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公开(公告)号:US11182445B2
公开(公告)日:2021-11-23
申请号:US16054365
申请日:2018-08-03
Inventor: Chen Li , Di Jiang , Xinyu Wang , Yibin Wei , Pu Wang , Jingzhou He
IPC: G06F16/95 , G06F16/9535 , G06N3/08 , G06F16/242 , G06F16/2452 , G06F16/332
Abstract: Embodiments of the present disclosure disclose a method, an apparatus, a server, and a storage medium for recalling for a search. The method for recalling for a search includes: acquiring a search term inputted by a user; calculating a semantic vector of the search term using a pre-trained neural network model; and recalling, according to a pre-established index, target documents related to the semantic vector of the search term from candidate documents, the index being established based on the semantic vectors of the candidate documents, and the semantic vectors of the candidate documents being calculated using the pre-trained neural network model. The embodiments of the present disclosure may solve a problem in the existing method for recalling that the recalling accuracy is affected by failing to generalize semantics, to improve the accuracy of recalling for a search.
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公开(公告)号:US11080492B2
公开(公告)日:2021-08-03
申请号:US16692549
申请日:2019-11-22
Inventor: Zhuobin Deng , Liqun Zheng , Xiyi Luo , Zhihong Fu , Jingzhou He
IPC: G06F40/30 , G06F40/289 , G06N3/04 , G06N3/08
Abstract: A method and device for correcting an error in a text are provided. The method includes: preprocessing the text to obtain at least one segment of the text; generating a plurality of candidate segments for the segment; scoring the plurality of candidate segments with a tree model, to obtain respective first scoring results of the plurality of candidate segments; scoring the plurality of candidate segments with a deep neural network model, to obtain respective second scoring results of the plurality of candidate segments; for each candidate segment, calculating a scoring of the candidate segment based on the first scoring result and the second scoring result of the candidate segment; ranking the plurality of candidate segments according to the scorings of the candidate segments, to obtain a ranking result; and correcting the error in the text according to the ranking result.
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公开(公告)号:US10762150B2
公开(公告)日:2020-09-01
申请号:US15625460
申请日:2017-06-16
Inventor: Xinyu Wang , Di Jiang , Lei Shi , Chen Li , Meng Liao , Jingzhou He
IPC: G06F16/9535 , G06F16/248 , G06F16/2457 , G06N3/04 , G06F7/08 , G06N3/08
Abstract: A searching method and a searching apparatus based on a neural network and a search engine are disclosed, the searching method including: acquiring a query and a pre-query input by a user; acquiring a plurality of search results according to the query; generating a target term vector representation according to the query, the pre-query and the plurality of search results based on an MLP; and forecasting the target term vector representation based on a semantic model of a deep neural network so as to acquire a plurality of s optimized search results corresponding to the query.
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公开(公告)号:US10733197B2
公开(公告)日:2020-08-04
申请号:US15845713
申请日:2017-12-18
Inventor: Jiaxin Lin , Wei Bi , Tixi He , Zhisheng Wang , Yingbin Su , Yuhui Cao , Rui Chen , Zhihui Liu , Yan Zhang , Chao Zhou , Shuo Huang , Jingzhou He , Guyue Zhou , Shiwei Huang , Di Jiang , Lei Shi
IPC: G06F16/2457 , G06F16/248 , G06N3/08 , G06K9/00 , G06K9/62 , G06F16/9535 , G06F16/335 , G06N3/04
Abstract: The present disclosure provides a method and an apparatus for providing information based on artificial intelligence. The method includes: determining a characteristic of interest of the user according to historical access records of the user; and displaying an information card matched with the characteristic of interest in an information displaying interface, the information card including core contents of news matched with the characteristic of interest determined by analyzing news in a database.
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公开(公告)号:US20190057164A1
公开(公告)日:2019-02-21
申请号:US16054559
申请日:2018-08-03
Inventor: Kunsheng Zhou , Shikun Feng , Zhifan Zhu , Jingzhou He
Abstract: The disclosure discloses a search method and apparatus based on artificial intelligence. An embodiment of the method includes: receiving search information entered by a user; determining a candidate to-be-pushed message set based on the search information; predicting a probability of being clicked for a candidate to-be-pushed message in the candidate to-be-pushed message set using a pre-trained scoring model based on the search information and the candidate to-be-pushed message set, the scoring model being obtained by training based on a pre-stored first search information set, a to-be-pushed message set corresponding to a piece of first search information in the first search information set, and a preset priority of a to-be-pushed message in the to-be-pushed message set; and selecting a preset number of the candidate to-be-pushed messages to form a message sequence in descending order of the probability of being clicked, and pushing the message sequence to a terminal of the user.
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