Yahoo! Inc.

Microsoft Technology Licensing, LLC

Lei Guo

Xin Li

Lei Duan

Seokkyung Chung

Yihong Zhao

Guenther Schmuelling

Eric Zhao

Will Chin

A plurality of web documents that include indicators corresponding to one or more selectable like objects may be obtained. A corresponding web domain associated with each of the plurality of obtained web documents may be determined. A domain total like object count of the indicators corresponding to the one or more selectable like objects may be determined for each one of the obtained plurality of web documents, for each determined corresponding web domain. A candidate group of the corresponding web domains may be determined based on a comparison of a predetermined first threshold value with one or more of the domain total like object counts. A likefarm domain confidence score may be determined for each one of a second group of the corresponding web domains based on a decision tree function that is based on a plurality of domain attributes.

Likefarm determination

One particular embodiment accesses a plurality of user profiles corresponding to a plurality of users and a plurality of content objects; ranks the users in descending order based on a number of content objects each of the users has contributed to the social network; represents in log space ranks of the users versus in log space numbers of content objects contributed by the users; determines a threshold rank based on an increasing rate of the ranks of the users, a decreasing rate of the numbers of content objects, and a predetermined value in the log space; and identifies from among the users, those users ranked at and above the threshold rank as high-volume content contributors for the social network. The users belong to a social network; and each of the users has contributed at least one of the content objects to the social network.

Identifying top content contributors in online social networks

The present invention is directed towards systems and methods for determining a tag match ratio. The method according to one embodiment of the present invention comprises selecting a content item, identifying one or more tags that are associated with the content item and determining a weight for each of the one or more tags associated with the content item. The method further comprises extracting one or more keywords from the content item. A tag match ratio for the one or more tags associated with the content item is then calculated and stored.

Systems and methods for determining a tag match ratio

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Milpitas, CA, United States of America

Lei Guo