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公开(公告)号：EP4113387A2
公开(公告)日：2023-01-04
申请号：EP22192187.7
申请日：2022-08-25
发明人： SHI, Hongjian , FENG, Xinwei , LI, Feifei , GUO, Chenyang , WU, Xueqian , TIAN, Meng , SUN, Yu
IPC分类号： G06N3/04 , G06N3/08 , G06F16/9038
摘要： The present disclosure provides a search method based on a neural network model, the neural network model including a semantic representation model, a recall model, and a ranking model, and relates to the field of artificial intelligence, and in particular to the technical field of search. An implementation is: inputting a target search and a plurality of objects to be matched to the semantic representation model to obtain a first output of the semantic representation model, where the first output has a semantic understanding representation of recall and ranking; inputting the first output of the semantic representation model to the recall model, and obtaining at least one recall object matching the target search from the plurality of objects to be matched by using the recall model; and inputting a second output of the semantic representation model to the ranking model, and obtaining a matching value of each of the at least one recall object by using the ranking model, where the second output of the semantic representation model is obtained based on the input target search and the at least one recall object.
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公开(公告)号：EP4113387A3
公开(公告)日：2023-03-01
申请号：EP22192187.7
申请日：2022-08-25
发明人： SHI, Hongjian , FENG, Xinwei , LI, Feifei , GUO, Chenyang , WU, Xueqian , TIAN, Meng , SUN, Yu
IPC分类号： G06N3/042 , G06N3/09 , G06N3/045 , G06F16/9038
摘要： The present disclosure provides a search method based on a neural network model, the neural network model including a semantic representation model, a recall model, and a ranking model, and relates to the field of artificial intelligence, and in particular to the technical field of search. An implementation is: inputting a target search and a plurality of objects to be matched to the semantic representation model to obtain a first output of the semantic representation model, where the first output has a semantic understanding representation of recall and ranking; inputting the first output of the semantic representation model to the recall model, and obtaining at least one recall object matching the target search from the plurality of objects to be matched by using the recall model; and inputting a second output of the semantic representation model to the ranking model, and obtaining a matching value of each of the at least one recall object by using the ranking model, where the second output of the semantic representation model is obtained based on the input target search and the at least one recall object.
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