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公开(公告)号：US11556601B2
公开(公告)日：2023-01-17
申请号：US16952940
申请日：2020-11-19
发明人： Miao Fan , Jizhou Huang , Yufan Hou
IPC分类号： G06F16/9535 , G06F16/954 , H04L67/50 , G06K9/62
摘要： A method for sorting geographic location points, a method for training a sorting model and corresponding apparatuses are disclosed, which relates to the technical field of big data. A specific implementation solution is: receiving a query request for geographic location points of a vertical class from a user; inputting candidate geographic location point data of the vertical class into a preference model of the user, to obtain a preference score of the user for each candidate geographic location point; inputting the preference score of the user for each candidate geographic location point into a sorting model as one of sorting features of each candidate geographic location point, to obtain a sorting score of each candidate geographic location point; and determining, according to the sorting score of each candidate geographic location point, a query result returned to the user. The present disclosure can integrate preference factors of a user into sorting when the user queries geographic location points of a vertical class, so that query results can meet the user's personalized needs.
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公开(公告)号：US11521016B2
公开(公告)日：2022-12-06
申请号：US16700593
申请日：2019-12-02
发明人： Miao Fan , Sen Ye , Chao Feng , Mingming Sun , Ping Li , Haifeng Wang
摘要： Embodiments of the present disclosure provide a method for generating an information assessment model, a method for determining the usefulness of comment information, apparatus, electronic device, and computer-readable medium. The method may include: acquiring training samples, the training samples including first sample comment information with a usefulness label and second sample comment information without a usefulness label; acquiring a predictor model and a discriminator model respectively constructed based on a generative network and a discrimination network in a generative adversarial network, and pre-training the predictor model using the first sample comment information, the predictor model being used to predict a usefulness label of a piece of comment information, the discriminator model being used to discriminate authenticity of a usefulness label; and training the predictor model and the discriminator model by iteratively performing a plurality of times of training operations, using the trained predictor model as an information assessment model.
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13.发明申请公开(公告)号：US20220121692A1
公开(公告)日：2022-04-21
申请号：US17285857
申请日：2020-11-25
发明人： Huang Jizhou , Haifeng Wang , Miao Fan
摘要： The present disclosure provides a method, apparatus, device and computer storage medium for retrieving geographic positions, which relates to the field of artificial intelligence. A specific implementation solution is: respectively determining a vector representation of each character in a query by using an international character vector representation dictionary; inputting the vector representations of respective characters in the query into a first neural network to obtain a vector representation of the query; determining a similarity respectively between the vector representation of the query and a vector representation of each geographic position in a map database; determining a retrieved geographic position according to respective similarities; wherein the vector representation of each geographic position is obtained by using the international character vector representation dictionary to determine vector representations of characters in descriptive texts of the geographic positions, and inputting the vector representations of the characters in the descriptive texts of the geographic positions into a second neural network; the international character vector representation dictionary is used to map characters of at least two languages to the same vector space. The present disclosure can better satisfy cross-language geographic position retrieval demands.
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14.发明授权公开(公告)号：US11055374B2
公开(公告)日：2021-07-06
申请号：US16459913
申请日：2019-07-02
发明人： Miao Fan , Zehao Dou , Mingming Sun , Ping Li , Haifeng Wang
IPC分类号： G06F16/9535 , G06F16/2457 , G06K9/62 , G06F16/9038
摘要： The present disclosure provides a method and a device for information retrieval, and a computer readable storage medium. The method includes: determining a plurality of search results associated with user input data, and determining a first relevancy between each of the plurality of search results and the user input data; determining a plurality of target paragraphs associated with the user input data from each of the plurality of search results, and determining a second relevancy between each of the plurality of target paragraphs and the user input data; determining a target text segment associated with the user input data from the plurality of target paragraphs in each of the plurality of search results, and determining a third relevancy between the target text segment and the user input data; and determining an order of the plurality of search results based on the first relevancy, the second relevancy and the third relevancy.
