Automated content update notification

• US 8,943,197 B1
• Filed: 08/16/2012
• Issued: 01/27/2015
• Est. Priority Date: 08/16/2012
• Status: Expired due to Fees

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Taylor, Brett R., Vaswani, Ameet N., Kassamali, Faizal S., Tucker, Ryan, Zampani, Michael V., Atreya, Ranganath
• Primary Examiner(s): Hussain, Tauqir
• Application Number:
  US13/587,867
• Time in Patent Office: 894 Days
• Field of Search: 709/224
• US Class Current: 709/224
• CPC Class Codes: G06F 16/957 Browsing optimisation, e.g. caching or content distillation
• CPC Class Codes: G06F 16/986 Document structures and storage, e.g. HTML extensions
• CPC Class Codes: G06F 40/143 Markup, e.g. Standard Generalized Markup Language [SGML] or Document Type Definition [DTD]

Abstract

Features are disclosed for detecting meaningful updates to network accessible content, including but not limited to web pages. The portion or portions of content that are meaningful can be automatically determined based on a previously defined content profile, an analysis of user interactions with the content, algorithms and automated content analysis techniques, some combination thereof, or other techniques. Content can be monitored and determinations can be made regarding whether and to what extent the content has changed. Client devices or users thereof may be notified of detected meaningful content updates. Notifications can include updated portions of the content. The updated content may be displayed to the user on a client device, and visual treatments may be applied to the updated portions to draw the users'"'"' attention to the presence and substance of the updates.

Claims

1. A system for detecting content changes, the system comprising:

one or more processors;

a computer-readable memory; and

a module comprising executable instructions stored in the computer-readable memory, said module configured to provide change notifications that are dependent upon assessed levels of importance of changed content portions of pages, wherein the one or more processors are programmed by the module to at least;

obtain a plurality of interaction records regarding user interactions with a content page, the content page comprising a plurality of content portions;

identify an important portion of the plurality of content portions and an unimportant portion of the plurality of content portions based at least in part on the plurality of interaction records, wherein the module is configured to treat content portions identified as important differently from content portions identified as unimportant in providing change notifications to users;

detect a change to the important portion based at least in part on a comparison of a current version of the content page and a previous version of the content page; and

in response to detecting the change;

determine an amount of the important portion that has changed; and

in response to determining that the amount exceeds a threshold, transmit a change notification regarding the change.

2. The system of claim 1, wherein identifying the important portion of the content page comprises analyzing scrolling and zooming actions performed on the content page by a plurality of users.

3. The system of claim 1, wherein the one or more processors are further configured to:

identify a second important portion of the plurality of portions based at least in part on the plurality of interaction records; and

detect a change to the second important portion based at least in part on the comparison.

4. The system of claim 1, wherein the comparison of the current version to the previous version comprises comparing at least a checksum or hash of the current version to at least a checksum or hash of the previous version.

5. The system of claim 1, wherein the change notification comprises a copy of the important portion of the current version of the content page.

6. The system of claim 5, wherein the copy comprises a visual modification to the copy of the important portion.

7. The system of claim 1, wherein the plurality of interaction records are specific to a particular user, such that the identification of the important portion is personalized for the user.

8. A computer-implemented method for detecting content changes, the computer-implemented method comprising:

obtaining a page profile associated with a content page hosted by a content server, the content page comprising a plurality of portions, wherein the page profile identifies a designated portion of the plurality of portions, said designated portion designated for monitoring of content updates, wherein at least some of the portions of the content page are not designated for monitoring of content updates, said designated portion designated for monitoring based on an automated determination that the designated portion is important to users relative to other portions of the content page;

detecting, by a content update detection system comprising one or more computing devices, a change to the designated portion based at least in part on a comparison of a current version of the content page and a previous version of the content page, wherein the content update detection system is separate from the content server and is configured to use the page profile to determine which portions of the page to monitor for updates; and

in response to detecting the change;

determining whether an amount of the designated portion that has changed exceeds a threshold; and

in response to determining the amount exceeds the threshold, transmitting a change notification regarding the change to a client computing device.

9. The computer-implemented method of claim 8, wherein the page profile identifies the designated portion with identification data comprising at least one of the following:

coordinates of the important portion;

a markup tag associated with the important portion, or an identifier associated with the important portion.

10. The computer-implemented method of claim 8 further comprising:

obtaining a plurality of interaction records regarding user interactions with the content page; and

determining the designated portion of the plurality of portions based at least in part on the plurality of interaction records.

