Linkedin Corporation

Microsoft Technology Licensing, LLC

Siva Visakan Sooriyan

Dipchand Nishar

Mauroof Ahmed

Sumanth Kolar

Piyush Nitin Gadigone

Shaunak Chatterjee

Mark Hull

Birjodh S Tiwana

Kinjal Basu

Hans Van De Bruggen

Vinoth Chandar

Jesse Jyh-Cherng Hsia

Sammy Shreibati

Vivian Mak Urata

Haiyang Liu

Artur Kubalski

Michael Joshua Aft

Asa Kusuma

Described herein is a contextual contact recommendation or suggestion service and system. The service, which, in some embodiments, is integrated with a social networking service and/or an instant messaging service, takes as input a first parameter that identifies a member of the social networking service, and a second parameter that defines a context (e.g., a web page that is being viewed by the member. The service, based in part on the context, computes a ranked list of members to populate a contextual contact list, thereby recommending or suggesting contacts, with whom the member might be interested in initiating, or continuing, a conversation, based on the context of the member's current web browsing session. Optionally, the service may take as input a third parameter, defining a use case, such that the recommendation algorithm can be customized by use case.

Techniques for presenting a contextual contact list

Techniques for enabling members to learn about and interact with their social network via games are described. According to various embodiments, it is determined that a content item or entity associated with an online social network service is relevant to a member of the online social network service. An online game including a game question and a correct game answer is generated based on the content item or entity. The game question is then displayed to the member, and a member response to the displayed game question is received. Thereafter, a game result is displayed, and the member is enabled to interact with the content item or entity.

Social network interaction via games

In various example embodiments, a system and method for providing geographic-based event recommendation and event attendee networking are presented. A suggested event may be determined based on location information of a user. The user may be a member among members of a social network service. Event information corresponding to the suggested event may be provided to the user. A user attendance indication may be received from the user. The user attendance indication may indicate that the user may be attending the suggested event. Contact members, from among the members of the social network service, that are associated with the user through the social network service may be identified. An event notification may be communicated to the contact members. The event notification may include the user attendance indication.

Geographic based event recommendation and event attendee networking

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San Francisco, CA, United States of America

Siva Visakan Sooriyan