Microsoft Technology Licensing, LLC

Linkedin Corporation

Annabel Fang Liu

Abhishek Gupta

Anmol Bhasin

Sachin Rekhi

Angela Yoonjeong Yang

Lei Ni

Zang Li

Pierre Yannick Monestie

Prasad Kamalakar Gune

Alex Martin Bain

Lin Yang

Qi Liu

Rahul D Sule

Sridevi Kulasekaran

A method and system for providing account recommendations is disclosed. A server system stores sales data for a first member, wherein sales data includes profile information for one or more individual customers. The server system analyzes the profile information for one or more of the individual customers to identify one attributes associated with the customers. The server system determines one or more additional members with member profiles that include the one or more identified attributes. For a respective additional member in the at least one of the determined additional members the server system determines, based on stored information about the respective additional member, an respective organization associated with the at least one determined additional member; and selects the respective organization as an account recommendation.

Account recommendations

A method and system for providing lead recommendations are disclosed. A server system stores profile information for a plurality of members of a server system. The server system then analyzes the stored profile information to identify one or more potential sales lead recommendations for a first member of the server system. The server system then ranks the one or more identified potential sales lead recommendations. The server system selects one or more of the identified sales lead recommendations and transmits the selected one or more identified sales lead recommendations to a client device associated with the first member of the server system.

Lead recommendations

A method and system for providing account recommendations is disclosed. A server system stores sales data for a first member, wherein sales data includes profile information for one or more individual customers. The sewer system analyzes the profile information for one or more of the individual customers to identify one attributes associated with the customers. The server system determines one or more additional members with member profiles that include the one or more identified attributes. For a respective additional member in the at least one of the determined additional members the server system determines, based on stored information about the respective additional member, an respective organization associated with the at least one determined additional member; and selects the respective organization as an account recommendation.

A method of sharing recruiting data between business units of an organization is disclosed. It is determined that a first business unit has a contract to use a first set of resources of a social-networking system to manage a first set of profiles. It is determined that a second business unit has a contract to use a second set of resources to manage a second set of profiles. It is determined that the first entity used the first set of resources to create a private data item and to associate the private data item with a profile of the first set of profiles. It is determined that the profile of the first set of profiles and a profile of the second set of profiles correspond to the same person. The second entity is provided with access to the private data item, but not control of the first set of resources.

Sharing recruiting data across business units of an organization

A method of storing data items included in an email message for access by a user in conjunction with an accessing by the user of a profile of a member of the social-networking system is disclosed. An email message from an additional user of a social-networking system is received by the user of the social-networking system. A data item included in the email message is identified upon which a correspondence between the data item included in the email message and a profile of a member of the social-networking system may be determined. An additional data item included in the email message is stored such that the additional data item is accessible by the user of the social-networking system in conjunction with an accessing by the user of the profile of the member.

Associating private annotations with public profiles

In order to prevent unauthorized access to information, a system may analyze and may selectively store the information provided based on requests from users that are not unauthorized to access the information. In particular, the system may receive a request for information associated with a document (such as a web page) from an authorized user, either in real-time (i.e., during live or online operation of the system) or offline (in which case the system may operate as a proxy for a live feed of requests). In response, the system may provide or replay the request, but may include the credentials of an unauthorized user. Then, the system may analyze the response to the request to determine if the response is substantive (i.e., includes information). If yes, the system may store the response for use in subsequent analysis and to guide remedial action.

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Los Altos, CA, United States of America

Annabel Fang Liu