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公开(公告)号：US20220092061A1
公开(公告)日：2022-03-24
申请号：US17457770
申请日：2021-12-06
Inventor： Yuhan Cheng , Shichen Shao , Yufei Jin
IPC: G06F16/248
Abstract: A method for search in a structured database comprises: receiving a search request input by a user, the search request including a plurality of search terms; searching the plurality of search terms in the structured database where a plurality of documents are stored in a structured manner; displaying at least one search result matching the plurality of search terms, wherein the at least one search result may be at least one document in the plurality of documents; receiving a selection on a search result in the at least one search result and displaying a document corresponding to the selected search result and document hit content, wherein the document hit content comprises at least one word matching the plurality of search terms and a context of the at least one word; and receiving a selection on a word in the at least one word and highlighting the word.
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公开(公告)号：US20220082393A1
公开(公告)日：2022-03-17
申请号：US17533441
申请日：2021-11-23
IPC: G01C21/34
Abstract: A travel recommendation method, an electronic device, and a storage medium are provided, which are related to artificial intelligence, and particularly relates to fields of depth learning, map navigation and the like. The specific implementation scheme includes: obtaining a travel recommendation model according to constraint conditions and prediction conditions, wherein the constraint conditions are used for characterizing travel fairness for different types of users travelling at different moments and in different regions, and the prediction conditions are used for characterizing at least two travel modes selected by the different types of users; and obtaining travel recommendation information according to a travel target and the travel recommendation model.
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公开(公告)号：US20220076476A1
公开(公告)日：2022-03-10
申请号：US17527990
申请日：2021-11-16
Inventor： Xinhang YANG , Ruizhi CHEN
IPC: G06T13/40 , H04N21/2187 , H04N21/2343 , H04N21/44 , H04N21/81
Abstract: A method and apparatus for generating a user avatar, an electronic device, and a computer readable storage medium are provided. The method may include: receiving incoming expression-driven information and a target avatar model being sent when a rate at which an original rendering device renders to obtain a corresponding dynamic avatar is less than a preset rate; driving the target avatar model based on the expression-driven information to generate a dynamic avatar of the user; and pushing the dynamic avatar as a substitute avatar of the user to another user.
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254.发明申请公开(公告)号：US20220076470A1
公开(公告)日：2022-03-10
申请号：US17527068
申请日：2021-11-15
Inventor： Shaoxiong YANG
Abstract: Methods and apparatuses for generating a model and generating a 3D animation, devices, and storage mediums are provided. The method for generating a model may include: acquiring a preset sample set; acquiring pre-established generative adversarial nets, the generative adversarial nets including a generator and a discriminator; and performing training steps as follows: selecting a sample from the sample set; extracting a sample audio feature from the sample audio of the sample; inputting the sample audio feature into the generator to obtain a pseudo 3D mesh vertex sequence of the sample; inputting the pseudo 3D mesh vertex sequence and the real 3D mesh vertex sequence of the sample into the discriminator to discriminate authenticity of 3D mesh vertices; and in response to determining that the generative adversarial nets meet a training completion condition, obtaining a trained generator as a model for generating a 3D animation.
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公开(公告)号：US20220076320A1
公开(公告)日：2022-03-10
申请号：US17530672
申请日：2021-11-19
Inventor： Bingjie HU , Shichen SHAO , Yongheng LI , Yufang ZHANG
Abstract: A content recommendation method, a device, and a storage medium are provided, which are related to technical fields of knowledge graph, big data, and the Internet. The specific implementation scheme includes: determining, among candidate producers, a target producer to whom a private domain content recommendation is performed according to product information of the candidate producers; establishing a recommended product set according to correlation among product information of the target producer; and performing a private domain content recommendation to the target producer based on the recommended product set.
