Twitter, Inc.

Alek Kolcz

A method for generating recommendations involves selecting a first platform message, making a first determination that the first platform message is potentially associated with a plurality of topics including a first topic and a second topic, obtaining additional information associated with the first platform message including at least one of information about an account that authored the first platform message and information about third party accounts engaging with the first platform message, making a second determining that the first platform message is associated with the first topic using the plurality of topics and at least a portion of the additional information, wherein the first topic is an initial classification of the first platform message, generating a recommendation for at least one account based on the second determination, and providing the recommendation to at least one account.

Method and system for topic disambiguation and classification

A method involving obtaining a first plurality of topic groups (TGs), each having a membership of accounts, identifying a first plurality of accounts as authorities for an expertise topic, obtaining a second plurality of TGs with a number of accounts as members, wherein the first plurality of TGs comprises the second plurality of TGs, identifying a first frequent account which is a member in at least one of the second plurality of TGs, adding the first frequent account to the authorities of the expertise topic to obtain a second plurality of accounts as the authorities of the expertise topic, determining a third plurality of TGs in which a second number of accounts from the second plurality of accounts are members, determining that another frequent account is a member in one of the third plurality of TGs, and obtaining a ranking of accounts that are an authority on the expertise topic.

Determining whether a user in a social network is an authority on a topic

Topic disambiguation and classification

A method for providing recommendations involves obtaining a first topic group (TG) associated with a first expertise topic, the first TG specifying a first plurality of accounts, selecting a second TG that specifies a second plurality of accounts, making a first determination that one of the second plurality of accounts is specified in the first TG, based on the first determination, analyzing the second plurality of accounts to determine whether the second TG is associated with the first expertise topic, based on the analysis making a second determination that the second TG is associated with the first expertise topic, generating a recommendation for a first account based on a third determination that the first account is related to an account in the first plurality of accounts or an account in the second plurality of accounts, and providing the recommendation to the first account.

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Seattle, WA, United States of America

Alek Kolcz