公开(公告)号：US09996531B1

公开(公告)日：2018-06-12

申请号：US15084292

申请日：2016-03-29

Applicant: Facebook, Inc.

Inventor： Savas Parastatidis ,  Benoit F Dumoulin ,  Antoine Raux ,  Rajen Subba ,  Stefan Nelson-Lindall ,  Wenhai Yang

IPC: G10L21/00 ,  G06F17/27 ,  G06F17/24 ,  G10L15/22

CPC classification number: G06F17/279 ,  G06F17/277 ,  G06F17/30654 ,  G10L15/22

Abstract: Exemplary embodiments relate to methods, mediums, and systems for managing a conversation. In an embodiment, a computer-implemented input interface is provided to receive an input comprising information in natural language. A dialog manager is configured to determine an intent of the input, determine information to fulfill the intent, and identify one or both of information available to the dialog manager or information that is unavailable to the dialog manager. A conversational understanding document documents the intent and the identified information. An output interface forwards the conversational understanding document towards a task completion handler separate and distinct from the dialog manager. Other embodiments are described and claimed.

公开(公告)号：US20210232589A1

公开(公告)日：2021-07-29

申请号：US17227210

申请日：2021-04-09

Applicant: Facebook, Inc.

Inventor： Brian Nelson ,  Vivek Natarajan ,  Shawn C. P. Mei ,  Wenhai Yang

IPC: G06F16/2457 ,  G06Q50/00 ,  G06F16/438 ,  G06F16/9535

Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, by an assistant xbot associated with the one or more computing systems, a user request for a content digest, retrieving one or more content objects corresponding to the user request, generating one or more slides for the one or more retrieved content objects, respectively, and providing, by the assistant xbot, instructions for presenting the content digest responsive to the request from the first user, wherein the content digest comprises the one or more slides, and wherein one or more of the slides of the content digest are removed from the content digest after a predetermined time period.

公开(公告)号：US11003669B1

公开(公告)日：2021-05-11

申请号：US16151040

申请日：2018-10-03

Applicant: Facebook, Inc.

Inventor： Brian Nelson ,  Vivek Natarajan ,  Shawn C. P. Mei ,  Wenhai Yang

IPC: G06F16/438 ,  G06F16/2457 ,  G06Q50/00 ,  G06F16/9535

Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, from a client system associated with a user, a request from the user for a content digest from an online social network, retrieving one or more content objects associated with the online social network that are accessible by the user, selecting one or more of the retrieved content objects to incorporate into the content digest based on their identified categories, generating one or more slides for the one or more selected content objects, respectively, wherein each slide comprises a summary and representative image of the respective selected content object, sending, to the client system of the user, instructions for presenting the content digest responsive to the request from the user, wherein the content digest comprises the one or more slides.

公开(公告)号：US20190327330A1

公开(公告)日：2019-10-24

申请号：US15967239

申请日：2018-04-30

Applicant: Facebook, Inc.

Inventor： Vivek Natarajan ,  Wenhai Yang ,  Honglei Liu ,  Anuj Kumar

IPC: H04L29/08 ,  G06Q50/00 ,  H04L12/58 ,  G06F17/30 ,  G06F15/18

Abstract: In one embodiment, a method includes accessing a plurality of content objects associated with a first user from an online social network, accessing a baseline profile, wherein the baseline profile is based on ontology data from one or more information graphs, accessing conversational data associated with the first user, determining one or more subjects associated with the first user based on the plurality of content objects and conversational data associated with the first user, and generating a customized user profile for the first user based on the baseline profile, wherein the user profile comprises one or more confidence scores associated with the respective one or more subjects associated with the first user, wherein the one or more confidence scores are calculated based on the plurality of content objects associated with the first user and the conversational data associated with the first user.

公开(公告)号：US20190205386A1

公开(公告)日：2019-07-04

申请号：US16211414

申请日：2018-12-06

Applicant: Facebook, Inc.

Inventor： Anuj Kumar ,  Benoit Dumoulin ,  Wenhai Yang ,  Rajen Subba

IPC: G06F17/27 ,  G06F9/451 ,  G06N5/04 ,  G06N20/00

CPC classification number: G06F17/2785 ,  G06F9/453 ,  G06N5/043 ,  G06N5/046 ,  G06N20/00

Abstract: A user interacts with a virtual digital assistant with the intent that it provides assistance with a task. The user sends messages to the virtual digital assistant that include content obtained via user input at a client device. An intent determination model is applied to the content to identify the user's intent. The virtual digital assistant identifies agents that are capable of servicing the intent are identified and retrieves contextual data relating to the message from a data store. An intent arbitration model is used to select one of the agents which is activated to provide assistance with the task. The contextual information may include global metrics of agent performance and/or information regarding the user's preferences.

公开(公告)号：US20190197399A1

公开(公告)日：2019-06-27

申请号：US15855946

申请日：2017-12-27

Applicant: Facebook, Inc.

Inventor： Ying Zhang ,  Wenhai Yang ,  Ou Jin

IPC: G06N3/08 ,  G06F17/30

CPC classification number: G06N3/08 ,  G06F16/951 ,  G06Q50/01

Abstract: In one embodiment, a method includes accessing an input vector representing an input post, wherein: the vector space comprises clusters each associated with a topic; each cluster was determined based on a clustering of training-page vectors corresponding to training pages that each comprise training posts, each training post submitted by a user to a training page and comprises content selected by the user; and each training-page vector was generated by an ANN that was trained, based on the training posts of training pages associated with the ANN, to receive a post and then output a probability that the received post is related to the training posts of the training pages; determining that the input vector is located within a particular cluster in the vector space; and determining a topic of the input post based on the topic associated with the particular cluster that the input vector is located within.