Message distribution system and method

• US 9,171,089 B2
• Filed: 11/09/2011
• Issued: 10/27/2015
• Est. Priority Date: 11/16/2010
• Status: Active Grant

• Current Assignee: John Nicholas and Kristin Gross Trust U/A/D April 13 2010
• Original Assignee: John Nicholas and Kristin Gross Trust
• Inventors: Gross, John Nicholas, Albert, Philip
• Primary Examiner(s): NGUYEN, PHUOC H
• Application Number:
  US13/292,693
• Publication Number:
  US 20120124149A1
• Time in Patent Office: 1,448 Days
• Field of Search: 709/203, 709/231
• US Class Current: 1/1
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/954 Navigation, e.g. using categorised browsing
• CPC Class Codes: H04L 65/61 for supporting one-way streaming services, e.g. Internet radio
• 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

A networked computer system passes messages between source devices and destination devices based on source selections made by users of the destination devices. The source selections are based on taking into content contributed by the users. Overlap and duplication of content can be reduced in a datastream to enhance a user experience.

Claims

1. In a networked computer system that passes messages between source devices and destination devices based on source selections made by users of the destination devices, a method of providing a destination user datastream to the destination user'"'"'s device, comprising:

a. monitoring and identifying, with the networked computing system, a first information contribution of first content provided by a first content source during a first time period that contributed to the destination user datastream;

b. monitoring and identifying, with the networked computing system, a second information contribution of second content provided by a second content source that contributed to the destination user datastream during said first time period; and

c. comparing said first content source to said second content source as candidate source selections for the destination user by comparing their respective content outputs at least during an information comparison time window, including by calculating an amount of content overlap between said first information contribution from said first content source and said second information contribution from the second source;

d. causing the networked computing system to select from said candidate source selections and control the destination user datastream to include data from only one of the first content source and the second content source during a second time period after the first time period when said amount of content overlap measured in step (c) between the first information contribution and the second information contribution exceeds a first threshold.

2. The method of claim 1, wherein the networked computing system further calculates and considers an information contribution value calculated from a sum of aggregate separate values assigned to individual message items to control which of the first contributing entity and the second contributing entity is used to present data within the destination user datastream.

3. The method of claim 1, wherein the first information contribution and the second information contribution are measured over one or more content topics.

4. The method of claim 1, wherein the first information contribution and the second information contribution are measured by identifying uniform resource locator links within electronic messages.

5. The method of claim 1 wherein said first content is a set of limited character electronic messages.

6. The method of claim 1 further including a step:

timestamping individual content items from both said first source and said second source during said first time period.

7. The method of claim 1 wherein said information comparison time window is at least one day.

8. The method of claim 1 wherein during step (c) a timeliness factor is also used to calculate said first information contribution and said second information contribution.

9. The method of claim 1 wherein a measured content output rate is also considered as part of selecting between said candidate source selections.

10. The method of claim 1 wherein said comparison during step (c) is calculated for content directed to a first topic, and a noise contribution of non-first topic content contributed by each of said first content source and said second content source is calculated as well.

11. A method of providing a user datastream over an online network with a networked computing system comprising:

a. identifying an information contribution provided by each of a plurality of content contributing entities with the networked computing system with respect to a first topic during a first time window;

wherein a plurality of individual information contribution values are determined for the plurality of separate content contributing entities;

b. comparing each of said plurality of separate content contributing entities to each other based on their individual information contribution value for said first topic;

c. identifying a first topic coverage value to be achieved by content contributing entities for said first topic in the user datastream;

d. selecting with the networked computing system an optimized subset of one or more of such entities from the plurality of content contribution entities which achieve said first topic coverage value for inclusion as sources to be published within the user datastream for said first topic;

e. wherein the optimized set is determined with the networked computing system by removing a first subset of the plurality of content contributing entities which duplicate at least a first calculated amount of content contributed by the optimized set.

12. The method of claim 11 further including a step:

calculating a noise contribution by said plurality of content contribution entities, which noise contribution includes content directed to topics other than said first topic contributed;

wherein said optimized set is determined at step (e) also based on said noise contribution.

13. The method of claim 11 further including a step:

in response to the user requesting a change in information sources for the datastream, generating a visual display output indicating graphically a first predicted change in coverage in the datastream for said first topic based on adding or removing individual content contributing entities.

14. The method of claim 13 further including a step:

in response to the user requesting a change in information sources for the datastream, generating a visual display output indicating graphically a first predicted change in coverage in the datastream for noise content including content other than said first topic based on adding or removing individual content contributing entities.

15. The method of claim 11 wherein said optimized set is determined based on analyzing content for more than one topic.

16. The method of claim 11 wherein a measured content output rate is also considered as part of selecting said optimized set.

