Microsoft Technology Licensing, LLC

Linkedin Corporation

Huining Feng

Aviad Pinkovezky

Viman Deb

Michael Brentley Dimapilis

Jingjing Huang

Hong H Tam

Eldo K Cherian

Ashvin Kannan

James Margatan

Michael Grishaver

Gyanda Sachdeva

Timothy Vergara Santos

George Benjamin Martin

Brian Learn-Hao Chang

Techniques for facilitating retargeting of content are described. According to various embodiments, a user specification of a first set of content items and a second set of content items may be received. Moreover, a user specification of flow logic information may be received. The flow logic information may specify a user trigger action, and an instruction that a second content item in the second set is only to be displayed to a particular user after it is determined that the particular user has performed the user trigger action on the first content item. Thereafter, it may be determined that the particular user has performed the user trigger action on the first content item, and the second content item may be displayed to the particular user, based on the flow logic information.

Techniques for facilitating content retargeting

Techniques to determine that an employer of a member has an omitted company page in a social network are described. A user input can be received from the member. The user input selecting a company from a company list. The company can have a similar name to an employer of the member and the company already having a company page. Member data of the member having social graph information can be accessed. Using the social graph information, a first connection density value for the member and the company can be calculated. Additionally, a second connection density value can be calculated for the member and the employer. Furthermore, a determination that the employer has an omitted company page can be determined based on the first connection density value and the second connection density value. Subsequently, a generation of a company page for the employer can be initiated based on the determination.

Determining an omitted company page based on a connection density value

Techniques for automatically generating a company profile in a social network are described. A profile generation module can access employment data from a member profile in a social network. Additionally, the profile generation module can determine an employer based on the accessed employment data. Furthermore, the profile generation module can verify that the determined company does not have an existing entity profile in the social network. Moreover, the profile generation module can authenticate the verified employer based on member data from the social network. Subsequently, the profile generation module can generate and post the entity profile on the social network.

Generating company profiles based on member data

Techniques for automatically generating a company profile in a social network are described. A company page generation module can present a company list and receive a user input from a member of a social network, with the user input being indicative of an employer of the member. Additionally, the company page generation module can access member data associated with the member and determine that the employer of the member has an omitted company page in the social network. Moreover, the company page generation module can obtain company information relating to the employer. Furthermore, the company page generation module can generate a company page in the social network for the employer based on the obtained information.

Automatic initiation for generating a company profile

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

The disclosed systems and methods are directed to monitoring events generated by a social networking service and determining whether the generated events relate to members of the social networking service. The events may be generated by members of the social networking service or by external websites being monitored by the social networking service. When the social networking service determines that an event relates to a given member, the social networking service may update the given member accordingly. The social networking service further conducts various types of processing on content associated with the event to determine whether the given member should be notified of the event. The types of processing performed on the content associated with the event depend on whether the event was generated by a member of the social networking service or by an external website. This processing helps to raise the given member's awareness of meaningful events.

Message pipeline for suggesting audiences of third-party published articles

Generally discussed herein are methods, systems, and apparatuses for crowdsourcing data. A method can include identifying a first entity has an auto-created profile on a social network site or has a profile page that has been abandoned by an administrator of the profile page, identifying a user of the site includes the first entity in their profile or includes a second entity in their profile where the second entity includes an industry identifier that matches an industry identifier of the first entity, prompting the user determined to be associated with the first entity to verify data about the first entity in the auto-created profile or provide new data about the first entity, and updating the auto-created profile of the first entity in response to the user confirming that the prior data is incorrect or providing new data about the first entity.

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Cupertino, CA, United States of America

Huining Feng