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公开(公告)号：US10453448B2
公开(公告)日：2019-10-22
申请号：US15872903
申请日：2018-01-16
Inventor： Yuan Gao , Daren Li , Dai Dai , Qiaoqiao She
Abstract: Embodiments of the present disclosure provide a method and a device for managing a dialogue based on artificial intelligence. The method includes the followings. An optimum system action is determined from at least one candidate system action according to a current dialogue status feature, a candidate system action feature and surrounding feedback information of the at least one candidate system action and based on a decision model. Since the current dialogue status corresponding to the current dialogue status feature includes uncertain results of natural language understanding, the at least one candidate system action acquired according to the current dialogue status also includes the uncertain results of natural language understanding.
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Patent Agency Ranking
公开(公告)号：US10769133B2
公开(公告)日：2020-09-08
申请号：US16013476
申请日：2018-06-20
Inventor： Chao Qiao , Bo Huang , Daren Li , Qiaoqiao She
IPC: G06F16/00 , G06F16/23 , G06F16/9535 , G06F16/2457 , G06F16/35 , G06F16/55
Abstract: The present disclosure provides a method and apparatus for recognizing a low-quality news resource, a computer device and a readable medium. The method comprises: obtaining information of a to-be-recognized news resource; determining whether the to-be-recognized new resource is a low-quality news resource, according to a pre-built low-quality news information repository and the information of the to-be-recognized news resource. The technical solutions of the present disclosure may be employed to automatically recognize whether the to-be-recognized news resource is the low-quality resource through the information of the to-be-recognized news resource such as the text information and/or pictures, and can overcome technical problems in the prior art such as time-consuming and arduous manual-check manner and a low recognition efficiency due to leakage in checking. Through the above technical solutions, present embodiments may achieve automatic check of the to-be-recognized news resource and thereby substantially shorten the time spent in recognizing the low-quality news resource.
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公开(公告)号：US11645554B2
公开(公告)日：2023-05-09
申请号：US16013162
申请日：2018-06-20
Inventor： Chao Qiao , Bo Huang , Daren Li , Qiaoqiao She
Abstract: A method and apparatus for recognizing a low-quality article based on artificial intelligence, a device and a medium. The method comprises: obtaining a user feedback behavior feature of a to-be-recognized article in a news-recommending system; according to the user feedback behavior feature of the to-be-recognized article and a predetermined low-quality article recognition model, recognizing whether the to-be-recognized article is a low-quality article. Automatically recognizing whether the to-be-recognized article is a low-quality article according to the user feedback behavior feature of the to-be-recognized article and the predetermined low-quality article recognition model, thereby overcoming the technical problem about consumption of time and effects and low recognition efficiency in manually checking whether the to-be-recognized article is a low-quality article in the prior art, not only substantially saving the time spent in recognizing whether the to-be-recognized article is the low-quality article, saving manpower consumed in recognition, improving the recognition efficiency of the low-quality article.
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公开(公告)号：US20190155856A1
公开(公告)日：2019-05-23
申请号：US16234337
申请日：2018-12-27
Inventor： Hao Tian , Daren Li , Bo Huang , Dai Dai , Chengxiang Liu , Anjun Wei , Kexin Ren , Haiguang Yuan
IPC: G06F16/953 , G06F16/33 , G06F16/31 , G06F16/174
Abstract: Embodiments of the present disclosure disclose a method and apparatus for subscribing to a topic. The method includes: matching a persistent topic for a retrieval keyword based on the retrieval keyword of a user combined with at least one of historical behavior or a subscription record of the user; returning the persistent topic to a client for display, so that the user performs subscription; and saving the persistent topic subscribed to by the user, and when a matching resource corresponding to the persistent topic subscribed to by the user is updated, recommending the updated matching resource to the user. Since a recommendation strategy can be timely adjusted according to real-time behavior of a user combined with historical behavior, the probability of hitting a topic of interest to the user is increased.
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公开(公告)号：US11481572B2
公开(公告)日：2022-10-25
申请号：US16001111
申请日：2018-06-06
Inventor： Bo Huang , Daren Li , Qiaoqiao She
IPC: G06K9/62 , G06F16/335 , G06F16/9535
Abstract: The present disclosure provides a method and apparatus for evaluating article value based on artificial intelligence, and a storage medium. The solution of present disclosure may be employed to pre-mine high-quality articles and low-quality articles as training data, and train according to the training data to obtain a value-scoring model. As such, value evaluation needs to be performed for the to-be-evaluated article, it is feasible to first perform feature extraction for the to-be-evaluated article, determine a score of the to-be-evaluated article based on the extracted features and the value-scoring model, and thereby implement effective evaluation of the article value.
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公开(公告)号：US11429680B2
公开(公告)日：2022-08-30
申请号：US16234337
申请日：2018-12-27
Inventor： Hao Tian , Daren Li , Bo Huang , Dai Dai , Chengxiang Liu , Anjun Wei , Kexin Ren , Haiguang Yuan
IPC: G06F16/00 , G06F16/953 , G06F16/33 , G06F16/31 , G06F16/174
Abstract: Embodiments of the present disclosure disclose a method and apparatus for subscribing to a topic. The method includes: matching a persistent topic for a retrieval keyword based on the retrieval keyword of a user combined with at least one of historical behavior or a subscription record of the user; returning the persistent topic to a client for display, so that the user performs subscription; and saving the persistent topic subscribed to by the user, and when a matching resource corresponding to the persistent topic subscribed to by the user is updated, recommending the updated matching resource to the user. Since a recommendation strategy can be timely adjusted according to real-time behavior of a user combined with historical behavior, the probability of hitting a topic of interest to the user is increased.
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