Broadcasting in chat system without topic-specific rooms

• US 7,899,869 B1
• Filed: 03/22/2007
• Issued: 03/01/2011
• Est. Priority Date: 03/22/2007
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Anderson, Monica
• Primary Examiner(s): Follansbee; John
• Assistant Examiner(s): Hussain; Imad
• Application Number:
  US11/728,318
• Time in Patent Office: 1,440 Days
• Field of Search: 709/206
• US Class Current: 709/206
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04L 12/1813 for computer conferences, e.g. chat rooms instant messaging H04L51/04; protocols for multimedia communication H04L65/1101; arrangements for multi-party communication H04L65/403; telephonic conference arrangements H04M3/56; television conference systems H04N7/15
• CPC Class Codes: H04L 51/02 using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• CPC Class Codes: H04L 51/04 Real-time or near real-time messaging, e.g. instant messaging [IM]
• CPC Class Codes: H04L 51/214 using selective forwarding
• CPC Class Codes: H04L 51/216 Handling conversation history, e.g. grouping of messages in sessions or threads
• CPC Class Codes: H04L 51/226 Delivery according to priorities
• CPC Class Codes: H04L 51/234 for tracking messages

Abstract

A method, system and graphical user interface for a chat system is disclosed. One aspect of certain embodiments includes broadcasting popular messages to users that have not previously received the popular messages and including with the popular messages one or more qualitative signals based on user feedback.

Claims

1. A computer-implemented method of increasing dissemination of popular messages in a chat system, the method comprising:

at the chat system having one or more processors and memory storing one or more programs for execution by the one or more processors to perform the method;

sending at least a portion of target messages from a plurality of real-time incoming messages to respective users of a plurality of users based on at least user-specified selection criteria of the respective users;

receiving from the respective users feedback data regarding respective authors of the received target messages;

evaluating the feedback data for identifying popular messages associated with the respective authors; and

in accordance with the identifying of popular messages, sending at least a portion of the popular messages to respective ones of a second set of the plurality of users.

2. The method of claim 1, further comprising sending a set of incoming messages from the plurality of real-time incoming messages to a randomly or pseudo-randomly selected set of users from the plurality of users for determining popularity of the set of incoming messages.

3. The method of claim 2, further comprising:

if one or more messages from the set of incoming messages are determined to be popular based on respective feedback data, sending the one or more messages as target messages to additional users of the plurality of users.

4. The method of claim 1, further comprising monitoring tracking requests from respective users of the plurality of users to track a respective target message for determining popularity of the target message and, if the number of received tracking requests exceeds a predefined value, sending the target message to additional users of the plurality of users.

5. The method of claim 1, further comprising including respective reputation scores when determining popular messages.

6. The method of claim 1, the method including sending with the popular messages one or more qualitative signals based on the feedback data;

wherein the one or more qualitative signals express at least one sentiment selected from the group consisting of;

“

good,”

“

bad,”

“

funny,”

“

punny,”

“

boring,”

“

redundant,”

“

agree,”

“

disagree,”

“

cannot understand,”

“

irrelevant,”

“

SPAM,”

“

obscene,”

“

objectionable,”

“

please continue,”

“

interesting,” and

“

uninteresting.”

7. The method of claim 1, further comprising applying a time-dependent decay function to one or more of the user-specified selection criteria, whereby values of the one or more user-specified selection criteria are discounted over time.

8. The method of claim 1, wherein the respective ones of the second set of the plurality of users include users who have not previously received the popular messages.

9. A non-transitory computer-readable medium comprising a computer program product, the computer program product comprising one or more computer programs that are stored on the computer readable medium and that are executable by a chat system having one or more processors so as to perform a process, the one or more computer programs of the computer program product comprising:

instructions for sending at least a portion of target messages from a plurality of real-time incoming messages to respective users of a plurality of users based on at least user-specified selection criteria of the respective users;

instructions for receiving from the respective users feedback data regarding respective authors of the received target messages;

instructions for evaluating the feedback data for identifying popular messages associated with the respective authors; and

instructions for sending, in accordance with the identifying of popular messages, at least a portion of the popular messages to respective ones of a second set of the plurality of users.

10. The computer readable medium of claim 9, further comprising instructions for sending a set of incoming messages from the plurality of real-time incoming messages to a randomly or pseudo-randomly selected set of users from the plurality of users for determining popularity of the set of incoming messages.

11. The computer readable medium of claim 10, including:

instructions, for execution when one or more messages from the set of incoming messages are determined to be popular based on respective feedback data, for sending the one or more messages as target messages to additional users of the plurality of users.

12. The computer readable medium of claim 9, further comprising instructions for monitoring tracking requests from respective users of the plurality of users to track a respective target message for determining popularity of the target message and, if the number of received tracking requests exceeds a predefined value, sending the target message to additional users of the plurality of users.

13. The computer readable medium of claim 9, further comprising instructions for including respective reputation scores when determining popular messages.

14. The computer readable medium of claim 9, the computer program product including instructions for sending with the popular messages one or more qualitative signals based on the feedback data;

wherein the one or more qualitative signals express at least one sentiment selected from the group consisting of;

“

good,”

“

bad,”

“

funny,”

“

punny,”

“

boring,”

“

redundant,”

“

agree,”

“

disagree,”

“

cannot understand,”

“

irrelevant,”

“

SPAM,”

“

obscene,”

“

objectionable,”

“

please continue,”

“

interesting,” and

“

uninteresting.”

15. A chat server system, comprising:

at least one interface for sending and receiving messages to and from client system

external to the chat server system;

one or more processors;

memory storing one or more computer programs for execution by the one or more processors, the one or more computer programs comprising;

instructions for sending at least a portion of target messages from a plurality of real-time incoming messages to respective users of a plurality of users based on at least user-specified selection criteria of the respective users;

instructions for receiving from the respective users feedback data regarding respective authors of the received target messages; and

instructions for evaluating the feedback data for identifying popular messages associated with the respective authors; and

instructions for sending, in accordance with the identifying of popular messages, at least a portion of the popular messages to respective ones of a second set of the plurality of users, a set of users who have not previously received the popular messages.

16. The chat server system of claim 15, the one or more computer programs further comprising instructions for sending a set of incoming messages from the plurality of real-time incoming messages to a randomly or pseudo-randomly selected set of users from the plurality of users for determining popularity of the set of incoming messages.

17. The chat server system of claim 16, the one or more computer programs including:

instructions, for execution when one or more messages from the set of incoming messages are determined to be popular based on respective feedback data, for sending the one or more messages as target messages to additional users of the plurality of users.

18. The chat server system of claim 15, the one or more computer programs further comprising instructions for monitoring tracking requests from respective users of the plurality of users to track a respective target message for determining popularity of the target message and, if the number of received tracking requests exceeds a predefined value, sending the target message to additional users of the plurality of users.

19. The chat server system of claim 15, the one or more computer programs further comprising instructions for including respective reputation scores when determining popular messages.

20. The chat server system of claim 15, the one or more computer programs including instructions for sending with the popular messages one or more qualitative signals based on the feedback data;

wherein the one or more qualitative signals express at least one sentiment selected from the group consisting of;

“

good,”

“

bad,”

“

funny,”

“

punny,”

“

boring,”

“

redundant,”

“

agree,”

“

disagree,”

“

cannot understand,”

“

irrelevant,”

“

SPAM,”

“

obscene,”

“

objectionable,”

“

please continue,”

“

interesting,” and

“

uninteresting.”