Patent search ap:("Meta Platforms Page Inc.") AND inv:"Kun Han"

1.

发明授权
Content suggestions for content digests for assistant systems 有权

公开(公告)号：US11887359B2

公开(公告)日：2024-01-30

申请号：US17375473

申请日：2021-07-14

Applicant: Meta Platforms, Inc.

Inventor： Zheng Zhou , Kun Han , Fuchun Peng

IPC: G06V10/82 , G10L15/18 , G06F16/33 , G06F16/90 , G06F16/24 , G06F16/95 , G06N20/00 , G06V20/10 , G06F9/451 , G10L15/183 , G10L15/22 , G06F16/338 , G06F16/332 , G06F16/9535 , G06Q50/00 , H04L67/306 , G06F16/176 , G10L15/06 , G10L15/16 , G06F3/01 , G06F16/9032 , G06F16/2457 , H04L51/02 , G06F3/16 , G06N3/08 , G10L15/26 , G06F16/9038 , G06F16/904 , G06F40/30 , G06F40/40 , G06F16/22 , G06F16/23 , G06F7/14 , H04L43/0882 , H04L43/0894 , H04L12/28 , H04L41/00 , H04L41/22 , H04W12/08 , G10L15/07 , G10L17/22 , G06N3/006 , G10L17/06 , G06F16/248 , G06F16/951 , G06F16/242 , G06F16/2455 , G10L15/02 , G10L15/187 , G06V40/20 , G06F40/295 , H04L51/52 , H04L51/216 , H04L67/50 , H04L67/5651 , H04L51/18 , H04L67/75 , G06F16/903 , G06F40/205 , G06F18/2411 , G06N7/01 , G06V10/764 , H04L67/10 , H04L51/046 , G10L13/00 , G10L13/04 , H04L67/53

CPC classification number: G06V10/82 , G06F3/011 , G06F3/013 , G06F3/017 , G06F3/167 , G06F7/14 , G06F9/453 , G06F16/176 , G06F16/2255 , G06F16/2365 , G06F16/243 , G06F16/248 , G06F16/24552 , G06F16/24575 , G06F16/24578 , G06F16/338 , G06F16/3323 , G06F16/3329 , G06F16/3344 , G06F16/904 , G06F16/9038 , G06F16/90332 , G06F16/90335 , G06F16/951 , G06F16/9535 , G06F18/2411 , G06F40/205 , G06F40/295 , G06F40/30 , G06F40/40 , G06N3/006 , G06N3/08 , G06N7/01 , G06N20/00 , G06Q50/01 , G06V10/764 , G06V20/10 , G06V40/28 , G10L15/02 , G10L15/063 , G10L15/07 , G10L15/16 , G10L15/183 , G10L15/187 , G10L15/1815 , G10L15/1822 , G10L15/22 , G10L15/26 , G10L17/06 , G10L17/22 , H04L12/2816 , H04L41/20 , H04L41/22 , H04L43/0882 , H04L43/0894 , H04L51/02 , H04L51/18 , H04L51/216 , H04L51/52 , H04L67/306 , H04L67/535 , H04L67/5651 , H04L67/75 , H04W12/08 , G06F2216/13 , G10L13/00 , G10L13/04 , G10L2015/223 , G10L2015/225 , H04L51/046 , H04L67/10 , H04L67/53

Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, from a client system via an assistant xbot, a first audio input from a user, parsing the first audio input to identify a request for a content digest from an online social network, retrieving a plurality of content objects from the online social network, each of the content objects being accessible by the user, generating a customized newsfeed summary based on a determined semantical meaning of each of the plurality of content objects, and sending, to the client system via the assistant xbot, instructions for presenting an audio clip to the user responsive to the request for the content digest, wherein the audio clip comprises the customized newsfeed summary.

2.

发明授权
Engaging users by personalized composing-content recommendation 有权

公开(公告)号：US11651586B2

公开(公告)日：2023-05-16

申请号：US17224487

申请日：2021-04-07

Applicant: Meta Platforms, Inc.

