PRE-FETCHING GRID BLOCKS BY USER INTENT

• US 20150312375A1
• Filed: 04/25/2014
• Published: 10/29/2015
• Est. Priority Date: 04/25/2014
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Valey, Anthony A., Michaeli, Guy G., Janni, Daniel J., Brothers, Scott D.
• Application Number:
  US14/262,001
• Publication Number:
  US 20150312375A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06F 3/0485 Scrolling or panning
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

Disclosed herein are systems, methods, and software to enhance user experiences with online services and hosted content. In at least one implementation, an initial user interaction with a user interface to a local model of content is detected. The local model of the content comprises an initial portion of the content downloaded to the local model. A subsequent user interaction with the user interface to the local model of the content is predicted based at least in part on the initial user interaction. A subsequent portion of the content is then identified for downloading to the local model of the content in anticipation of the subsequent user interaction occurring. The subsequent portion is identified based at least in part on the subsequent user interaction.

Claims

1. A method for loading data in local models of hosted content comprising:

detecting an initial user interaction with a user interface to a local model of content comprising an initial portion of the content downloaded to the local model;

predicting a subsequent user interaction with the user interface to the local model of the content based at least in part on the initial user interaction;

identifying, based at least in part on what the subsequent user interaction was predicted to be, a subsequent portion of the content to download to the local model of the content in anticipation of the subsequent user interaction occurring.

2. The method of claim 1 wherein the user interface to the local model of the content comprises a content canvas, in which to surface the initial portion of the content and the subsequent portion of the content, and a navigation control for navigating the content canvas, wherein the subsequent user interaction comprises a selection of the navigation control and wherein the initial user interaction comprises a positioning interaction to position a pointer proximate to the navigation control.

3. The method of claim 2 wherein the positioning interaction comprises a movement of the pointer from an initial position over the content canvas to a subsequent position over the navigational control in preparation for selecting the navigational control.

4. The method of claim 3 wherein the navigational control comprises one of a scroll bar, a sheet tab, a notebook tab, a page bookmark, and a feature menu, and wherein the content comprises one of a spreadsheet document, a word processing document, a presentation document, and a note-taking document.

5. The method of claim 3 wherein the navigation control comprises a scroll bar having a plurality of directional elements for scrolling through the content in a plurality of directions, and wherein the selection of the navigational control comprises a selection of a one of the plurality of directional elements to scroll through the content in a one of the plurality of directions corresponding to the plurality of directional elements.

6. The method of claim 1 wherein predicting the subsequent user interaction with the user interface to the local model of the content based at least in part on the initial user interaction comprises:

identifying interaction rules for a plurality of users associated with the content, including a user associated with the initial user interaction, that express at least how potential initial user interactions relate to potential subsequent user interactions; and

identifying the subsequent user interaction based at least in part on how the initial user interaction relates to the potential subsequent user interactions.

7. The method of claim 6 wherein the method further comprises collecting telemetry data on past user interactions with the content by the plurality of users and updating the interaction rules based at least in part on an evaluation of the interaction rules in view of the telemetry data on the past user interactions.

8. The method of claim 7 wherein the content comprises a spreadsheet, wherein the spreadsheet comprises a plurality of data blocks, wherein each of the plurality of data blocks comprises a plurality of cells, and wherein the initial portion of the content comprises an initial data block of the plurality of data blocks and the subsequent portion of the content comprises a subsequent data block of the plurality of data blocks.

9. An apparatus comprising:

one or more computer readable storage media; and

program instructions stored on the one or more computer readable storage media that, when executed by a processing system, direct the processing system to at least;

detect an initial user interaction with a user interface to a local model of content, wherein the content is hosted by a content service and comprises a plurality of data blocks, and wherein the local model comprises an initial data block of the plurality of data blocks previously downloaded from the content service to the local model;

predict a subsequent user interaction with the user interface to the local model of the content based at least in part on the initial user interaction;

identify, based at least in part on what the subsequent user interaction was predicted to be, a subsequent data block of the plurality of data blocks to download to the local model of the content in anticipation of the subsequent user interaction occurring.

