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1.发明公开
公开(公告)号：EP3866028A2
公开(公告)日：2021-08-18
申请号：EP21166280.4
申请日：2021-03-31
发明人： LIU, Huan , CHENG, Mingquan , CHEN, Kunbin , LIU, Zhun , HE, Bolei , HE, Wei
IPC分类号： G06F16/901 , G06F16/906
摘要： Embodiments of the present disclosure disclose a method and apparatus for constructing a quality evaluation model, an electronic device and a computer-readable storage medium. A specific implementation mode of the method comprises: acquiring (201) samples of knowledge contents; extracting (202) statistical features, semantic features, and image features respectively from the samples of knowledge contents; and constructing (203) a quality evaluation model for knowledge according to the statistical features, the semantic features, and the image features. On the basis of the prior art, this implementation mode additionally uses semantic features and image features of knowledge contents to construct a more accurate quality evaluation model based on multi-dimensional features that characterize the actual quality of a knowledge, which may well discover some brief but very useful summary knowledge in an enterprise and may recommend high-quality knowledge more accurately for employees in the enterprise.
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2.发明公开
公开(公告)号：EP4134900A3
公开(公告)日：2023-05-24
申请号：EP22210615.5
申请日：2022-11-30
发明人： XIA, Xiaoling , XU, Wei , CAO, Chengtai , CHEN, Kunbin , HE, Bolei , HE, Wei
IPC分类号： G06Q30/0601 , G06Q30/0251
摘要： The present disclosure provides a method and an apparatus for recommending content, a method and an apparatus for training a ranking model, a device, and a storage medium, which relate to a field of computer technology, in particular to fields of big data, deep learning, and intelligent search technology. A specific implementation solution includes: determining a scenario for recommendation; selecting target sub-models corresponding to the scenario for recommendation from at least two sub-models, where the at least two sub-models include sub-models of at least two dimensions, the sub-models of the at least two dimensions are trained for the at least two dimensions based on general feature data and feature data of the at least two dimensions, the general feature data and the feature data of the at least two dimensions are constructed based on behavior information, and the behavior information includes behavior information of at least two scenarios; and recommending content for the scenario for recommendation by using a combination of the target sub-models. A ranking module for each scenario is not required to be constructed in the present disclosure, so that the model training and the recommendation process is simplified.
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3.发明公开
公开(公告)号：EP4134900A2
公开(公告)日：2023-02-15
申请号：EP22210615.5
申请日：2022-11-30
发明人： XIA, Xiaoling , XU, Wei , CAO, Chengtai , CHEN, Kunbin , HE, Bolei , HE, Wei
IPC分类号： G06Q30/0601 , G06Q30/0251
摘要： The present disclosure provides a method and an apparatus for recommending content, a method and an apparatus for training a ranking model, a device, and a storage medium, which relate to a field of computer technology, in particular to fields of big data, deep learning, and intelligent search technology. A specific implementation solution includes: determining a scenario for recommendation; selecting target sub-models corresponding to the scenario for recommendation from at least two sub-models, where the at least two sub-models include sub-models of at least two dimensions, the sub-models of the at least two dimensions are trained for the at least two dimensions based on general feature data and feature data of the at least two dimensions, the general feature data and the feature data of the at least two dimensions are constructed based on behavior information, and the behavior information includes behavior information of at least two scenarios; and recommending content for the scenario for recommendation by using a combination of the target sub-models. A ranking module for each scenario is not required to be constructed in the present disclosure, so that the model training and the recommendation process is simplified.
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公开(公告)号：EP4113357A1
公开(公告)日：2023-01-04
申请号：EP22185888.9
申请日：2022-07-20
发明人： WAN, Fan , LUO, Jinchang , WANG, Jie , WANG, Haiwei , CHEN, Kunbin , HE, Wei
IPC分类号： G06F40/216 , G06F40/247 , G06F40/284 , G06F40/295
摘要： The disclosure provides a method for recognizing an entity, an apparatus for recognizing an entity, an electronic device and a storage medium, and relates to the field of computer technology, in particular to the field of artificial intelligence technology such as cloud computing, knowledge graph, and natural language processing. The method includes: obtaining message data to be processed; obtaining entity mention information by processing the message data to be processed according to a multi-pattern matching method; determining one or more candidate entities associated with the entity mention information and entity description information corresponding to the one or more candidate entities; and determining a target entity mentioned in the entity mention information according to the message data to be processed and the entity description information.