17. The method of claim 11 wherein said information contribution includes a set of limited character electronic messages.

18. The method of claim 17 further including a step:

timestamping individual content items during said first time window.

19. The method of claim 11 wherein during step (d) a timeliness factor is also used to calculate said first information contribution and said second information contribution.

20. In connection with a messaging computing system wherein a plurality of sources generate messages and a plurality of destinations obtain the messages, the messages being electronically represented and conveyed between source devices and destination devices based on electronically stored destination user subscription lists indicating which sources are provided to a destination user, thus forming a user datastream, a method of recommending sources to the destination user for inclusion as content contributors for the datastream, comprising:

a. identifying, with the messaging computing system, an information contribution provided on a first topic by each of a subscribed set of sources selected by the destination user;

b. calculating with the messaging computing system a first topic coverage value achieved by said subscribed set of sources for said first topic in the datastream;

c. in response to a destination user indication of an interest in altering the subscribed set, obtaining an indication of an additional content source associated with publishing content on said first topic;

d. comparing with the messaging computing system content of messages from the content sources of the subscribed set directed to said first topic to content of messages associated with the additional content source directed to said first topic; and

e. calculating with the messaging computing system a change in said first topic coverage value achieved by including said additional content source as part of said subscribed set of sources for said first topic in the datastream;

f. recommending to the destination user, with the messaging computing system, that the additional content source be included or excluded from the subscribed set based on said change value measured in step (e).

21. The method of claim 20, wherein comparing in step (d) comprises:

a. evaluating first information units of messages related to the first topic from the sources in the subscribed set;

b. evaluating second information units of messages related to the first topic from the additional content source; and

c. measuring an overlap in information content by comparing said first and second information units within a predetermined time window.

22. The method of claim 21, wherein step (b) includes evaluating metadata of messages.

23. The method of claim 20, wherein said recommending comprises generating a recommendation recommending inclusion or exclusion of one or more of a plurality of topics of messages from a particular source, such that some messages from the particular source directed to said first topic are provided in the user datastream while others directed to other topics are not.

24. The method of claim 20 including a step of recommending entities to said destination user for inclusion as content contributors related to a second target content topic in a datastream based on:

a. receiving an indication of a target content topic and a target topic content coverage from the user for said second target content topic;

b. automatically identifying with the networked computing system an information contribution provided by each of a set of content contributing entities for the second target content topic;

c. automatically recommending to said user with the networked computing system a subset of said set of content contributing entities which achieve said target content coverage for said second target content topic based on said measured information contribution.

25. The method of claim 20, further including a step:

selectively filtering content for the destination user out of the message stream which includes a predetermined word, tag, URL or content topic.

26. The method of claim 20 further including a step:

filling the destination user datastream with messages directed to multiple topics at a predetermined rate selected by such user.

27. The method of claim 20 wherein said messages are character limited electronic messages.

28. The method of claim 20 wherein said destination user is a website that performs news aggregation.

29. The method of claim 20 wherein said destination user is a search engine.

30. The method of claim 20 wherein steps (a) through (d) are executable routines embodied in a tangible machine readable medium.

31. In connection with a messaging system wherein a plurality of sources generate messages and a plurality of destinations obtain the messages, the messages being electronically represented and conveyed between source devices and destination devices based on electronically stored destination user subscription lists indicating which sources are provided to a destination user, thus forming a user datastream, a method of recommending sources to the destination user for inclusion as content contributors for the datastream, comprising:

a. identifying, with the messaging system, an information contribution provided by each of a subscribed set of sources selected by the destination user;

b. in response to a destination user indication of an interest in altering the subscribed set, obtaining an indication of an additional first content source;

c. comparing content of messages from the content sources of the subscribed set to content of messages associated with the additional first content source; and

d. recommending to the destination user, with the messaging system, that the additional first content source be included or excluded from the subscribed set based on a measured overlap in information content between the messages of the additional first content source and the messages of the subscribed set;

e. automatically and separately from step (b) recommending entities periodically to said destination user for inclusion as additional second content sources for a first topic in the datastream based on;

i. automatically identifying with the networked computing system an information contribution for said first topic provided by each of a first topic base set of content contributing entities selected by the destination user in a white list for such first topic;

ii. in response to a destination user request for suggestions for an additional second content contributing entity for inclusion on said white list for said first topic, automatically comparing content of said first topic base set of content contributing entities with a plurality of candidate additional second content contributing entities;

f. automatically recommending to said user with the networked computing system that one or more of said plurality of candidate additional second content contributing entities be included or excluded from said white list for such topic;

g. wherein step (f) is based on a measured overlap in information content between said first topic base set of content contributing entities on said white list and said one or more of said plurality of additional second candidate content contributing entities.