10. The one or more computer readable storage media of claim 9 wherein the user interface to the local model of the content comprises a content canvas, in which to surface at least the initial data block and the subsequent data block, and a navigation control for navigating the content canvas, wherein the subsequent user interaction comprises a selection of the navigation control and wherein the initial user interaction comprises a positioning interaction to position a pointer proximate to the navigation control.

11. The one or more computer readable storage media of claim 10 wherein the positioning interaction comprises a movement of the pointer from an initial position over the content canvas to a subsequent position over the navigational control in preparation for selecting the navigational control.

12. The one or more computer readable storage media of claim 11 wherein the navigational control comprises one of a scroll bar, a sheet tab, a notebook tab, a page bookmark, and a feature menu, and wherein the content comprises one of a spreadsheet document, a word processing document, a presentation document, and a note-taking document.

13. The one or more computer readable storage media of claim 11 wherein the navigation control comprises a scroll bar having a plurality of directional elements for scrolling through the content in a plurality of directions, and wherein the selection of the navigational control comprises a selection of a one of the plurality of directional elements to scroll through the content in a one of the plurality of directions corresponding to the plurality of directional elements.

14. The one or more computer readable storage media of claim 9, wherein, to predict the subsequent user interaction with the user interface to the local model of the content based at least in part on the initial user interaction, the program instructions direct the processing system to:

identify interaction rules for a plurality of users associated with the content, including a user associated with the initial user interaction, that express at least how potential initial user interactions relate to potential subsequent user interactions; and

identify the subsequent user interaction based at least in part on how the initial user interaction relates to the potential subsequent user interactions.

15. The one or more computer readable storage media of claim 14 wherein the program instructions further direct the processing system to collect telemetry data on past user interactions with the content by the plurality of users and update the interaction rules based at least in part on an evaluation of the interaction rules in view of the telemetry data on the past user interactions.

16. The one or more computer readable storage media of claim 15 further comprising the processing system that executes the program instructions and a user interface system that displays the user interface, wherein the content comprises a spreadsheet, wherein the spreadsheet comprises the plurality of data blocks, wherein each of the plurality of data blocks comprises a plurality of cells.

17. A method for loading data in local models of hosted content comprising:

in a content service, collecting telemetry data indicative of at least a plurality of past user interactions that occurred with respect to content associated with a plurality of users;

in the content service, updating interaction rules based at least in part on the telemetry data that govern at least in part which subsequent user interactions are predicted to occur in response to initial user interactions that actually occur with respect to the content; and

in the content service, communicating the interaction rules to a plurality of content applications associated with the plurality of users to apply against future user interactions.

18. The method of claim 17 further comprising:

in each of the plurality of content applications, detecting an initial user interaction with a user interface to a local model of the content comprising an initial portion of the content downloaded to the local model;

in each of the plurality of content applications, predicting a subsequent user interaction with the user interface to the local model of the content based at least in part on the initial user interaction and the interaction rules; and

in each of the plurality of content applications, identifying, based at least in part on what the subsequent user interaction was predicted to be, a subsequent portion of the content to download to the local model of the content in anticipation of the subsequent user interaction occurring.

19. The method of claim 18 wherein the user interface to the local model of the content comprises a content canvas in which to surface the initial portion of the content and the subsequent portion of the content, and a navigation control for navigating the content canvas, wherein the subsequent user interaction comprises a selection of the navigation control and wherein the initial user interaction comprises a positioning interaction to position a pointer proximate to the navigation control.

20. The method of claim 18 wherein the content comprises a spreadsheet, wherein the spreadsheet comprises a plurality of data blocks, wherein each of the plurality of data blocks comprises a plurality of cells, and wherein the initial portion of the content comprises an initial data block of the plurality of data blocks and the subsequent portion of the content comprises a subsequent data block of the plurality of data blocks.