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公开(公告)号：EP3851977A1
公开(公告)日：2021-07-21
申请号：EP21151532.5
申请日：2021-01-14
发明人： HE, Wei , LI, Shuangjie , SHI, Yabing , JIANG, Ye , ZHANG, Yang , ZHU, Yong
IPC分类号： G06F16/36 , G06F16/901
摘要： The disclosure provides a method and an apparatus for extracting SPO triples, an electronic device, and a storage medium, relates to the field of artificial intelligence technologies. The solution may include: inputting annotated training data into each of multiple extraction models; predicting SPO triples satisfying defined relations in the annotated training data through each of multiple extraction models; combining the predicted SPO triples corresponding to each of multiple extraction models; extracting SPO triples satisfying screening conditions from the combined SPO triples; mining SPO triples with missing annotations from the annotated training data based on the SPO triples satisfying screening conditions, in response to that the SPO triples satisfying screening conditions do not satisfy output conditions; supplementing the SPO triples with missing annotations into the annotated training data; repeating the inputting, predicting, combining, extracting, mining and supplementing until the SPO triples satisfying screening conditions satisfy the output conditions.
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公开(公告)号：EP4033734A3
公开(公告)日：2022-12-14
申请号：EP22175399.9
申请日：2022-05-25
发明人： CAO, Shijie , LI, Yanan , HE, Bolei , CHEN, Kunbin , HE, Wei , HE, Feng
IPC分类号： H04L51/04 , H04L51/216 , H04L51/18 , H04L51/52
摘要： A method and an apparatus for generating an account intimacy and a storage medium are provided, which relates to the fields of deep learning, cloud computing and big data. The method includes: obtaining a set of accounts in an instant messaging (IM) group; obtaining a communication frequency between accounts in the set of accounts within a preset time period; generating a communication network graph based on the communication frequency; obtaining an embedding vector of each account output by a graph model, in which the graph model is trained based on the communication network graph; and generating an intimacy between the accounts based on the embedding vectors. In this way, an account intimacy model is generated independently without binding with a downstream business, and the graph model can be effectively used to mine an association between accounts, so as to improve the intimacy generation accuracy.
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公开(公告)号：EP4033734A2
公开(公告)日：2022-07-27
申请号：EP22175399.9
申请日：2022-05-25
发明人： CAO, Shijie , LI, Yanan , HE, Bolei , CHEN, Kunbin , HE, Wei , HE, Feng
IPC分类号： H04L51/04 , H04L51/216 , H04L51/18 , H04L51/52
摘要： A method and an apparatus for generating an account intimacy and a storage medium are provided, which relates to the fields of deep learning, cloud computing and big data. The method includes: obtaining a set of accounts in an instant messaging (IM) group; obtaining a communication frequency between accounts in the set of accounts within a preset time period; generating a communication network graph based on the communication frequency; obtaining an embedding vector of each account output by a graph model, in which the graph model is trained based on the communication network graph; and generating an intimacy between the accounts based on the embedding vectors. In this way, an account intimacy model is generated independently without binding with a downstream business, and the graph model can be effectively used to mine an association between accounts, so as to improve the intimacy generation accuracy.
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8.发明公开
公开(公告)号：EP3866028A3
公开(公告)日：2021-10-20
申请号：EP21166280.4
申请日：2021-03-31
发明人： LIU, Huan , CHENG, Mingquan , CHEN, Kunbin , LIU, Zhun , HE, Bolei , HE, Wei
IPC分类号： G06F16/36 , G06F16/901 , G06F16/906
摘要： Embodiments of the present disclosure disclose a method and apparatus for constructing a quality evaluation model, an electronic device and a computer-readable storage medium. A specific implementation mode of the method comprises: acquiring (201) samples of knowledge contents; extracting (202) statistical features, semantic features, and image features respectively from the samples of knowledge contents; and constructing (203) a quality evaluation model for knowledge according to the statistical features, the semantic features, and the image features. On the basis of the prior art, this implementation mode additionally uses semantic features and image features of knowledge contents to construct a more accurate quality evaluation model based on multi-dimensional features that characterize the actual quality of a knowledge, which may well discover some brief but very useful summary knowledge in an enterprise and may recommend high-quality knowledge more accurately for employees in the enterprise.
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