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公开(公告)号：US20200183984A1
公开(公告)日：2020-06-11
申请号：US16706218
申请日：2019-12-06
发明人： Miao Fan , Chao Feng , Mingming Sun , Ping Li , Haifeng Wang
IPC分类号： G06F16/9032 , G06F40/30
摘要： According to embodiments of the present disclosure, a method and an apparatus for responding to a question, and a storage medium are provided. The method includes: determining a question characteristic representation corresponding to a question for an object; determining a comment characteristic representation corresponding to a first comment for the object; generating a first target characteristic representation by utilizing the question characteristic representation and the comment characteristic representation; and determining an answer for the question based on the first target characteristic representation.
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公开(公告)号：US11977589B2
公开(公告)日：2024-05-07
申请号：US15733467
申请日：2019-03-06
发明人： Miao Fan , Jinxing Yu , Zehao Dou , Mingming Sun , Ping Li , Haifeng Wang
IPC分类号： G06F16/953 , G06N5/04 , G06N20/00
CPC分类号： G06F16/953 , G06N5/04 , G06N20/00
摘要： An information search method is provided. The method includes: searching for webpages related to a search request through a search engine; extracting respective texts related to the search request from respective webpages and splicing the texts to obtain a spliced text; obtaining a text segment from the spliced text; and sending the obtained text segment to the search engine, to display the obtained text segment in an information search result through the search engine. The present disclosure can bring great advantages to the search engine in terms of user experience and interaction, and can satisfy user requirements for a function of an intelligent question and answer. Through present disclosure, it is beneficial to directly presenting a short text with higher relevance to the search request to the user, thereby saving time in screening information for the user.
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公开(公告)号：US11756094B2
公开(公告)日：2023-09-12
申请号：US16803943
申请日：2020-02-27
发明人： Miao Fan , Mingming Sun , Ping Li , Haifeng Wang
IPC分类号： G06Q30/0601 , G06F16/2457 , G06F18/21
CPC分类号： G06Q30/0625 , G06F16/24573 , G06F18/2178
摘要： Embodiments of the present disclosure provide a method and a device for evaluating a comment quality, an electronic device, and a computer readable storage medium. The method includes: selecting a metadata key associated with a comment of an object from metadata of the object, the metadata including a plurality of key-value pairs; determining a value corresponding to the metadata key based on the metadata; and evaluating the comment quality based on the comment and the value corresponding to the metadata key.
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公开(公告)号：US20210311953A1
公开(公告)日：2021-10-07
申请号：US17116797
申请日：2020-12-09
发明人： Miao Fan , Tong Zhou , Jizhou Huang
IPC分类号： G06F16/2457 , H04L29/08 , G06F40/289 , G06N20/00 , G06F16/955
摘要： Embodiments of the present disclosure disclose a method and apparatus for pushing information, relate to the field of intelligent search technology. The method can include: performing informatization processing on user comment sentences based on a consensus phrase set, to obtain a candidate recommendation information set, the candidate recommendation information set comprising at least one consensus comment sentence, and the consensus phrase set comprising: a consensus phrase presenting in at least two pieces of user comment sentences; determining a representation vector of each consensus comment sentence in the candidate recommendation information set; and determining, based on the determined representation vector of each consensus comment sentence, an attractiveness ranking position of each consensus comment sentence in the candidate recommendation information set, and pushing information according to the determined attractiveness ranking positions.
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19.发明申请公开(公告)号：US20200380555A1
公开(公告)日：2020-12-03
申请号：US16883076
申请日：2020-05-26
发明人： Miao Fan , Jiacheng Guo , Lin Liu , Lian Zhao , Yue Wang , Mingming Sun , Ping Li , Haifeng Wang
摘要： A method and apparatus for optimizing an Ad CTR estimation model are provided. The method includes: calculating a direction vector and a step vector based on data in a training set, wherein the direction vector and the step vector are associated with a first parameter vector, and the first parameter vector is a parameter vector of the Ad CTR prediction model; calculating an optimized first parameter vector by setting the first parameter vector, the direction vector and the step vector as inputs of an update function, and by using a second parameter vector, wherein the second parameter vector is a parameter vector of the update function; estimating an optimized second parameter vector according to an optimization target in a validation set, the optimization target is determined by using the optimized first parameter vector; updating the optimized first parameter vector by using the optimized second parameter vector.
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