公开(公告)号：US11531867B2

公开(公告)日：2022-12-20

申请号：US16850549

申请日：2020-04-16

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Ruiming Tang ,  Minzhe Niu ,  Yanru Qu ,  Weinan Zhang ,  Yong Yu

IPC: G06N3/04 ,  G06F17/16 ,  G06K9/62 ,  G06N3/063

Abstract: Example user behavior prediction methods and apparatus are described. One example method includes obtaining a first contribution value of each piece of characteristic data for a specified behavior after obtaining behavior prediction information including a plurality of pieces of characteristic data. Every N pieces of characteristic data in the plurality of pieces of characteristic data may be processed by using one corresponding characteristic interaction model, to obtain a second contribution value of the every N pieces of characteristic data for the specified behavior. Finally, an execution probability of executing the specified behavior by a user may be determined based on the obtained first contribution value and the obtained second contribution value, to predict a user behavior. In the example method, interaction impact of the plurality of pieces of characteristic data on the specified behavior is considered during behavior prediction.

公开(公告)号：US10516502B2

公开(公告)日：2019-12-24

申请号：US15631343

申请日：2017-06-23

Applicant: Huawei Technologies Co., Ltd.

Inventor： Longyu Cao ,  Yong Yu ,  Zhiming Li

IPC: G06F11/07 ,  H04L1/00 ,  H04L12/18 ,  H04N21/637 ,  H04L29/06

Abstract: A file repair method includes receiving, by a broadcast/multicast service center, a file repair request message sent by user equipment, where the file repair request message includes a Uniform Resource Identifier (URI) corresponding to file data to be repaired and a transmit session identifier of a File Delivery over Unidirectional Transport FLUTE session that transmits the file data. The method further includes determining, according to the transmit session identifier, the FLUTE session that transmits the file data, and determining repair data of the file data according to the FLUTE session that transmits the file data and further according to the URI corresponding to the file data.

公开(公告)号：US20220215159A1

公开(公告)日：2022-07-07

申请号：US17701775

申请日：2022-03-23

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Lihua Qian ,  Yinpeng Guo ,  Lin Qiu ,  Weinan Zhang ,  Xin Jiang ,  Yong Yu

IPC: G06F40/166 ,  G06F40/20 ,  G06F40/40

Abstract: This disclosure relates to a natural language processing technology, and provides a sentence paraphrase method and apparatus. The method includes: paraphrasing an input sentence by using a sentence paraphrase model, to generate a plurality of candidate paraphrased sentences; and determining a similarity between each of the plurality of candidate paraphrased sentences and the input sentence, to obtain an output sentence whose similarity to the input sentence is greater than or equal to a preset threshold, where each of a plurality of paraphrased sentence generators in the sentence paraphrase model includes one neural network, the plurality of paraphrased sentence generators are trained by using source information and similarity information as a first reward, and the paraphrased sentence is obtained by paraphrasing the training sentence by using the plurality of paraphrased sentence generators. In the sentence paraphrase method, diversity of a paraphrased sentence and quality of the paraphrased sentence can be improved.

公开(公告)号：US12182141B2

公开(公告)日：2024-12-31

申请号：US18191704

申请日：2023-03-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Weiwen Liu ,  Yunjia Xi ,  Jianghao Lin ,  Ruiming Tang ,  Weinan Zhang ,  Yong Yu

IPC: G06F16/2457 ,  G06F16/248 ,  G06F40/103

Abstract: A system is provided for reranking. The system comprises a user device and one or more servers. The system is configured to receive a plurality of candidate lists, rerank the plurality of candidate lists based on page-level information and a format of a recommendation page, generate recommendation results based on the reranked lists, and send the recommendation results to the user device. Each candidate list comprises a plurality of candidate items. The page-level information comprises interactions between the candidate items in each candidate list and between different candidate lists among the plurality of candidate lists. The reranking comprises using the format of the recommendation page to determine pairwise item influences between candidate item pairs among the candidate items in the candidate lists. The user device is configured to display the recommendation page with the recommendation results from the one or more servers.

公开(公告)号：US12175188B2

公开(公告)日：2024-12-24

申请号：US17701775

申请日：2022-03-23

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Lihua Qian ,  Yinpeng Guo ,  Lin Qiu ,  Weinan Zhang ,  Xin Jiang ,  Yong Yu

IPC: G06F40/40 ,  G06F40/166 ,  G06F40/20 ,  G06F40/30

Abstract: This disclosure relates to a natural language processing technology, and provides a sentence paraphrase method and apparatus. The method includes: paraphrasing an input sentence by using a sentence paraphrase model, to generate a plurality of candidate paraphrased sentences; and determining a similarity between each of the plurality of candidate paraphrased sentences and the input sentence, to obtain an output sentence whose similarity to the input sentence is greater than or equal to a preset threshold, where each of a plurality of paraphrased sentence generators in the sentence paraphrase model includes one neural network, the plurality of paraphrased sentence generators are trained by using source information and similarity information as a first reward, and the paraphrased sentence is obtained by paraphrasing the training sentence by using the plurality of paraphrased sentence generators. In the sentence paraphrase method, diversity of a paraphrased sentence and quality of the paraphrased sentence can be improved.

