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1.发明申请公开(公告)号：US20200272674A1
公开(公告)日：2020-08-27
申请号：US16795166
申请日：2020-02-19
IPC: G06F16/9536 , G06N3/08 , G06F16/9538 , G06F16/901
Abstract: The present disclosure provides a method and an apparatus for recommending an entity, an electronic device and a computer readable medium. The method includes: determining a request entity, determining at least two characteristics of the request entity and determining a first vector corresponding to the request entity according to the at least two characteristics of the request entity; determining a plurality of candidate entities, determining at least one characteristic for each of the plurality of candidate entities, and determining a second vector corresponding to each of the plurality of candidate entities according to the characteristic of the candidate entity; determining a similarity between the second vector and the first vector; selecting at least one target entity from the plurality of candidate entities according to the similarity between the second vector and the first vector; and recommending the target entity.
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公开(公告)号：US20220027569A1
公开(公告)日：2022-01-27
申请号：US17493375
申请日：2021-10-04
IPC: G06F40/30 , G06N5/02 , G06F16/332 , G06F16/33
Abstract: A method for a semantic retrieval, a device and a storage medium are provided. The method may include: receiving query information, and performing sequence labeling on the query information based on a pre-constructed knowledge graph to obtain a sequence labeling result, where the sequence labeling result includes a predetermined information part of the knowledge graph and a semantic retrieval part; constructing a set of a candidate entity matching the sequence labeling result based on the knowledge graph; and performing sematic matching between an entity in the set of the candidate entity and the semantic retrieval part in the sequence labeling result to obtain a set of an entity having a semantic relevance higher than a preset threshold.
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公开(公告)号：US20200272668A1
公开(公告)日：2020-08-27
申请号：US16790016
申请日：2020-02-13
IPC: G06F16/903 , G06F16/901 , G06F40/242 , G06N5/02
Abstract: The present disclosure provides an error correction method. The error correction method includes: determining a plurality of target candidate entities from a preset dictionary tree based on a query request; for each target candidate entity, calculating a first probability that the target candidate entity is a legitimate entity; evaluating each target candidate entity to obtain an evaluation result, a target candidate entity corresponding to an evaluation result; and determining a real intent entity corresponding to the query request based on the first probability and the evaluation result.
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公开(公告)号：US20200272675A1
公开(公告)日：2020-08-27
申请号：US16795268
申请日：2020-02-19
IPC: G06F16/9536 , G06F16/9538 , G06F16/903 , G06F16/906
Abstract: The present disclosure provides a query processing method. The method includes: determining a query feedback based on a received query request including a character string; determining a target candidate entity set based on the query feedback, the character string and a preset knowledge base; evaluating each target candidate entity in the target candidate entity set to obtain evaluation results; and determining a category of each target candidate entity based on the evaluation result of the target candidate entity.
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