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    Engaging Users by Personalized Composing-Content Recommendation
    2.
    发明申请
    Engaging Users by Personalized Composing-Content Recommendation 有权

    公开(公告)号：US20210224346A1

    公开(公告)日：2021-07-22

    申请号：US17224487

    申请日：2021-04-07

    Applicant: Facebook, Inc.

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

    IPC: G06F16/9535 ,  G06F16/2457 ,  G06N20/00 ,  G06F16/248

    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.

    Engaging users by personalized composing-content recommendation
    3.
    发明授权
    Engaging users by personalized composing-content recommendation 有权

    公开(公告)号：US11010436B1

    公开(公告)日：2021-05-18

    申请号：US15967279

    申请日：2018-04-30

    Applicant: Facebook, Inc.

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

    IPC: G06F16/24 ,  G06F16/9535 ,  G06N20/00 ,  G06F16/248 ,  G06F16/2457 ,  H04L29/08

    Abstract: In one embodiment, a method includes receiving an indication of a trigger action by a first user, wherein the trigger action is associated with a priming content object, identifying one or more related content objects associated with the priming content object, generating a first feature vector representing the priming content object, the one or more related content objects, and profile information of the first user, accessing a plurality of second feature vectors representing a plurality of recommended content objects, respectively, selecting one or more of the recommended content objects based on comparisons between the first feature vector and the respective second feature vectors representing the recommended content objects, and sending, to a client system in response to the trigger action, instructions for presenting one or more content suggestions to the first user, wherein each content suggestion comprises one of the selected recommended content objects.

    Content Suggestions for Content Digests for Assistant Systems
    5.
    发明申请
    Content Suggestions for Content Digests for Assistant Systems 有权

    公开(公告)号：US20210342410A1

    公开(公告)日：2021-11-04

    申请号：US17375473

    申请日：2021-07-14

    Applicant: Facebook, Inc.

    Inventor： Zheng Zhou ,  Kun Han ,  Fuchun Peng

    IPC: G06F16/9535 ,  G06F16/2457 ,  G06F16/248 ,  G06F16/28 ,  G06N3/08

    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.

    COMBINING MACHINE-LEARNING AND SOCIAL DATA TO GENERATE PERSONALIZED RECOMMENDATIONS
    6.
    发明申请
    COMBINING MACHINE-LEARNING AND SOCIAL DATA TO GENERATE PERSONALIZED RECOMMENDATIONS 审中-公开

    公开(公告)号：US20190332946A1

    公开(公告)日：2019-10-31

    申请号：US15966203

    申请日：2018-04-30

    Applicant: Facebook, Inc.

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

    IPC: G06N5/02 ,  G06N99/00 ,  G06F17/30

    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.

    APPLYING TEMPLATES TO CUSTOMIZE PRESENTATION OF CONTENT BASED ON SURFACE TYPE
    7.
    发明申请
    APPLYING TEMPLATES TO CUSTOMIZE PRESENTATION OF CONTENT BASED ON SURFACE TYPE 审中-公开

    公开(公告)号：US20190332709A1

    公开(公告)日：2019-10-31

    申请号：US15966494

    申请日：2018-04-30

    Applicant: Facebook, Inc.

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

    IPC: G06F17/30 ,  G06F17/24

    Abstract: An online system receives a request to generate presentation content for presentation to a user. The online system receives a set of content items and identifies a surface for presenting the presentation information to the user. For example, the surface may be a voice only surface, a voice and graphical display, a graphical display only. Based on the identified surface, the online system ranks the set of content items. The online system then determines presentation information for a subset of the content items and transmits instructions to present the presentation information at the surface.

    Generating Personalized Content Summaries for Users
    8.
    发明申请
    Generating Personalized Content Summaries for Users 审中-公开

    公开(公告)号：US20190325084A1

    公开(公告)日：2019-10-24

    申请号：US15967290

    申请日：2018-04-30

    Applicant: Facebook, Inc.

    Inventor： Fuchun Peng ,  Fei Sha ,  Kun Han ,  Wenhai Yang ,  Anuj Kumar ,  Michael Robert Hanson ,  Benoit F. Dumoulin

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

    Abstract: In one embodiment, a method includes receiving a user request for a summarization of a particular type of content objects from a client system associated with a first user, determining one or more modalities associated with the user request, selecting a plurality of content objects of the particular type based on a user profile of the first user, wherein the user profile comprises one or more confidence scores associated with one or more subjects associated with the first user, respectively, and wherein the plurality of content objects are selected based on the one or more confidence scores, generating a summary of each content object based on the user profile and the determined modalities, and sending, to the client system in response to the user request, instructions for presenting the summaries of the plurality of content objects, wherein the summaries are presented via one or more of the determined modalities.

    Content suggestions for content digests for assistant systems
    9.
    发明授权
    Content suggestions for content digests for assistant systems 有权

    公开(公告)号：US11100179B1

    公开(公告)日：2021-08-24

    申请号：US16103775

    申请日：2018-08-14

    Applicant: Facebook, Inc.

    Inventor： Zheng Zhou ,  Kun Han ,  Fuchun Peng

    IPC: G06F16/953 ,  G06F16/9535 ,  G06N3/08 ,  G06F16/248 ,  G06F16/28 ,  G06F16/2457

    Abstract: In one embodiment, a method includes, by one or more computing systems, receiving a request from a 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, determining a semantical-embedding for each retrieved content object based on a query model, determining one or more categories for each retrieved content object, generating a set of content suggestions for each retrieved content object based on the one or more categories associated with the content object and the semantical-embedding of the content object, ranking for each retrieved content object, the one or more content suggestions in the respective set based on a comparison of a semantical-embedding associated with each content suggestion to the semantical-embedding of the content object, and sending instructions for presenting the content digest to the user.

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