Microsoft Technology Licensing, LLC

Linkedin Corporation

Hong H Tam

Aviad Pinkovezky

Huining Feng

Eldo K Cherian

Dan Shacham

Tianhao Lu

Junzhe Miao

Yunpeng Xu

Tao Xiong

The disclosed embodiments provide a system that identifies duplicate entities. During operation, the system selects training data for a first machine learning model based on confidence scores representing likelihoods that pairs of entities in an online system are duplicates. Next, the system updates parameters of the first machine learning model based on features and labels in the training data. The system then identifies a first subset of additional pairs of the entities as duplicate entities based on scores generated by the first machine learning model from values of the features for the additional pairs and a first threshold associated with the scores. The system also determines a canonical entity in each of the duplicate entities based on additional features. Finally, the system updates content outputted in a user interface of the online system based on the identified first subset of the additional pairs.

Identifying duplicate entities

A social networking server receives a request from a member of an organization to configure a targeted update for the organization. The targeted update may be intended for a particular group of members of a social network service. The social networking server may provide various follower dimensions to associate with the targeted update, where each of the follower dimensions include one or more selectable attributes. When the social networking server receives a request for an organization's webpage from a member of the social network service, the social networking server may compare member attributes of a member profile associated with the member with the follower dimension attributes associated with the targeted update. The social networking server may provide the targeted update for display with the webpage of the organization based on the member attributes satisfying at least one follower dimension attribute associated with the targeted update.

Organization targeted status updates

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Fremont, CA, United States of America

Hong H Tam