Facebook, Inc.

Brian Piepgrass

Deeptanshu Verma

Peter Henry Martinazzi

Thomas Giovanni Carriero

Siddharth Kar

Alexander Paul Schultz

Thomas Alison

Ching-Chih Weng

Daniel Ferrante

Rohit Dhawan

Nicolas Andrij Bushak

Ziqing Mao

Ashish Kumar Yadav

Julia Lee

Tony Hsien-yu Liu

Techniques introduced here include a system and method for determining whether to provide a user of a social networking system with candidate users (i.e., potential contacts) with whom the user does not already have any connections with. In some embodiments, the system generates a set of candidate users based on a value (e.g., to the social networking system) associated with each potential connection formed between the user and the set of candidate users. In one or more embodiments, the system ranks the candidate users based on their connection-value to the social networking system and provides the ranked candidate users as suggested new connections to the user.

Methods and systems for determining use and content of PYMK based on value model

A method for making entity recommendations to users of a social networking system (SNS) by maximizing a predicted benefit to the SNS through objective value models. The method includes generating a plurality of candidate entities eligible for recommendation, and determining a weight for each candidate entity based upon an output score generated by an objective value model. The objective value model utilizes objectively measurable input values describing the candidate entities and generates larger output scores for those candidate entities that would create larger predicted increases in an objectively measurable amount of benefit for the SNS created by a potential connection being created between the user and the respective candidate entity. One or more entities are selected based upon the determined weights, and an entity recommendation user interface is presented to the user that includes one or more recommendation modules identifying the selected one or more entities.

Objective value models for entity recommendation

In one embodiment, one or more computing devices identify concept nodes of a same concept in a social graph, and create a meta node connecting to the concept nodes by respective edges.

Metanodes for open graph protocols

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.

Social discovery and ranking of pages

Growing community of inventors

Mountain View, CA, United States of America

Brian Piepgrass