公开(公告)号：US20240202491A1

公开(公告)日：2024-06-20

申请号：US18416924

申请日：2024-01-19

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Wei Guo ,  Jiarui Qin ,  Ruiming Tang ,  Zhirong Liu ,  Xiuqiang He ,  Weinan Zhang ,  Yong Yu

IPC: G06N3/04 ,  G06Q30/0601

CPC classification number: G06N3/04 ,  G06Q30/0631

Abstract: A recommendation device obtains to-be-predicted data and a plurality of target reference samples based on a similarity between the to-be-predicted data and the plurality of reference samples. Each reference sample and the to-be-predicted data each include user feature field data indicating a feature of a target user, and item feature field data indicating a feature of a target item. Each target reference sample and the to-be-predicted data have partially identical user feature field data and/or item feature field data. The recommendation device obtains target feature information of the to-be-predicted data based on the plurality of target reference samples and the to-be-predicted data. The recommendation device then uses the target feature information as input to a deep neural network to obtain a target item that is to be recommended.

公开(公告)号：US20170302403A1

公开(公告)日：2017-10-19

申请号：US15631343

申请日：2017-06-23

Applicant: Huawei Technologies Co., Ltd.

Inventor： Longyu Cao ,  Yong Yu ,  Zhiming Li

IPC: H04L1/00 ,  H04L12/18 ,  H04N21/637 ,  H04L29/06 ,  G06F11/07

CPC classification number: H04L1/004 ,  G06F11/07 ,  H04L12/18 ,  H04L12/1868 ,  H04L65/4076 ,  H04L2001/0092 ,  H04N21/637

Abstract: A file repair method includes receiving, by a broadcast/multicast service center, a file repair request message sent by user equipment, where the file repair request message includes a Uniform Resource Identifier (URI) corresponding to file data to be repaired and a transmit session identifier of a File Delivery over Unidirectional Transport FLUTE session that transmits the file data. The method further includes determining, according to the transmit session identifier, the FLUTE session that transmits the file data, and determining repair data of the file data according to the FLUTE session that transmits the file data and further according to the URI corresponding to the file data.

公开(公告)号：US20240330310A1

公开(公告)日：2024-10-03

申请号：US18191704

申请日：2023-03-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Weiwen Liu ,  Yunjia Xi ,  Jianghao Lin ,  Ruiming Tang ,  Weinan Zhang ,  Yong Yu

IPC: G06F16/2457 ,  G06F16/248 ,  G06F40/103

CPC classification number: G06F16/24578 ,  G06F16/248 ,  G06F40/103

Abstract: A system is provided for reranking. The system comprises a user device and one or more servers. The system is configured to receive a plurality of candidate lists, rerank the plurality of candidate lists based on page-level information and a format of a recommendation page, generate recommendation results based on the reranked lists, and send the recommendation results to the user device. Each candidate list comprises a plurality of candidate items. The page-level information comprises interactions between the candidate items in each candidate list and between different candidate lists among the plurality of candidate lists. The reranking comprises using the format of the recommendation page to determine pairwise item influences between candidate item pairs among the candidate items in the candidate lists. The user device is configured to display the recommendation page with the recommendation results from the one or more servers.

公开(公告)号：US20210256403A1

公开(公告)日：2021-08-19

申请号：US17313383

申请日：2021-05-06

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Ruiming Tang ,  Qing Liu ,  Yuzhou Zhang ,  Li Qian ,  Haokun Chen ,  Weinan Zhang ,  Yong Yu

IPC: G06N5/04 ,  G06N3/04 ,  G06K9/62

Abstract: In a recommendation-providing method in the field of artificial intelligence, an apparatus for generating recommendations obtains a recommendation system status parameter based on a plurality of historical recommended objects and a user behavior for each historical recommended object, such as clicks or downloads. The apparatus determines a target set among lower-level sets according to the recommendation system status parameter and a selection policy corresponding to an upper-level set, where the lower-level sets and upper-level set correspond to nodes on a clustering tree representing available to-be-presented objects, and each set corresponds to one selection policy. The apparatus then determines a target to-be-recommended object from the to-be recommended objects in the target set.