup language document.

16. The non-transitory computer-readable medium of claim 15, wherein the user generated content comprises at least one of notes, highlights and underlines made by users on the one or more pages of the markup language document.

17. The non-transitory computer-readable medium of claim 12, further comprising instructions for:

receiving advertisement content associated with one or more pages of the markup language document, the advertisement content to be displayed within the one or more pages of the markup language document and including content structure and page information associated with the advertisement content; and

creating advertisement content markers for the one or more pages of the markup language document based on the content structure and page information of the received advertisement content, the advertisement content markers characterizing the complexity of the advertisement content in terms of resources to display the advertisement content;

wherein the delta markers are further generated based on the advertisement content markers and further indicate differences between the complexities of the advertisement content associated with successive pages of the markup language document.

18. The non-transitory computer-readable medium of claim 17, wherein the advertisement content comprises targeted advertisements received from an ad manifest, the ad manifest providing advertisements to be served within the one or more pages of the markup language document.

19. The non-transitory computer-readable medium of claim 12, further comprising instructions for creating system reserved markers based on services that can be provided on a page of the document, the system reserved markers characterizing the complexity of service content that can be displayed with the markup language document, the service content providing at least one of interactive or social networking capabilities.

20. The non-transitory computer-readable medium of claim 12, wherein each page of the markup language document is associated with one or more layers of content, further comprising instructions for:

receiving performance feedback data characterizing an amount of processing power available to the web browser application; and

selecting based on the delta markers, one or more content layers associated with the first page of the document to send to the web browser application responsive to receiving the performance feedback data.

21. The non-transitory computer-readable medium of claim 12, wherein the markup language document comprises an HTML5 document.