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公开(公告)号：US20210406480A1
公开(公告)日：2021-12-30
申请号：US17475073
申请日：2021-09-14
Inventor： Fan WANG , Siqi BAO , Xinxian HUANG , Hua WU , Jingzhou HE
IPC: G06F40/40 , G06F16/33 , G06F16/332 , G06N7/00
Abstract: The disclosure discloses a method for generating a conversation, an electronic device, and a storage medium. The detailed implementation includes: obtaining a current conversation and historical conversations of the current conversation; selecting multiple reference historical conversations from the historical conversations and adding the multiple reference historical conversations to a temporary conversation set; and generating reply information of the current conversation based on the current conversation and the temporary conversation set.
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2.发明申请公开(公告)号：US20190004518A1
公开(公告)日：2019-01-03
申请号：US16020340
申请日：2018-06-27
Abstract: The present disclosure provides a method and system for training an unmanned aerial vehicle control model based on artificial intelligence. The method comprises: obtaining training data by using sensor data and target state information of the unmanned aerial vehicle and state information of the unmanned aerial vehicle under action of control information output by a deep neural network; training the deep neural network with the training data to obtain an unmanned aerial vehicle control model, the unmanned aerial vehicle control model being used to obtain the control information of the unmanned aerial vehicle according to the senor data and target state information of the unmanned aerial vehicle.
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公开(公告)号：US20210200957A1
公开(公告)日：2021-07-01
申请号：US16895297
申请日：2020-06-08
Inventor： Siqi BAO , Huang HE , Junkun CHEN , Fan WANG , Hua WU , Jingzhou HE
IPC: G06F40/30
Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating a dialogue model. The method may include: acquiring a corpus sample set, a corpus sample including input information and target response information; classifying corpus samples in the corpus sample set, setting discrete hidden variables for the corpus samples based on a classification result to generate a training sample set, a training sample including the input information, the target response information, and a discrete hidden variable; and training a preset neural network using the training sample set to obtain the dialogue model, the dialogue model being used to represent a corresponding relationship between inputted input information and outputted target response information.
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4.发明申请公开(公告)号：US20180364054A1
公开(公告)日：2018-12-20
申请号：US16008639
申请日：2018-06-14
Inventor： Mengting CHEN , Huasheng LIANG , Fan WANG , Bo ZHOU
CPC classification number: G01C21/343 , G01C21/3476 , G01C21/3492 , G01C21/3605 , G06N3/006 , G06N3/02 , G06N3/0454 , G06N3/08 , G06N5/022 , G06Q10/06
Abstract: The present disclosure provides a method and apparatus for building an itinerary-planning model and planning a traveling itinerary, wherein the method for building the itinerary-planning model comprises: obtaining a travel route with a known travel demand; training a deep learning model by regarding the travel demand, a set of candidate scenic spots determined by using the travel demand and the travel route corresponding to the travel demand as training samples, to obtain the itinerary-planning model; the itinerary-planning model is configured to use the travel demand to obtain a corresponding travel route. The method of planning a travelling itinerary comprises: obtaining the user's travel demand; according to the user's travel demand, obtaining a set of candidate scenic spots corresponding to the travel demand; inputting the user's travel demand and the set of candidate scenic spots into an itinerary-planning model, to obtain a travel route obtained by the itinerary-planning model.
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5.发明申请公开(公告)号：US20210397901A1
公开(公告)日：2021-12-23
申请号：US17083704
申请日：2020-10-29
Inventor： Lihang LIU , Xiaomin FANG , Fan WANG , Jingzhou HE
IPC: G06K9/62 , G06N20/00 , G06F16/9535
Abstract: A method and apparatus for optimizing a recommendation system, a device and a computer storage medium are described, which relates to the technical field of deep learning and intelligent search in artificial intelligence. A specific implementation solution is: taking the recommendation system as an agent, a user as an environment, each recommended content of the recommendation system as an action of the agent, and a long-term behavioral revenue of the user as a reward of the environment; and optimizing to-be-optimized parameters in the recommendation system by reinforcement learning to maximize the reward of the environment. The present disclosure can effectively optimize long-term behavioral revenues of users.
