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Method for providing product recommendation service based on deep-learning neural network

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Рисунок 1. Взаимосвязь патентов (ближайшие 20).

Systems and methods for providing content-based product recommendations

Номер патента: GB2564610A. Автор: Tovey David,Gerard Mchale Brian,W Wilkinson Bruce,D Mattingly Todd. Владелец: Walmart Apollo LLC. Дата публикации: 2019-01-16.

System and method for providing similar or related products based on deep-learning

Номер патента: US20200265495A1. Автор: Myounghoon Cho. Владелец: NHN Corp. Дата публикации: 2020-08-20.

Method and system for providing search results for similar products based on deep-learning

Номер патента: US12062077B2. Автор: Gunhan PARK,Chiyoung SONG. Владелец: NHN Corp. Дата публикации: 2024-08-13.

Method and system for clothing virtual try-on service based on deep learning

Номер патента: US20220318892A1. Автор: Minseok KANG,Rokkyu Lee,Byumhyuk KOO,Hyugjae LEE. Владелец: NHN Cloud Corp. Дата публикации: 2022-10-06.

Method for pattern-analyzing behavior of avatar in metaverse based on deep learning

Номер патента: KR102412142B1. Автор: 이관수,김보,장보금. Владелец: 인트인 주식회사. Дата публикации: 2022-06-22.

Method for providing a customized product recommendation

Номер патента: US20200226660A1. Автор: Mary Katherine Wunderle,Rose Yin. Владелец: Gillette Co LLC. Дата публикации: 2020-07-16.

System and method for providing advertisement to clients in process of online games based on internet

Номер патента: WO2007049833A1. Автор: Jung-Hwan Kim. Владелец: Jung-Hwan Kim. Дата публикации: 2007-05-03.

System and Method for Assessing a User's Likelihood of an In-Store Visit Based on the User's Social Media Activity

Номер патента: US20240029087A1. Автор: Patrick Greer-Moroney. Владелец: Individual. Дата публикации: 2024-01-25.

Method and System for Recommending Products based on Feature Intentions

Номер патента: AU2021103476A4. Автор: Pandi Chiranjeevi,K. C. Ravi Kumar,D. Teja Santosh. Владелец: Ravi Kumar KC. Дата публикации: 2022-05-26.

Recommendation service using pattern mining based on deep learning

Номер патента: KR102254827B1. Автор: 김경은,정진연. Владелец: 정진연. Дата публикации: 2021-05-21.

System and method for machine learning architecture with selective learning

Номер патента: EP4392905A1. Автор: Hasham BURHANI,Xiao Qi SHI. Владелец: ROYAL BANK OF CANADA. Дата публикации: 2024-07-03.

System and method for personalized product recommendation using hierarchical Bayesian

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Upsampling of decompressed financial time—series data using a neural network

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System and method for personalized product recommendation using hierarchical bayesian

Номер патента: US20200258132A1. Автор: Yongjun Bao,Zhexuan Xu. Владелец: JD com American Technologies Corp. Дата публикации: 2020-08-13.

METHOD AND SYSTEM FOR PROVIDING SEARCH RESULTS FOR SIMILAR PRODUCTS BASED ON DEEP-LEARNING

Номер патента: US20220067812A1. Автор: PARK Gunhan,SONG Chiyoung. Владелец: . Дата публикации: 2022-03-03.

SYSTEM AND METHOD FOR DELIVERING PERSONALIZED CONTENT BASED ON DEEP LEARNING OF USER EMOTIONS

Номер патента: US20210065249A1. Автор: RUSSEK David J.. Владелец: . Дата публикации: 2021-03-04.

Systems and methods for virtual application of cosmetic effects to photo albums and product promotion

Номер патента: US20190244260A1. Автор: Yi-Wei Lin,Horng Wu,Ying-Yin Lin. Владелец: Perfect Corp. Дата публикации: 2019-08-08.

SYSTEM AND METHOD FOR PROVIDING SIMILAR OR RELATED PRODUCTS BASED ON DEEP-LEARNING

Номер патента: US20200265495A1. Автор: CHO Myounghoon. Владелец: . Дата публикации: 2020-08-20.

METHOD AND SYSTEM FOR PRODUCT SEARCH BASED ON DEEP-LEARNING

Номер патента: US20220101032A1. Автор: CHO Myounghoon. Владелец: . Дата публикации: 2022-03-31.

SYSTEM AND METHOD FOR DETECTING COUNTERFEIT PRODUCT BASED ON DEEP LEARNING

Номер патента: US20190188729A1. Автор: Zhang Weidong,ZHANG CHI,Tai Hung-Shuo,Mao Hongda,Lyu Chumeng. Владелец: . Дата публикации: 2019-06-20.

Crop Disease Analysis Method Based on Deep Learning

Номер патента: NL2027275B1. Автор: Huang Wei,XIA Yongquan,TIAN Erlin,Li Zuhe,yao Ni. Владелец: Univ Zhengzhou Light Ind. Дата публикации: 2022-07-22.

Analysis method of saline water resources in irrigation areas based on deep learning

Номер патента: LU504356B1. Автор: Ping Li,Yun Gao,Youming Zhang. Владелец: Farmland Irrigation Res Institute Of Caas. Дата публикации: 2024-10-25.

Coal mine gas prediction method based on deep learning

Номер патента: CN111126658A. Автор: 王毅,张林娟,景毅. Владелец: TAIYUAN UNIVERSITY OF TECHNOLOGY. Дата публикации: 2020-05-08.

The retrieval system of wearing safety helmet based on deep learning

Номер патента: AU2020100711A4. Автор: CHEN Zhi,Tong Liu,Cheng Chang,Ye Wang,Heng Wu,Zhenxiang Li. Владелец: Wang Ye Miss. Дата публикации: 2020-06-11.

Bird recognition method based on deep learning

Номер патента: AU2021100097A4. Автор: Alok Kumar Srivastava,Lalit Mohan Goyal,Sunny Behal,Anu Saini,Surender. Владелец: Goyal Lalit Mohan Dr. Дата публикации: 2021-04-01.

Method for scheduling of shooting satellite images based on deep learning

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A method for students' private information protection based on deep learning

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Novelty detection using deep learning neural network

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Method and system for predicting a binding affinity of protein structures based on deep learning

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Storage and inference method for deep-learning neural network

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Antibody library construction method and device based on deep learning

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Method, program and device for improving quality of medical data based on deep learning

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Method of stripping strong reflection layer based on deep learning

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Vision inspection system based on deep learning and vision inspecting method thereof

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Hybrid disease and pest identifying device and method based on deep learning

Номер патента: LU102773B1. Автор: Song Caixia,Xu Pengmin,Qi Zhiguo,Lv Guangjie. Владелец: Univ Qingdao Agricultural. Дата публикации: 2021-10-25.

Hybrid disease and pest identifying device and method based on deep learning

Номер патента: AU2021101759A4. Автор: Caixia Song. Владелец: Qingdao Agricultural University. Дата публикации: 2021-07-08.

Lane line detection method based on deep learning, and apparatus

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Methods for acquiring aorta based on deep learning and storage media

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Method and apparatus for bandwidth filtering based on deep learning, server and storage medium

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Dynamic adjustment of autonomous vehicle system based on deep learning optimizations

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Chromosome recognition method based on deep learning

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