Inventor： Fuchun Peng , Kun Han , Wenhai Yang , Cheng Zhang , Vivek Narayanan , Emmanouil Koukoumidis

IPC: G06F16/90 , G06F16/332 , G06F9/451 , G10L15/18 , G10L15/183 , G10L15/22 , G06F16/338 , G06F16/33 , G06N20/00 , G06F16/9535 , G06Q50/00 , H04L67/306 , G06F16/176 , G10L15/06 , G10L15/16 , G06F3/01 , G06F16/9032 , G06F16/2457 , H04L51/02 , G06F3/16 , G06K9/62 , G06N3/08 , G10L15/26 , G06F16/9038 , G06F16/904 , G06F40/30 , G06F40/40 , G06F16/22 , G06F16/23 , G06F7/14 , H04L43/0882 , H04L43/0894 , H04L12/28 , H04L41/00 , H04L41/22 , H04W12/08 , G10L15/07 , G10L17/22 , G06N3/006 , G10L17/06 , G06F16/248 , G06F16/951 , G06F16/242 , G06F16/2455 , G10L15/02 , G10L15/187 , G06V20/10 , G06V40/20 , G06F40/295 , H04L51/52 , H04L51/216 , H04L67/50 , H04L67/5651 , G06N7/00 , H04L51/18 , H04L67/75 , G06F16/903 , G06F40/205 , H04L67/10 , H04L51/046 , G10L13/00 , G10L13/04 , H04L67/53

CPC classification number: G06F16/3329 , G06F3/011 , G06F3/013 , G06F3/017 , G06F3/167 , G06F7/14 , G06F9/453 , G06F16/176 , G06F16/2255 , G06F16/2365 , G06F16/243 , G06F16/248 , G06F16/24552 , G06F16/24575 , G06F16/24578 , G06F16/338 , G06F16/3323 , G06F16/3344 , G06F16/904 , G06F16/9038 , G06F16/90332 , G06F16/90335 , G06F16/951 , G06F16/9535 , G06F40/205 , G06F40/295 , G06F40/30 , G06F40/40 , G06K9/6269 , G06N3/006 , G06N3/08 , G06N7/005 , G06N20/00 , G06Q50/01 , G06V20/10 , G06V40/28 , G10L15/02 , G10L15/063 , G10L15/07 , G10L15/16 , G10L15/183 , G10L15/187 , G10L15/1815 , G10L15/1822 , G10L15/22 , G10L15/26 , G10L17/06 , G10L17/22 , H04L12/2816 , H04L41/20 , H04L41/22 , H04L43/0882 , H04L43/0894 , H04L51/02 , H04L51/18 , H04L51/216 , H04L51/52 , H04L67/306 , H04L67/535 , H04L67/5651 , H04L67/75 , H04W12/08 , G06F2216/13 , G10L13/00 , G10L13/04 , G10L2015/223 , G10L2015/225 , H04L51/046 , H04L67/10 , H04L67/53

Abstract: In one embodiment, a method includes receiving an indication of a trigger action by a first user at a client system, wherein the trigger action is associated with a priming content object, identifying related content objects associated with the priming content object, selecting recommended content objects based on the priming content object, the related content objects, and profile information of the first user, wherein each of the selected recommended content objects comprises entity information of entities associated with the priming content object, and presenting content suggestions at the client system, wherein each content suggestion comprises one of the selected recommended content objects.

3.

发明授权
Combining machine-learning and social data to generate personalized recommendations 有权

公开(公告)号：US11514333B2

公开(公告)日：2022-11-29

申请号：US15966203

申请日：2018-04-30

Applicant: Meta Platforms, Inc.

Inventor： Kun Han , Fuchun Peng , Benoit Dumoulin , Bo Zeng

IPC: G06N5/02 , G06N20/00 , G06F16/2457

Abstract: A computing device receives a message including a request for a recommendation. A representation of a hypothetical ideal recommendation to provide in response to the message is determined based on the message content. Data regarding entities that are potential recommendations are retrieved from a data store, the data regarding each entity including a representation of the entity (e.g., a vector) derived from factual information about the entity and opinions of other users of the entity. Ranking scores are determined for at least a subset of the entities based on the difference between the entity representations and the representation of the hypothetical ideal recommendation. An entity to recommend is selected based on the ranking scores and a reply to the message is sent that identifies the selected entity.