AUTOMATED USER ACTIVITY ASSOCIATED DATA COLLECTION AND REPORTING FOR CONTENT/METADATA SELECTION AND PROPAGATION SERVICE

• US 20080140642A1
• Filed: 10/10/2007
• Published: 06/12/2008
• Est. Priority Date: 10/10/2006
• Status: Abandoned Application

• Current Assignee: RIPL Corp.
• Original Assignee: RIPL Corp.
• Inventors: Lahr, Nils B., Hyman, Michael, Messing, Bill, Drake, Jan S.
• Application Number:
  US11/870,401
• Publication Number:
  US 20080140642A1
• Time in Patent Office: Days
• US Class Current: 707/5
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

In various embodiments, a client device is endowed with a client data collection and management service, a client content/metadata selection and propagation service and a client content presentation, to automatically collect user activity associated data to support a content/metadata selection and propagation service to select and propagate content/metadata more efficiently, flexibly and effectively (with high relevancy).

Claims

1. A method to be performed on a client device comprising:

monitoring by the client device user activities on the client device;

applying a plurality of data collection rules, by the client device, to observed user activities on the client device to selectively generate a plurality of user activity associated data including actively associated and passively associated data;

filtering or modifying by the client device the generated user activity associated data based at least in part on a plurality of data filtering rules or data modification rules respectively; and

selectively reporting by the client device the user activity associated data, filtered or unfiltered, modified or unmodified, to a content selection and propagation service configured to select and propagate content or metadata to a plurality of client devices.

2. The method of claim 1, wherein the selectively reporting further comprises selectively reporting by the client device the user activity associated data, filtered or unfiltered, modified or unmodified, to a trusted peer client device configured to perform at least the method set forth in claim 1.

3. The method of claim 1, wherein the data collection rules comprise local data collection rules, and the method further comprises the client device accepting locally provided input of the local data collection rules.

4. The method of claim 1, wherein the data collection rules comprise externally provided data collection rules, and the method further comprises the client device accepting the externally provided data collection rules from an external source remotely disposed from the client device.

5. The method of claim 1 further comprises the client device analyzing the generated user activity associated data, with or without filtering or modification, the selectively reporting including selectively reporting by the client device the results of the analyses.

6. The method of claim 1 wherein the applying of data collection rules further comprises applying by the client device a plurality of data collection rules to generate a plurality of trigger events to trigger creation of other data of interest based on observed data, the selectively reporting including selectively reporting by the client device the other data of interest.

7. The method of claim 6 further comprising filtering or modifying the other data of interest by the client device in accordance with a plurality of data filtering rules or a plurality of data modification rules respectively, the selectively reporting including selectively reporting by the client device the filtered or modified other data of interest.

8. The method of claim 1 further comprising

receiving from the content selection and propagation service, by the client device, messages comprising content or metadata;

and

selectively merging by the client device the received messages with locally queued messages comprising content or metadata.

9. The method of claim 8 further comprising selectively presenting by the client device, the merged messages to a user of the client device.

10. The method of claim 8 further comprising generating and queuing local messages comprising content or metadata by the client device, based at least in part on a plurality patterns relevant to the client device or a user of the client device.

11. The method of claim 10 further comprising determining by the client device the relevant patterns, employing a plurality of locally managed pattern analysis algorithms.

12. The method of claim 11 further comprising locally managing by the client device the pattern analysis algorithms.

13. The method of claim 10 further comprising sending by the client device the generated and queued messages comprising content or metadata to the content selection and propagation service or a trusted peer client device.

14. The method of claim 8 wherein the receiving further comprises receiving from a trusted peer client device, by the client device, messages comprising content or metadata, and the selectively merging comprises selectively merging by the client device the received messages from the trusted peer client device with the locally queued messages comprising content or metadata.

23. An apparatus comprising

at least one processor;

and

storage medium coupled to the processor, having stored therein a plurality of programming instructions to be operated by the processor, the programming instructions configured to practice the method as set forth in claim 1 when the programming instructions are operated by the processor.

24. An apparatus comprising

at least one processor;

and

storage medium coupled to the processor, having stored therein a plurality of programming instructions to be operated by the processor, the programming instructions configured to practice the method as set forth in claim 8 when the programming instructions are operated by the processor.

15. A method comprising

determining by the client device a plurality patterns relevant to the client device or a user of the client device, based at least in part on a plurality of locally collected user activity associated data, filtered or unfiltered, or modified or unmodified;

generating by the client device, a plurality of local messages comprising content or metadata based at least in part on the determined relevant patterns;

queuing by the client device, the generated messages;

receiving from a content selection and propagation service, by the client device, messages comprising content or metadata; and

selectively merging by the client device, the received messages with the locally queued messages comprising content or metadata.

16. The method of claim 15 further comprising selectively presenting by the client device, the merged messages to a user of the client device.

17. The method of claim 15 further comprising determining by the client device the relevant patterns, employing a plurality of locally managed pattern analysis algorithms.

18. The method of claim 17 further comprising locally managing by the client device the pattern analysis algorithms.

19. The method of claim 15 further comprising sending by the client device, the generated and queued messages comprising content or metadata to the content selection and propagation service.

20. The method of claim 15 further comprising sending by the client device, the generated and queued messages comprising content or metadata to a trusted peer client device.

21. The method of claim 15 wherein the receiving further comprises receiving from a trusted peer client device, by the client device, messages comprising content or metadata, and the selectively merging comprises selectively merging by the client device, the received messages from the trusted peer client device with the locally generated and queued messages comprising content or metadata.

22. The method of claim 15 wherein the determining is further based on other data of interest created by the client device, filtered or unfiltered, or modified or unmodified, the other data of interest being created by the client device in response to a plurality of trigger events generated by the client device based on the locally collected user activity associated data.

25. An apparatus comprising

at least one processor;

and

storage medium coupled to the processor, having stored therein a plurality of programming instructions to be operated by the processor, the programming instructions configured to practice the method as set forth in claim 15 when the programming instructions are operated by the processor.