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Patent Agency Ranking
公开(公告)号：US20220059074A1
公开(公告)日：2022-02-24
申请号：US17520799
申请日：2021-11-08
Inventor： Yanyan LI , Dejing DOU
Abstract: A method for evaluating satisfaction with voice interaction, a device, and a storage medium are provided, which are related to a technical field of artificial intelligence, in particular, to fields of natural language processing, knowledge graph and deep learning, and can be applied to user intention understanding. The specific implementation includes: acquiring sample interaction data of a plurality of rounds of sample voice interaction behaviors; performing feature extractions on respective sample interaction data, to obtain a sample interaction feature sequence; acquiring satisfaction marks corresponding to the respective sample interaction data, to obtain a satisfaction mark sequence; and training an initial model by using a plurality of sets of sample interaction feature sequences and of satisfaction mark sequences, to obtain the model for evaluating satisfaction.
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公开(公告)号：US20220036880A1
公开(公告)日：2022-02-03
申请号：US17451380
申请日：2021-10-19
Inventor： Liao Zhang , Zhengxiang Jiang , Xiaoyin Fu
IPC: G10L15/06 , G06F40/30 , G06F40/253
Abstract: The present disclosure provides a method for training a linguistic model, related to fields of speech, natural language processing, deep learning technologies. A method includes: obtaining grammars corresponding to a plurality of sample texts and a slot value of a slot in each grammar by using semantic analysis; generating a grammar graph corresponding to each grammar based on the corresponding grammar and the slot value of the slot in the corresponding grammar; obtaining a weight of each grammar, a weight of each slot, and a weight of each slot value in each grammar graph based on the sample texts; determining at least one grammar frequency of each order based on the weight of each grammar, the weight of each slot, and the weight of each slot value in each grammar graph; and training the linguistic model based on the at least one grammar frequency of each order.
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公开(公告)号：US20220036879A1
公开(公告)日：2022-02-03
申请号：US17500188
申请日：2021-10-13
Inventor： Jiaxiang GE , Zhen WU , Maoren ZHOU , Qiguang ZANG , Ming WEN , Xiaoyin FU
Abstract: A method for mining feature information, an apparatus for mining feature information and an electronic device are disclosed. The method includes: determining a usage scenario of a target device; obtaining raw audio data including real scenario data, speech synthesis data, recorded audio data and other media data; generating target audio data of the usage scenario by simulating the usage scenario based on the raw audio data; and obtaining feature information of the usage scenario by performing feature extraction on the target audio data.
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公开(公告)号：US20220036241A1
公开(公告)日：2022-02-03
申请号：US17501003
申请日：2021-10-14
Inventor： Tianjian He , Dianhai Yu , Zhihua Wu , Daxiang Dong , Yanjun Ma
Abstract: The present disclosure discloses a method, an apparatus and a storage medium for training a deep learning framework, and relates to the artificial intelligence field such as deep learning and big data processing. The specific implementation solution is: acquiring at least one task node in a current task node cluster, that meets a preset opening condition when a target task meets a training start condition; judging whether a number of nodes of the at least one task node is greater than or equal to a preset number; synchronously training the deep learning framework of the target task by the at least one task node according to sample data if the number of nodes is greater than the preset number; and acquiring a synchronously trained target deep learning framework when the target task meets a training completion condition.
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公开(公告)号：US20220036230A1
公开(公告)日：2022-02-03
申请号：US17501755
申请日：2021-10-14
Inventor： Xin WANG , Xuanqiang Zhao , Benchi Zhao , Zihe Wang , Zhixin Song , Renyu Liu
IPC: G06N10/00
Abstract: A quantum entangled state processing method, a device, and a storage medium are provided, which are related to a field of quantum calculation. The specific implementation scheme includes: determining n initial quantum states to be processed; determining at least two nodes associated with the initial quantum state; acquiring at least one first parameterized quantum circuit required by the first node and at least one second parameterized quantum circuit required by the second node matched with a preset processing scenario; controlling, based on an initial quantum operation strategy, the first node to perform a local quantum operation to obtain a first measurement result, controlling the second node to perform a local quantum operation to obtain a second measurement result; obtaining an output quantum state meeting a preset requirement of the preset processing scenario at least based on the first measurement result and the second measurement result.
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