公开(公告)号：US10025867B2

公开(公告)日：2018-07-17

申请号：US14869656

申请日：2015-09-29

Applicant: Facebook, Inc.

Inventor： Igor Kabiljo ,  Laxman Dhulipala ,  Alon Michael Shalita ,  Arun Dattaram Sharma ,  Brian Christopher Karrer

IPC: G06F17/30

Abstract: Embodiments are disclosed for improving cache or memory efficiency of a social network system. A method according to some embodiments includes steps of: receiving an instruction to improve cache or memory efficiency of social graph data of a social graph; generating based on the social graph a partitioning tree including multiple bottom-level buckets, the partitioning tree dividing the vertices of the social graph into the bottom-level buckets and ordering the bottom-level buckets such that a social network metric regarding the vertices is optimized; assigning user IDs to the vertices of the social network in a numerical sequence based on the ordering of the bottom-level buckets; storing the social graph data of the users in storage locations in an order according to the numeral sequence of the assigned user IDs of the vertices.

公开(公告)号：US20170091334A1

公开(公告)日：2017-03-30

申请号：US14869656

申请日：2015-09-29

Applicant: Facebook, Inc.

Inventor： Igor Kabiljo ,  Laxman Dhulipala ,  Alon Michael Shalita ,  Arun Dattaram Sharma ,  Brian Christopher Karrer

IPC: G06F17/30

CPC classification number: G06F17/30867 ,  G06F17/3053 ,  G06F17/30584 ,  G06F17/30876 ,  G06F17/30958 ,  G06F17/30961

Abstract: Embodiments are disclosed for improving cache or memory efficiency of a social network system. A method according to some embodiments includes steps of: receiving an instruction to improve cache or memory efficiency of social graph data of a social graph; generating based on the social graph a partitioning tree including multiple bottom-level buckets, the partitioning tree dividing the vertices of the social graph into the bottom-level buckets and ordering the bottom-level buckets such that a social network metric regarding the vertices is optimized; assigning user IDs to the vertices of the social network in a numerical sequence based on the ordering of the bottom-level buckets; storing the social graph data of the users in storage locations in an order according to the numeral sequence of the assigned user IDs of the vertices.