PLATFORM FOR RENDERING CONTENT FOR A REMOTE DEVICE

• US 20080155396A1
• Filed: 09/29/2006
• Published: 06/26/2008
• Est. Priority Date: 09/29/2006
• Status: Active Grant

• Current Assignee: Verizon Media, Inc. (Verizon Communications Inc.), Yahoo Assets LLC
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Yang, Guang, Liang, James, Rayam, Surendra Sadanand, Park, Jaekwon, Tei, Takayuki, Marlow, Keith Anthony, Sui, Ming, Khan, Abdul Rasel, Choi, Nigel, Li, Chen, Jiang, Zhaowei Charlie, Temkin, Michael Jeremy, Dubinko, Micah, Leung, Jeff, Guo, Hui, Gavrylyako, Olga Volodymyrivna
• Granted Patent: US 10,452,756 B2
• Time in Patent Office: Days
• US Class Current: 715/251
• CPC Class Codes: G06F 16/9577 Optimising the visualization of content, e.g. distillation of HTML documents
• 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]

Abstract

A platform for customized rendering of markup language (ML) documents into a document in a device specific language that is subsequently provided for display by a target remote device. A rendering context for the target remote device and an ML document is received by the platform, which performs processes that can paginate and fully render pages that are subsequently delivered for display by the target remote device. A post-rendering process may also be provided to perform additional processing of media items for the device specific language document. This additional processing may include including links to or embedding media items in pages of the device specific language document. The remote device can be arranged as a client device that provides for wired and/or wireless communication over a network.

Claims

1. A method for rendering a markup language (ML) document for display by a remote device, comprising:

receiving the ML document;

receiving a rendering context native to the remote device, wherein the rendering context includes information that enables rendering of the ML document for subsequent display by the remote device;

employing the rendering context to enable pagination of the ML document, wherein a size of each page in the rendered ML document is paginated to be no greater than an effective size for display by the remote device;

employing the rendering context to enable at least one process to fully render the ML document into a document in a device specific language; and

enabling the device specific language document to be provided to the remote device.

2. The method of claim 1, further comprising:

embedding a media item in the device specific language document;

or

including a link to the media item in the device specific language document.

3. The method of claim 1, further comprising:

determining each of a plurality of processes to be performed to fully render the ML document;

building a pipeline of each determined process that in total enable a full rendering of the ML document; and

arranging the ML document into a tree, wherein the rendering context and the pipeline of processes are employed to resolve the tree into a full rendering of the ML document into the device specific language document.

4. The method of claim 1, further comprising assembling the received ML document, wherein the assembling includes at least one of adding a unit to a module, filling in a blank, adding a header, or adding a footer.

5. The method of claim 1, wherein enabling the device specific language document to be provided to the remote device, further comprises serializing the device specific language document into a character string.

6. The method of claim 1, further comprising:

creating a temporary Markup Language (ML) ID for each unique string that is currently unassociated with an existing ML ID;

generating a temporary index of each temporary ML ID and each existing ML ID;

employing the temporary index with at least one of a plurality of processes to render each unique string in the ML document; and

removing the temporary index and each temporary ML ID from the device specific language document before it is provided to the remote device.

7. The method of claim 1, wherein the Markup Language is a mobile Markup Language that provides for an intent of an author for displaying content in the ML document on the remote device, and wherein the actual arrangement of content rendered for display by the remote device is based at least in part on the rendering context.

8. The method of claim 1, wherein the rendering of the ML document includes at least one of a plurality of processes, including:

determining if location information regarding the remote device can be provided in response to a request;

minifying cascading style sheets (CSS) by removing extraneous sheets;

fontifying cascading style sheets by stripping them out and rewriting as ML code;

shrinking the ML document to remove any ML code that is extraneous to the remote device;

specifying one or more attributes of each media item to included with the rendered ML document;

employing an estimate of each page size to repaginate the ML document'"'"'s pages to a size that is no more than an effective size for the remote device;

tailoring ML code in a page of the ML document that is estimated to be rendered as larger than the effective size for the remote device;

rewriting a URL to include a location of a media item;

or

rewriting a URL to include session identification information.

