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Automatically suggesting groups based on past user interaction

  • US 9,299,060 B2
  • Filed: 10/12/2012
  • Issued: 03/29/2016
  • Est. Priority Date: 10/12/2012
  • Status: Expired due to Fees
First Claim
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1. A computer-implemented method comprising:

  • aggregating message-related information of a first user from a plurality of electronic messages associated with the first user;

    identifying a cluster of related users based on the aggregated message-related information of the first user and conversations included in the plurality of electronic messages in which the cluster of related users discussed a similar subject matter;

    determining interaction levels for the cluster of related users, the interaction levels describing a level of interaction between the first user and related users of the cluster of related users;

    ranking the cluster of related users based on the interaction levels;

    determining a group scope based on the interaction levels;

    generating a group name based on the similar subject matter;

    generating a group suggestion suggesting a group be created on a social networking service based on the ranking of the cluster of related users, the group suggestion including the determined group scope and the generated group name;

    determining that the first user is participating in at least one of the conversations;

    responsive to determining that the first user is participating in the at least one of the conversations, sending the group suggestion to the first user for presentation;

    receiving a response from the first user including user input provided in response to the sending of the group suggestion; and

    creating the group of users on the social networking service based on the response.

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