公开(公告)号：US11200284B1

公开(公告)日：2021-12-14

申请号：US15967414

申请日：2018-04-30

Applicant: Facebook, Inc.

Inventor： Miao Li ,  Sagar Chordia ,  Harsh Doshi ,  Xianjie Chen ,  Qin Huang

IPC: G06F16/00 ,  G06F16/904 ,  G06N3/04 ,  G06K9/62 ,  G06F16/901

Abstract: A system trains models to generate embeddings that represent likelihoods associated with features. For example, an embedding may be generated for users and pages such that a user's embedding represents how likely a user is to comment on a given page. Initially, memory space for storing each embedding may be overprovisioned. The system monitors the embeddings for a feature as they are generated and recalculated over time. If the system detects that a particular index value is never updated for embeddings of that feature, then the system may remove that value from the feature embeddings. This allows the array lengths of embeddings to be customized to the particular features they represent, saving memory space. The system may further use related information to identify pooling functions that are most effective for particular features, to identify similarities between entities, and to provide insight into how the feature data influences neural network layers.

公开(公告)号：US10664875B2

公开(公告)日：2020-05-26

申请号：US15721664

申请日：2017-09-29

Applicant: Facebook, Inc.

Inventor： Harsh Doshi ,  Wei Wei ,  Zeyue Chen ,  Tanmoy Chakraborty ,  Sagar Chordia ,  Peng Chen

IPC: H04N7/10 ,  H04N7/025 ,  G06Q30/02 ,  H04N21/81 ,  H04N21/262 ,  H04N21/258

Abstract: An online system provides a feed of content including organic content items and sponsored content items that are positioned relative to each other to maximize user interaction with the feed of content. To reduce latency of providing the feed of content to a user without impairing positioning of organic content items and sponsored content items relative to each other, the online system initially selects a subset of sponsored content items based on characteristics (e.g., bid amounts) of the sponsored content items. Subsequently, the online system applies one or more selection processes to organic content items and to sponsored content items of the subset that accounts for positioning of sponsored content items and organic content items relative to each other within the feed of content. Hence, the online system evaluates the subset of sponsored content items along with organic content items when ordering content within the feed.

公开(公告)号：US20180293611A1

公开(公告)日：2018-10-11

申请号：US15482447

申请日：2017-04-07

Applicant: Facebook, Inc.

Inventor： Sagar Chordia ,  Kai Ren ,  Adiitya Pal ,  Amac Herdagdelen ,  Tian Wang

IPC: G06Q30/02 ,  H04L29/08 ,  G06N99/00 ,  G06N5/04

Abstract: A primary online system infers interests for its users based on interest information in a secondary online system. Users that have user profiles in both the primary online system and the secondary online system are identified, and those associated with a target interest in the secondary online system are selected as part of a training group of that is used to generate an interest inference model that associates information in the training group's user profiles in the primary online system with the target interest. The interest inference model is applied to an input group of users in the primary online system to identify a seed group of users for whom the target interest can be inferred. The primary online system can then target content related to the target interest to an expanded group of users generated based on the seed group.

公开(公告)号：US20190102806A1

公开(公告)日：2019-04-04

申请号：US15721664

申请日：2017-09-29

Applicant: Facebook, Inc.

Inventor： Harsh Doshi ,  Wei Wei ,  Zeyue Chen ,  Tanmoy Chakraborty ,  Sagar Chordia ,  Peng Chen

IPC: G06Q30/02 ,  H04N21/262 ,  H04N21/81

Abstract: An online system provides a feed of content including organic content items and sponsored content items that are positioned relative to each other to maximize user interaction with the feed of content. To reduce latency of providing the feed of content to a user without impairing positioning of organic content items and sponsored content items relative to each other, the online system initially selects a subset of sponsored content items based on characteristics (e.g., bid amounts) of the sponsored content items. Subsequently, the online system applies one or more selection processes to organic content items and to sponsored content items of the subset that accounts for positioning of sponsored content items and organic content items relative to each other within the feed of content. Hence, the online system evaluates the subset of sponsored content items along with organic content items when ordering content within the feed.

公开(公告)号：US20190005409A1

公开(公告)日：2019-01-03

申请号：US15639885

申请日：2017-06-30

Applicant: Facebook, Inc.

Inventor： Harsh Doshi ,  Kai Ren ,  Sagar Chordia

IPC: G06N99/00 ,  G06N5/04

Abstract: Methods and systems are described herein for jointly training embeddings. The method involves identifying a first data set describing occurrences of a first event type and identifying a second data set describing occurrences of a second event type, in which the first data set and the second data set include a set of users in common. The method further involves jointly training a set of embeddings a joint set of users, involving training the set of users in common based on co-occurrences of events of the first event type first data set and co-occurrences of events of the second event type in the second data set. The method further involves training a computer model that predicts the likelihood of occurrence of a future event for a user with respect to a content item based on the embedding for the user in the jointly trained set of embeddings.