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公开(公告)号：US11144826B2
公开(公告)日：2021-10-12
申请号：US15855946
申请日：2017-12-27
Applicant: Facebook, Inc.
Inventor： Ying Zhang , Wenhai Yang , Ou Jin
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.
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公开(公告)号：US10762438B1
公开(公告)日：2020-09-01
申请号：US15199915
申请日：2016-06-30
Applicant: Facebook, Inc.
Inventor： Ying Zhang , Irina-Elena Veliche , Benoit F. Dumoulin , Aram Grigoryan , Wenhai Yang
Abstract: A system for answering user questions can provide answers from a knowledge base that stores question/answer pairs. These pairs can be associated with characteristics of the asking user so that, when subsequent users ask similar questions, answers can be selected that have been identified as most relevant to that type of user. The question/answer pairs in the knowledge base can be identified from social media posts where the original post contains a question and one or more comments on the post provide an answer. Posts can be identified as containing a question using a question classification model. A post comment can be identified as an answer based on: whether the question poster responded positively to the comment, whether the comment has similar keywords to the question, whether the comment has the characteristics of an answer, and how often a similar answer has been provided for similar questions.
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公开(公告)号：US10657332B2
公开(公告)日：2020-05-19
申请号：US15850382
申请日：2017-12-21
Applicant: Facebook, Inc.
Inventor： Ying Zhang , Reshef Shilon , Jing Zheng
IPC: G06F40/49 , G06F16/35 , G06F40/30 , G06F40/44 , G06F40/58 , G06F40/216 , G06F40/284
Abstract: Exemplary embodiments relate to techniques to classify or detect the intent of content written in a language for which a classifier does not exist. These techniques involve building a code-switching corpus via machine translation, generating a universal embedding for words in the code-switching corpus, training a classifier on the universal embeddings to generate an embedding mapping/table; accessing new content written in a language for which a specific classifier may not exist, and mapping entries in the embedding mapping/table to the universal embeddings. Using these techniques, a classifier can be applied to the universal embedding without needing to be trained on a particular language. Exemplary embodiments may be applied to recognize similarities in two content items, make recommendations, find similar documents, perform deduplication, and perform topic tagging for stories in foreign languages.
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公开(公告)号：US10511933B2
公开(公告)日：2019-12-17
申请号：US15728723
申请日：2017-10-10
Applicant: Facebook, Inc.
Inventor： Ying Zhang , Wei Zhang , Nicolas Scheffer , Richard Calvi , Xiaohua Yan
IPC: H04W4/021 , H04L29/08 , G06F16/9535 , G06F16/9032 , H04W4/21 , G06Q30/02 , G06Q50/00
Abstract: In one embodiment, a social-networking system may receive, from a client system of a first user of the online social network, an indication that the first user is accessing a travel-recommendation interface, receive an indication of a first geographic location, and identify one or more second geographic locations within a threshold distance from the first geographic location, the one or more second geographic locations being determined based on a travel-recommendation model associated with the first user. The social-networking system may generate one or more travel recommendations comprising at least one of the identified one or more second geographic locations, and send, to the client system of the first user, instructions for presenting the travel-recommendation interface, wherein the travel-recommendation interface comprises a map labeling one or more of the second geographic locations representing the travel recommendations.
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公开(公告)号：US20190197315A1
公开(公告)日：2019-06-27
申请号：US15850697
申请日：2017-12-21
Applicant: Facebook, Inc.
Inventor： Ying Zhang , Shengbo Guo
CPC classification number: G06K9/00751 , G06F3/048 , G06F17/241 , G06K9/00456 , G06Q50/01
Abstract: Exemplary embodiments relate to the automatic generation of captions for visual media in the form of a consistent story or narrative. According to some embodiments, story generation may be applied to a live video. As a user records live video, a system may analyze metadata, the frames of the video, and/or the audio to extract context information. The system may integrate this information with information from the user's social network and a personalized language model built using public-facing language from the user. The system may generate multiple captions for the video, where subsequent captions are based at least partially on previous captions. Captions may be generated in a story format so as to be consistent with each other. Information that is inconsistent with the story may be excluded from the captions unless contextual factors indicate that the story should change subject.
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Patent Agency Ranking
公开(公告)号：US20190197187A1
公开(公告)日：2019-06-27
申请号：US15855521
申请日：2017-12-27
Applicant: Facebook, Inc.
Inventor： Ying Zhang , Yun Lei
Abstract: In one embodiment, a method includes receiving a video file. The video file includes a corresponding audio stream. The method further includes accessing the audio stream, and generating, based on the audio stream, a representative vector. The vector has a particular number of dimensions. The method further includes accessing a label-embedding space, which has the same particular number of dimensions, and includes a number of regions that each correspond to a respective label. The method further includes determining a region of the label-embedding space that corresponds to the vector, the determined region corresponding to a particular label. The method further includes associating the particular label with the video file.
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公开(公告)号：US20190141004A1
公开(公告)日：2019-05-09
申请号：US16180852
申请日：2018-11-05
Applicant: Facebook, Inc.
Inventor： Matthias Eck , Necip Fazil Ayan , Ying Zhang , Kay Rottman , Lukasz Langa
IPC: H04L12/58
Abstract: The present disclosure is directed toward systems and methods for providing translations of electronic messages via a social networking system. For example, systems and methods described herein involve determining whether to provide an electronic message or a translation of the electronic message to a recipient based on social networking activities of the recipient. Furthermore, systems and methods described herein can provide a translation of an electronic message based on an analysis of social networking activities of one or more recipients of the electronic message.
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公开(公告)号：US20190005393A1
公开(公告)日：2019-01-03
申请号：US15636390
申请日：2017-06-28
Applicant: Facebook, Inc.
Inventor： Shengbo Guo , Mark Warren McDuff , Yixian Zhu , Ying Zhang , James Li , Sara Lee Su
Abstract: Systems, methods, and non-transitory computer readable media are configured to receive a uniform resource locator. A time and one or more features associated with the uniform resource locator can be provided to a first machine learning model. A prediction relating to a quantity of views the uniform resource locator achieves by the time can be received from the first machine learning model.
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公开(公告)号：US10122670B2
公开(公告)日：2018-11-06
申请号：US14588078
申请日：2014-12-31
Applicant: FACEBOOK, INC.
Inventor： Matthias Eck , Necip Fazil Ayan , Ying Zhang , Kay Rottman , Lukasz Langa
IPC: H04L12/58
Abstract: The present disclosure is directed toward systems and methods for providing translations of electronic messages via a social networking system. For example, systems and methods described herein involve determining whether to provide an electronic message or a translation of the electronic message to a recipient based on social networking activities of the recipient. Furthermore, systems and methods described herein can provide a translation of an electronic message based on an analysis of social networking activities of one or more recipients of the electronic message.
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公开(公告)号：US10114819B2
公开(公告)日：2018-10-30
申请号：US15192109
申请日：2016-06-24
Applicant: Facebook, Inc.
Inventor： Ying Zhang , Fei Huang , Kay Rottmann , Necip Fazil Ayan
Abstract: Exemplary embodiments relate to techniques for improving a machine translation system. The machine translation system may include one or more models for generating a translation. The system may generate multiple candidate translations, and may present the candidate translations to different groups of users, such as users of a social network. User engagement with the different candidate translations may be measured, and the system may determine which of the candidate translations was most favored by the users. For example, in the context of a social network, the number of times that the translation is liked or shared, or the number of comments associated with the translation, may be used to determine user engagement with the translation. The models of the machine translation system may be modified to favor the most-favored candidate translation. The translation system may repeat this process to continue to tune the models in a feedback loop.
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