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公开(公告)号：US20180352043A1
公开(公告)日：2018-12-06
申请号：US15942276
申请日：2018-03-30
Inventor： Hao LIU , Kai LIU , Yajuan LYU
Abstract: The present disclosure discloses an artificial intelligence based method and apparatus for pushing news. A specific embodiment of the method includes: determining at least one news subject from a news text of to-be-pushed news; extracting, from the news text, text fragments respectively associated with news subjects; generating, for each of the news subjects, a subject tag based on the extracted text fragment through a deep learning method; and pushing the to-be-pushed news based on the at least one news subject and the generated subject tag. This embodiment may improve the effectiveness of news pushing.
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公开(公告)号：US20210383121A1
公开(公告)日：2021-12-09
申请号：US17115263
申请日：2020-12-08
Inventor： Chengxiang LIU , Hao LIU , Bolei HE
Abstract: A method for generating a tag of a video, an electronic device, and a storage medium are related to a field of natural language processing and deep learning technologies. The detailed implementing solution includes: obtaining multiple candidate tags and video information of the video; determining first correlation information between the video information and each of the multiple candidate tags; sorting the multiple candidate tags based on the first correlation information to obtain a sort result; and generating the tag of the video based on the sort result.
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公开(公告)号：US20210383279A1
公开(公告)日：2021-12-09
申请号：US17445905
申请日：2021-08-25
Inventor： Weijia ZHANG , Hao LIU , Dejing DOU , Hui XIONG
Abstract: Provided are an intelligent recommendation method and apparatus, a model training method and apparatus, an electronic device, and a storage medium, which relate to artificial intelligence technologies, and are applicable to the intelligent recommendation and the intelligent transportation technologies. The intelligent recommendation method includes: determining an object recommendation request; determining, according to a multi-agent strategy model and the object recommendation request, object execution actions of at least two agent objects matching the object recommendation request; determining a target object execution action according to the object execution actions; and recommending the object recommendation request to a target agent object corresponding to the target object execution action.
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Patent Agency Ranking
公开(公告)号：US20210200958A1
公开(公告)日：2021-07-01
申请号：US16938355
申请日：2020-07-24
Inventor： Hao LIU , Bolei HE , Xinyan XIAO
IPC: G06F40/30 , G06F40/289 , G06F40/242 , G06N3/08 , G06N3/04
Abstract: The present disclosure discloses a comment information processing method and apparatus, and a medium. The specific implementation solution is: in response to a user operation, determining an opinion category corresponding to each opinion phrase in a comment opinion dictionary; obtaining a target corpus matching each opinion phrase from a plurality of comment corpora; for each opinion phrase, using a corresponding opinion category to label the target corpus matching each opinion phrase to obtain a first training sample; and training a classification model with the first training sample to identify the opinion category of a comment by using a trained classification model.
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5.发明申请公开(公告)号：US20210233405A1
公开(公告)日：2021-07-29
申请号：US17024421
申请日：2020-09-17
Inventor： Weijia ZHANG , Hao LIU , Hui XIONG
Abstract: The present disclosure provides a parking lot free parking space predicting method and apparatus etc., and relates to the field of artificial intelligence. The method comprises: building a parking lot association graph and an information propagation graph for parking lots in a region to be processed, each junction in the graphs representing a parking lot, and connecting parking lots meeting a predetermined condition through edges; as for any parking lot i without a real-time sensor, determining local space correlation information of parking lot i according to environment context features of the parking lot i and neighboring parking lots which are in the parking lot association graph and connected to the parking lot i through edges; determining free parking space estimation information of the parking lot i according to free parking space information of neighboring parking lots with real-time sensors in the information propagation graph; determining time correlation information of the parking lot i according to the determined two kinds of information, and predicting future free parking space information of the parking lot i according to the information. The solution of the present disclosure may be applied to improve the accuracy of the prediction result.
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6.发明申请公开(公告)号：US20210232986A1
公开(公告)日：2021-07-29
申请号：US17021831
申请日：2020-09-15
Inventor： Hao LIU , Weijia Zhang , Hui Xiong
Abstract: A parking lot free parking space predicting method, apparatus, electronic device and storage medium are provided. The method comprises: building a parking lot association graph for parking lots in a region to be processed, each junction therein representing a parking lot, and connecting any two parking lots meeting a predetermined condition through edges; as for any parking lot i, performing the following processing respectively: determining local space correlation information of the parking lot i at a current time according to environment context features of the parking lot i and neighboring parking lots which are in the parking lot association graph and connected to the parking lot i through edges; determining time correlation information of the parking lot i at the current time according to the local space correlation information, and predicting free parking space information of the parking lot i at at least one future time step according to the time correlation information of the parking lot i at the current time. The solution of the present disclosure may be applied to improve the accuracy of the prediction result.
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公开(公告)号：US20210200949A1
公开(公告)日：2021-07-01
申请号：US16935040
申请日：2020-07-21
Inventor： Can GAO , Hao LIU , Bolei HE , Xinyan XIAO , Hao TIAN
IPC: G06F40/242 , G06F40/279
Abstract: The present disclosure provides a pre-training method for a sentiment analysis model and an electronic device, which relates to a field of artificial intelligence technologies. The method includes: based on a given seed sentiment dictionary, performing sentimental knowledge detection on a training corpus in a training corpus set, and determining a detection sentiment word and a detection word pair of the training corpus; according to preset mask processing rules, performing mask process on the training corpus to generate a masked corpus; performing encoding and decoding on the masked corpus by using a preset encoder and decoder to determine the detection sentiment word and the detection word pair of the training corpus; and updating the preset encoder and decoder according to a difference between prediction sentiment word and the detection sentiment word, and a difference between prediction word pair and the detection word pair.
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公开(公告)号：US20180336193A1
公开(公告)日：2018-11-22
申请号：US15942330
申请日：2018-03-30
Abstract: The present disclosure discloses an artificial intelligence based method and apparatus for generating an article. A specific embodiment of the method comprises: acquiring predetermined structure data for generating an article; generating candidate sentences from the predetermined structure data using a sentence generation model; forming a chapter by splicing candidate sentences selected according to a probability for a sentence containing a preset information point appearing, wherein each time a candidate sentence is selected, candidate sentences relating to the selected candidate sentence are excluded according to a preset exclusion rule; and generating an article based on the chapter formed by splicing, in response to no candidate sentence being available.
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