公开(公告)号：US20230206034A1

公开(公告)日：2023-06-29

申请号：US18182052

申请日：2023-03-10

申请人： Meta Platforms, Inc.

发明人： Myle Arif Ott ,  Aaron Bryan Adcock ,  Yaniv Shmueli ,  Peng-Jen Chen ,  Wenbo Yuan ,  Junfei Wang

IPC分类号： G06N3/047 ,  G06N3/08 ,  G06F7/08 ,  H04L67/306 ,  H04L67/52 ,  G06N5/02

CPC分类号： G06N3/047 ,  G06N3/08 ,  G06F7/08 ,  H04L67/306 ,  H04L67/52 ,  G06N5/02 ,  H04L67/10

摘要： In one embodiment, a method includes accessing a place-entities graph comprising a plurality of place-entity nodes, in which each place-entity node representing a place-entity corresponding to a particular geographic location, and identifying a place-entity cluster within the place-entities graph. The place-entity cluster comprises a plurality of place-entity nodes corresponding to a plurality of place-entities corresponding to the same geographic location. The method includes accessing embeddings representing the plurality of place-entities corresponding to the place-entity cluster. Each embedding is a point in a d-dimensional embedding space. The method includes calculating, using a machine-learning model, a cluster-quality score of the place-entity cluster based on the embeddings. The cluster-quality score represents a probability that the place-entities correspond to a valid geographic location. The method further includes identifying the place-entities as corresponding to an invalid geographic location based on a determining that the cluster-quality score is less than a threshold cluster-quality score.

公开(公告)号：US11604968B2

公开(公告)日：2023-03-14

申请号：US15838287

申请日：2017-12-11

申请人： Meta Platforms, Inc.

发明人： Myle Arif Ott ,  Aaron Bryan Adcock ,  Yaniv Shmueli ,  Peng-Jen Chen ,  Wenbo Yuan ,  Junfei Wang

IPC分类号： G06N3/08 ,  G06N5/02 ,  G06N3/04 ,  G06F7/08 ,  H04L67/306 ,  H04L67/52 ,  H04L67/10 ,  G01S19/48

摘要： In one embodiment, a method includes receiving, from a client system associated with a user of an online social network, data indicating that the user is located at a first geographic location at a first time; accessing a first embedding representing a first place-entity corresponding to the first geographic location; accessing multiple second embeddings representing multiple respective second place-entities each corresponding to a second geographic location; calculating, a similarity metric between the embedding representing the first place-entity and each of the embeddings representing the second place-entities; ranking each of the second place-entities based on their calculated similarity metrics; and sending, to the client system, information associated with one or more second geographic locations corresponding to one or more second place-entities having a ranking greater than a threshold ranking.