9. The method of claim 1, wherein the remote device provides for at least one of wired or wireless communication over a network.

10. A system for rendering a Markup Language (ML) document for display, comprising:

a remote device that is adapted for displaying the rendered ML document; and

a platform that is arranged to perform actions, including;

receiving the ML document and a rendering context from another resource, wherein the rendering context includes information that enables rendering of the ML document for subsequent display by the remote device;

employing the rendering context to paginate the ML document, wherein a size of each page in the rendered ML document is paginated to be no greater than an effective size for display by the remote device;

employing the rendering context to enable at least one process to fully render the ML document into a document in a device specific language; and

providing the device specific language document over a network for display by the remote device.

11. The system of claim 10, wherein the platform performs at least one of further actions, comprising:

embedding a media item in the device specific language document;

or

including a link to the media item in the device specific language document.

12. The system of claim 10, wherein the platform performs at least one of further actions, comprising:

determining each of a plurality of processes to be performed to fully render the ML document into the device specific language document;

building a pipeline of each determined process that in total enable a full rendering of the ML document into the device specific language document; and

arranging the ML document into a tree, wherein the rendering context and the pipeline of processes are employed to resolve the tree into the device specific language document.

13. The system of claim 10, wherein the platform performs further actions, comprising assembling the received ML document, wherein the assembling includes at least one of adding a unit to a module, filling in a blank, adding a header, or adding a footer.

14. The system of claim 10, wherein enabling the device specific language document to be provided to the remote device, further comprises serializing the device specific language document into a character string.

15. The system of claim 10, wherein the platform performs at least one of further actions, comprising:

creating a temporary Markup Language (ML) ID for each unique string that is currently unassociated with an existing ML ID;

generating a temporary index of each temporary ML ID and each existing ML ID;

employing the temporary index with at least one of a plurality of processes to render each unique string in the ML document; and

removing the temporary index and each temporary ML ID from the device specific language document before it is provided to the remote device.

16. The system of claim 10, wherein the Markup Language is a mobile Markup Language that provides for an intent of an author for displaying content in the ML document on the remote device, and wherein an actual arrangement of content for display by the remote device is based at least in part on the rendering context.

17. The system of claim 10, wherein the rendering of the ML document includes performing at least one of a plurality of processes, including:

determining if location information regarding the remote device can be provided in response to a request;

minifying cascading style sheets (CSS) by removing extraneous sheets;

fontifying cascading style sheets by stripping them out and rewriting as ML code;

shrinking the ML document to remove any ML code that is extraneous to the remote device;

specifying one or more attributes of each media item to included with the rendered ML document;

employing an estimate of each page size to repaginate the ML document'"'"'s pages to a size that is no more than an effective size for the remote device;

tailoring ML code in a page of the ML document that is estimated to be rendered as larger than the effective size for the remote device;

rewriting a URL to include a location of a media item;

or

rewriting a URL to include session identification information.

18. The system of claim 10, wherein the remote device provides for at least one of wired or wireless communication over the network.

19. A processor readable media that includes a plurality of components that enable actions for rendering a markup language (ML) document to be displayed by a remote device, comprising:

a first component for receiving the ML document;

a second component receiving a rendering context native to the remote device, wherein the rendering context includes information that enables rendering of the ML document into a document in a device specific language for subsequent display by the remote device;

a third component for employing the rendering context to enable pagination of the ML document, wherein a size of each page in the device specific language is paginated to be no greater than an effective size for display by the remote device;

a fourth component for employing the rendering context to enable at least one process to fully render the ML document into the device specific language document; and

a fifth component for enabling the device specific language document to be provided to the remote device.

20. A server that enables rendering of a markup language (ML) document for display by a remote device, comprising:

a memory for storing data; and

a processor for enabling actions, including;

receiving the ML document;

receiving a rendering context native to the remote device, wherein the rendering context includes information that enables rendering of the ML document into a document in a device specific language for subsequent display by the remote device;

employing the rendering context to enable pagination of the ML document, wherein a size of each page in the device specific language document is paginated to be no greater than an effective size for display by the remote device;

employing the rendering context to enable at least one process to fully render the ML document into the device specific language document; and

enabling the device specific language document to be provided to the remote device.