PRELOADING CONTENT BASED ON NETWORK CONNECTION BEHAVIOR

• US 20150207691A1
• Filed: 03/08/2013
• Published: 07/23/2015
• Est. Priority Date: 03/08/2013
• Status: Abandoned Application

• Current Assignee: Google Inc. (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: PRICE, Thomas Graham
• Application Number:
  US13/791,794
• Publication Number:
  US 20150207691A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 67/5681 Pre-fetching or pre-delivering data based on network characteristics

Abstract

Methods for preloading content based on user content browsing behavior and network connectivity behavior are provided. In one aspect, a method includes receiving an indication of predicted content to be requested by a user of a mobile device, and determining network connectivity behavior for a local area network connection of the mobile device. The method also includes identifying at least a subset of the predicted content to load to the mobile device based on the network connectivity behavior of the local area network connection of the mobile device, and loading the subset of the predicted content while the mobile device is connected to the local area network. Systems and machine-readable media are also provided.

Claims

1. A computer-implemented method for preloading content based on user content browsing behavior and network connectivity behavior, the method comprising:

receiving an indication of predicted content to be requested by a user of a mobile device;

determining network connectivity behavior for a local area network connection of the mobile device;

identifying at least a subset of the predicted content to load to the mobile device based on the network connectivity behavior of the local area network connection of the mobile device; and

loading the subset of the predicted content while the mobile device is connected to the local area network.

2. The computer-implemented method of claim 1, wherein the indication of the predicted content comprises addresses for a location of the predicted content.

3. The computer-implemented method of claim 2, wherein the indication of the predicted content further comprises a probability of loading value associated with each address.

4. The computer-implemented method of claim 1, wherein the indication is based on a content browsing history of the user.

5. The computer-implemented method of claim 1, wherein determining the network connectivity behavior for the local area network connection comprises determining at least a time of day and duration of when the mobile device has previously connected to the local area network.

6. The computer-implemented method of claim 5, wherein identifying the subset of the predicted content to load to the mobile device based on the network connectivity behavior of the local area network connection of the mobile device comprises selecting the subset of the predicted content to load to the mobile device based on the duration of when the mobile device has previously connected to the local area network.

7. The computer-implemented method of claim 1, wherein the local area network connection comprises at least one of a Wi-Fi connection or a wired network connection.

8. The computer-implemented method of claim 1, wherein the subset of the predicted content comprises at least one of a web page, a video file, or an audio file.

9. The computer-implemented method of claim 1, wherein the subset of the predicted content excludes content designated by the user.

10. The computer-implemented method of claim 1, the method further comprising:

receiving a request from the user to load the subset of the predicted content;

determining whether the subset of the predicted content has been superseded by current content;

when the determination indicates the subset of the predicted content has been superseded, providing the current content for display; and

when the determination indicates the subset of the predicted content has not been superseded, providing the subset of the predicted content for display.

11. The computer-implemented method of claim 10,

wherein determining whether the subset of the predicted content has been superseded by current content comprises comparing a first hash value associated with the subset of the predicted content with a second hash value associated with the current content to determine whether the first hash value and the second hash value match,

wherein when the first hash value and the second hash value do not match, the determination indicates the subset of the predicted content has been superseded, and

wherein when the first hash value and the second hash value match, the determination indicates the subset of the predicted content has not been superseded.

12. A system for preloading content based on user content browsing behavior and network connectivity behavior, the system comprising:

a memory comprising instructions; and

a processor configured to execute the instructions to;

receive an indication of predicted content to be requested by a user of a mobile device based on a content browsing history of the user;

determine network connectivity behavior comprising at least a time of day and duration of when the mobile device has previously connected using a local area network connection of the mobile device;

identify at least a subset of the predicted content to load to the mobile device based on the network connectivity behavior of the local area network connection of the mobile device; and

load the subset of the predicted content while the mobile device is connected to the local area network.

13. The system of claim 12, wherein the indication of the predicted content comprises addresses for a location of the predicted content and a probability of loading value associated with each address.

14. The system of claim 12, wherein identifying the subset of the predicted content to load to the mobile device based on the network connectivity behavior of the local area network connection of the mobile device comprises selecting the subset of the predicted content to load to the mobile device based on the duration of when the mobile device has previously connected to the local area network.

15. The system of claim 12, wherein the local area network connection comprises at least one of a Wi-Fi connection or a wired network connection.

16. The system of claim 12, wherein the subset of the predicted content comprises at least one of a web page, a video file, or an audio file.

17. The system of claim 12, wherein the subset of the predicted content excludes content designated by the user.

18. The system of claim 12, wherein the processor is further configured to:

receive a request from the user to load the subset of the predicted content;

determine whether the subset of the predicted content has been superseded by current content;

when the determination indicates the subset of the predicted content has been superseded, provide the current content for display; and

when the determination indicates the subset of the predicted content has not been superseded, provide the subset of the predicted content for display.

19. The system of claim 18,

wherein the processor being configured to determine whether the subset of the predicted content has been superseded by current content comprises the processor being configured to compare a first hash value associated with the subset of the predicted content with a second hash value associated with the current content to determine whether the first hash value and the second hash value match,

wherein when the first hash value and the second hash value do not match, the determination indicates the subset of the predicted content has been superseded, and

wherein when the first hash value and the second hash value match, the determination indicates the subset of the predicted content has not been superseded.

20. A machine-readable storage medium comprising machine-readable instructions for causing a processor to execute a method for preloading content based on user content browsing behavior and network connectivity behavior, comprising:

receiving an indication of predicted content to be requested by a user of a mobile device based on a content browsing history of the user, the predicted content comprising addresses of the predicted content and a probability of loading the predicted content;

determining network connectivity behavior comprising at least a time of day and duration of when the mobile device has previously connected using a local area network connection of the mobile device;

identifying at least a subset of the predicted content to load to the mobile device based on the network connectivity behavior of the local area network connection of the mobile device; and

loading the subset of the predicted content while the mobile device is connected to the local area network.