Facebook, Inc.

Bevocal, Inc.

Rohit Dhawan

Thomas Giovanni Carriero

Nicolas Andrij Bushak

Jeffrey Andrew Kanter

Brian Piepgrass Hale

Yuankai Ge

Eric Faller

Bertrand A Damiba

Brian Piepgrass

Vipul Niranjan Vyas

Anthony Rajakumar

Navneet Raja

In one embodiment, a computing device of a network environment may receive a search query comprising location parameters. The computing device may identify locations matching the search query. The computing device may access a particular record corresponding to the location, wherein the record indicates actions by users performed on the network environment with respect to the location. The computing device may determine, for each identified location, one or more counts of one or more types of actions. The computing device may generate a search-results page comprising references corresponding to the identified locations. Each reference may display the determined counts for the respective identified location. The references may be listed in ranked order based at least in part on their respective counts. The computing device may send to a client device of a user instructions for presenting the search-results page to the user.

Social discovery and ranking of pages

In one embodiment, a social-networking system accesses a social graph with a plurality of user nodes and a plurality of location nodes, receives a search query with location parameters, identifies a set of location nodes based on the search query, and determines a value for each location nodes in the set based on the edges connected to the location nodes in the social graph.

A social networking system provides tips to users about non-user entities within the social networking system. Tips include short questions, comments, reviews and non-user entities include businesses, products, bands, songs etc. Tips are provided by users of the social networking system, wherein the tips are displayed to other users of if the other users meet privacy criteria associated with the tips. Additionally, tips are ranked based on the likelihood that a user will view or read the tip. Tips with the greatest likelihood are ranked higher than those with a lower likelihood. Selected tips with a high likelihood to be viewed are displayed to a viewing user on the topic page or within the user's news feed story.

Providing recommendations on a social networking system page

Posts are ranked for display on a page in a social network environment based on interaction and user score signals associated with the post and a viewing user. The signals for each of the posts are scored, and a ranking score for each post is determined. The posts are ranked in an order for display based on the ranking score and displayed for the viewing user on the page. Posts submitted by other users who have established connections with the viewing user are also filtered for display in a social box on the page.

Social context for a page containing content from a global community

When a social interaction involving a non-user page is detected, a determination is made as to whether to notify an administrator of the page regarding the detected interaction. The determination is made based on a notification policy that describes a variable pattern for communicating with the administrator regarding social interactions. If a determination is made to notify the administrator, a communication is transmitted to the administrator describing the detected interaction.

Notification of social interactions with a networking system

A system, method and computer program product are provided for collecting information utilizing speech recognition. After receiving a specification, a voice application is configured based on the specification. During use, the voice application is capable of collecting information utilizing speech recognition.

Growing community of inventors

San Francisco, CA, United States of America

Rohit Dhawan