11. The computer-implemented method of claim 10, wherein the user interactions include at least one of the following:

zooming a display on the portion of the plurality of portions, activating a link within the portion of the plurality of portions, or scrolling the display to the portion of the plurality of portions.

12. The computer-implemented method of claim 11, wherein the user interactions include interactions of a plurality of users, and the method comprises assessing, based on the user interactions of the plurality of users, which portions of the page are important.

13. The computer-implemented method of claim 8, further comprising generating the page profile, wherein generating the page profile comprises programmatically assessing importance levels of each of the plurality of portions of the content page based on user interactions with the content page, including zooming and scrolling interactions.

14. The computer-implemented method of claim 8, further comprising determining the designated portion based on user interactions of a particular user with the content page, such that the change notification is personalized for the user.

15. The computer-implemented method of claim 8, wherein the page profile further identifies a second designated portion of the plurality of portions, the computer-implemented method further comprising:

detecting a second change to the second designated portion based at least in part on the comparison; and

in response to detecting the second change;

determining whether an amount of the second designated portion that has changed exceeds a second threshold; and

transmitting a notification regarding the second change to the client computing device.

16. The computer-implemented method of claim 8, further comprising monitoring the content page for changes, wherein the monitoring comprises periodically retrieving a copy of the content page from the content server.

17. A system for detecting content changes, the system comprising:

one or more processors;

a computer-readable memory; and

a module comprising executable instructions stored in the computer-readable memory, said module configured to provide change notifications that are dependent upon assessed levels of importance of changed portions of content objects, wherein the one or more processors are programmed by the module to at least;

obtain profile data identifying a designated portion of a content object that comprises a plurality of portions, said designated portion designated for monitoring of content changes, said profile data also specifying an additional portion not to be monitored for content changes, said additional portion having an assessed importance level that is lower than an assessed importance level of the designated portion;

detect a change to the designated portion based at least in part on a comparison of data associated with a current version of the content object to data associated with a previous version of the content object; and

in response to detecting the change;

determine whether an amount of the designated portion that has changed exceeds a threshold; and

in response to determining the amount exceeds the threshold, generate a notification regarding the change.

18. The system of claim 17, wherein the content object comprises one of a web page, an image, a video, an animation, or a network-accessible document.

19. The system of claim 17, wherein the profile data comprises at least one of the following:

coordinates of the designated portion;

a markup tag associated with the designated portion, or an identifier associated with the designated portion.

20. The system of claim 17, wherein the content object is hosted by a third party content server, and wherein the one or more processors are further configured to monitor the content object for changes, the monitoring comprising periodically retrieving a copy of the content object from the third party content server.

21. The system of claim 17, wherein the one or more processors are further configured to:

receive, from a plurality of client computing devices, requests for the content object;

in response to receiving a request, retrieve, from a third party content server, a copy of the content object, wherein the current version of the content object comprises the copy.

22. The system of claim 17, wherein the threshold comprises one of a percentage of the important portion or a count of elements associated with the designated portion.

29. The system of claim 17, wherein the one or more processors are programmed by the module to assess the importance levels of each of the plurality of portions of the content object at least partly by analyzing user interactions with the content object, including scrolling interactions.

23. Non-transitory computer storage comprising:

a page profile generator that generates a page profile which directly or indirectly specifies, for a particular network-accessible content page, at least a first content page portion to be monitored for generating content update notifications and a second content page portion to be disregarded for generating content update notifications, wherein the page profile generator generates the page profile at least partly by analyzing interaction records reflective of user interactions with the content page;

executable code which uses the page profile to determine whether particular changes to the content page should be called to the attention of at least one user, said executable code configured to detect changes made to the first content page portion, and to determine whether said changes satisfy a threshold for providing a change notification to the at least one user; and

a notification component that provides change notifications to the at least one user based on determinations made by the executable code.

24. The non-transitory computer storage of claim 23, wherein the page profile is based at least partly on monitored user interactions of a plurality of users with the content page.

25. The non-transitory computer storage of claim 23, wherein the page profile is based at least partly on an explicit designation by a user of a content page portion to be monitored or disregarded.

26. The non-transitory computer storage of claim 23, wherein the executable code determines whether changes to the content page should be called to the attention of the at least one user based at least in part on a characteristic of a user device associated with the at least one user.

27. The non-transitory computer storage of claim 23, wherein the executable code is a browser component that is configured to run on a user computing device.

28. The non-transitory computer storage of claim 23, wherein the page profile generator uses recorded user interactions with the content page to determine which portion or portions of the content page are relatively important to users.