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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:US20180150561A1
公开(公告)日:2018-05-31
申请号:US15625460
申请日:2017-06-16
Inventor: Xinyu WANG , Di JIANG , Lei SHI , Chen LI , Meng LIAO , Jingzhou HE
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:US20180181628A1
公开(公告)日:2018-06-28
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
CPC classification number: G06F16/248 , G06F16/2457 , G06F16/337 , G06F16/9535 , G06K9/00442 , G06K9/627 , G06N3/0427 , G06N3/08
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:US20180121434A1
公开(公告)日:2018-05-03
申请号:US15625379
申请日:2017-06-16
Inventor: Di JIANG , Lei SHI , Zeyu CHEN , Jiajun JIANG , Rongzhong LIAN
CPC classification number: G06F16/24578 , G06F16/3334 , G06F16/3347 , G06F17/16 , G06N3/02 , G06N3/08
Abstract: A method and an apparatus for recalling a search result based on a neural network are provided, the method comprising: receiving a query and collecting a plurality of search results corresponding to the query; acquiring a first feature vector corresponding to the query, and acquiring second feature vectors corresponding to titles of the plurality of search results respectively; acquiring similarities between the first feature vector and the second feature vectors respectively, and acquiring semantic matching scores between the query and the plurality of search results respectively according to the similarities; and determining at least one target search result from the plurality of search results according to the semantic marching scores, wherein the at least one target search result is regarded as the search result recalled according to the query.
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公开(公告)号:US20190163737A1
公开(公告)日:2019-05-30
申请号:US16306488
申请日:2016-12-22
Inventor: Kunsheng ZHOU , Jingzhou HE , Lei SHI , Shikun FENG
Abstract: Disclosed are a method and an apparatus for constructing a binary feature dictionary. The method may include: extracting binary features from a corpus; calculating a preset statistic of each binary feature; and selecting a preset number of binary features in sequence according to the preset statistic to constitute the binary feature dictionary.
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