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Patent Agency Ranking
公开(公告)号：US20210383797A1
公开(公告)日：2021-12-09
申请号：US17411917
申请日：2021-08-25
Inventor： Fan WANG , Siqi BAO , Huang HE , Hua WU , Jingzhou HE , Haifeng WANG
Abstract: A method for dialogue processing, an electronic device and a storage medium are provided. The specific technical solution includes: obtaining a dialogue history; selecting a target machine from a plurality of machines; inputting the dialogue history into a trained dialogue model in the target machine to generate a response to the dialogue history, in which the dialogue model comprises a common parameter and a specific parameter, and different machines correspond to the same common parameter.
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公开(公告)号：US20180322516A1
公开(公告)日：2018-11-08
申请号：US15934463
申请日：2018-03-23
Inventor： Xiaomin FANG , Zeheng WU , Fan WANG , Jingzhou HE
CPC classification number: G06Q30/0202 , G06F15/18 , G06N3/02 , G06Q30/0201
Abstract: Embodiments of the present disclosure provide a quality evaluation method, apparatus and device, and a computer readable storage medium. The method includes: obtaining basic information of a target object before a preset time point; dividing the basic information to obtain a relation combination of divisible attributes and leaf attributes, in which, any one of the divisible attribute may be served as a parent node of another divisible attribute and/or a leaf attribute; and performing a quality evaluation according to the relation combination to obtain an evaluation result.
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公开(公告)号：US20170255879A1
公开(公告)日：2017-09-07
申请号：US15392017
申请日：2016-12-28
Inventor： Li CHEN , Qian XU , Hao TIAN , Jingzhou HE , Lei SHI , Fan WANG , Shiwei HUANG , Derong ZHENG
CPC classification number: G06N20/00 , G06F16/90335 , G06F16/904 , G06N7/005
Abstract: A searching method and device based on artificial intelligence is provided in the present disclosure. The searching method includes: obtaining a query; obtaining a first search result corresponding to the query according to a Markov Decision Process MDP model; displaying the first search result; and obtaining a reward for the first search result from a user so as to obtain a second search result according to the MDP model, and displaying the second search result. According to the searching method, the interaction with the user may be more effective, the user's demand is better satisfied, and the user experience is improved.
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公开(公告)号：US20170242848A1
公开(公告)日：2017-08-24
申请号：US15384089
申请日：2016-12-19
Inventor： Fan WANG
IPC: G06F17/28
CPC classification number: G06F17/2872 , G06F17/271 , G06F17/2854 , G06F17/2863 , G06F17/289 , G10L15/20
Abstract: The present disclosure presents a directional translation method and a directional translation apparatus based on artificial intelligence. The method includes: receiving directional translation information that is set by a user for translating a first word in a translation file into a second word; and translating the first word in the translation file into the second word. With the directional translation method and the directional translation apparatus based on artificial intelligence provided in the present disclosure, the word is translated directionally into a result needed, thereby improving accuracy and efficiency of translation.
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公开(公告)号：US20210194977A1
公开(公告)日：2021-06-24
申请号：US16891822
申请日：2020-06-03
Inventor： Xiaomin FANG , Yaxue CHEN , Lihang LIU , Lingke ZENG , Fan WANG , Jingzhou HE
Abstract: Embodiment of the disclosure provide a method and apparatus for generating information. The method includes: acquiring vectors of a plurality of users, the vector being used to characterize behavior habits of the users; inputting the vectors of the plurality of users and push information pushed by a push system to the plurality of users into a feedback information generating model established in advance, to generate the feedback information of the plurality of users for the push information, wherein the feedback information generating model is used to characterize a corresponding relationship between the vectors, the push information and the feedback information; and generating an evaluation report of the push system based on the feedback information.
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