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21.
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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22.
公开(公告)号:US20180293507A1
公开(公告)日:2018-10-11
申请号:US15945611
申请日:2018-04-04
Inventor: Rongzhong LIAN , Zeyu CHEN , Di JIANG , Jiajun JIANG , Jingzhou HE
Abstract: Method and apparatus for extracting keywords based on artificial intelligence, a device and readable medium. Based on a topic model, predicting a distribution probability of a target document in each topic among multiple topics; calculating correlation between word vectors of respective words in multiple words of the target document and topic vectors of respective topics in multiple topics, wherein the word vectors of words and topic vectors of respective topics are all generated based on a word vector model; extracting, from the multiple words, words as keywords of the target document, according to distribution probabilities of words in respective topics and the correlation between the word vectors of the respective words and the topic vectors of the respective topics in multiple topics. Keywords are extracted according to the distribution probabilities of words in topics and the correlation between word vectors of words and topic vectors of topics in multiple topics.
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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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