Network estimation
AssigneeMicrosoft Technology Licensing, LLC
InventorsAlexandre Lee, Shipeng Yu, Yan Liu
Life of this patent
Estimating the term…
Abstract
This disclosure relates to systems and methods for searching names using name clusters. A method includes training a supervised machine learning system to learn a connection strength between a member and peers of the member; clustering the member with the peers in response to a threshold number of profile similarities between the member and the peers and the connection strength between the member and the peers being above a connection strength threshold value; and applying an unsupervised machine learning system using output from the supervised machine learning system and the clustering to generate a connection between the member and at least one of the peers.
Claims20
A system comprising:
- a machine-readable medium having instructions stored thereon, which, when executed by a processor, causes the processor to perform operations comprising:
- training a supervised machine learning system to learn a connection strength between a member of an online social networking service and peers of the member at the online social networking service, the member and the peers being employed by a division of a common entity;
- clustering the member with the peers in response to a threshold number of profile similarities between the member and the peers, and the connection strength between the member and the peers being above a connection strength threshold value;
- applying an unsupervised machine learning system using output from the supervised machine learning system and the clustering to generate a connection between the member and at least one of the peers;
- and
- connecting, at the online social networking service, the member with the at least one peer in an organizational structure representing a division of the common entity.
A method comprising:
- training a supervised machine learning system to learn a connection strength between a member of an online social networking service and peers of the member at the online social networking service, the member and the peers being employed by a division of a common entity;
- clustering the member with the peers in response to a threshold number of profile similarities between the member and the peers, and the connection strength between the member and the peers being above a connection strength threshold value;
- applying an unsupervised machine learning system using output from the supervised machine learning system and the clustering to generate a connection between the member and at least one of the peers;
- and
- connecting, at the online social networking service, the member with the at least one peer in an organizational structure representing a division of the common entity.
A machine-readable hardware medium having instructions stored thereon, which, when executed by a processor, cause the processor to perform:
- training a supervised machine learning system to learn a connection strength between a member of an online social networking service and peers of the member at the online social networking service, the member and the peers being employed by a division of a common entity;
- clustering the member with the peers in response to a threshold number of profile similarities between the member and the peers, and the connection strength between the member and the peers being above a connection strength threshold value;
- applying an unsupervised machine learning system using output from the supervised machine learning system and the clustering to generate a connection between the member and at least one of the peers;
- and
- connecting, at the online social networking service, the member with the at least one peer in an organizational structure representing a division of the common entity.
Dependencies are inferred from the claim text.