MX2021005105A - Tecnicas para recomendar articulos a los usuarios. - Google Patents

Tecnicas para recomendar articulos a los usuarios.

Info

Publication number
MX2021005105A
MX2021005105A MX2021005105A MX2021005105A MX2021005105A MX 2021005105 A MX2021005105 A MX 2021005105A MX 2021005105 A MX2021005105 A MX 2021005105A MX 2021005105 A MX2021005105 A MX 2021005105A MX 2021005105 A MX2021005105 A MX 2021005105A
Authority
MX
Mexico
Prior art keywords
application
service application
interface
item
user
Prior art date
Application number
MX2021005105A
Other languages
English (en)
Inventor
Harald Steck
Original Assignee
Netflix Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Netflix Inc filed Critical Netflix Inc
Publication of MX2021005105A publication Critical patent/MX2021005105A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0641—Shopping interfaces
    • G06Q30/0643—Graphical representation of items or shoppers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

En varias modalidades, una aplicación de entrenamiento genera un modelo de predicción de preferencias basado en una matriz de interacción y una solución de forma cerrada para minimizar un Lagrangiano. La matriz de interacción refleja las interacciones entre usuarios y artículos, y el Lagrangiano se forma en función de un problema de optimización restringido asociado con la matriz de interacción. Una aplicación de servicio genera una primera interfaz de aplicación que se presentará al usuario. La aplicación de servicio calcula la (s) puntuación (es) predichas usando el modelo de predicción de preferencias, en donde cada puntuación predicha predice una preferencia del usuario por un artículo diferente. La aplicación de servicio determina entonces un primer artículo de los artículos para presentar al usuario a través de un elemento de interfaz incluido en la interfaz de la aplicación. Posteriormente, la aplicación de servicio hace que se muestre una representación del primer artículo a través del elemento de interfaz incluido en la interfaz de aplicación.
MX2021005105A 2018-11-01 2019-10-30 Tecnicas para recomendar articulos a los usuarios. MX2021005105A (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201862754536P 2018-11-01 2018-11-01
US16/664,761 US11551280B2 (en) 2018-11-01 2019-10-25 Method, manufacture, and system for recommending items to users
PCT/US2019/058742 WO2020092488A1 (en) 2018-11-01 2019-10-30 Techniques for recommending items to users

Publications (1)

Publication Number Publication Date
MX2021005105A true MX2021005105A (es) 2021-06-15

Family

ID=70458588

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2021005105A MX2021005105A (es) 2018-11-01 2019-10-30 Tecnicas para recomendar articulos a los usuarios.

Country Status (7)

Country Link
US (1) US11551280B2 (es)
EP (1) EP3874419A1 (es)
AU (1) AU2019373211B2 (es)
BR (1) BR112021008296A2 (es)
CA (1) CA3118083C (es)
MX (1) MX2021005105A (es)
WO (1) WO2020092488A1 (es)

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US11922314B1 (en) * 2018-11-30 2024-03-05 Ansys, Inc. Systems and methods for building dynamic reduced order physical models
CN109754316B (zh) * 2018-12-29 2022-07-29 深圳Tcl新技术有限公司 产品推荐方法、产品推荐系统及存储介质
JP7392366B2 (ja) * 2019-10-01 2023-12-06 富士通株式会社 最適解獲得プログラム、最適解獲得方法および情報処理装置
US20210256367A1 (en) * 2020-02-14 2021-08-19 Microsoft Technology Licensing, Llc Scoring for search retrieval and ranking alignment
SG11202102554PA (en) * 2020-04-13 2021-04-29 Alipay Hangzhou Inf Tech Co Ltd Method and system for optimizing allocation of borrowing requests
CN111553743A (zh) * 2020-05-08 2020-08-18 深圳前海微众银行股份有限公司 联邦产品推荐方法、装置、设备及计算机存储介质
US11847106B2 (en) * 2020-05-12 2023-12-19 Hubspot, Inc. Multi-service business platform system having entity resolution systems and methods
CN112149004B (zh) * 2020-10-30 2022-10-25 中国科学院计算技术研究所 一种基于协同知识图谱的个性化推荐方法
CN112861012B (zh) * 2021-03-09 2022-11-08 河南工业大学 基于上下文和用户长短期偏好自适应学习的推荐方法及装置
CN113033090B (zh) * 2021-03-24 2023-03-03 平安科技（深圳）有限公司 推送模型训练方法、数据推送方法、装置及存储介质
US11540017B1 (en) * 2021-05-19 2022-12-27 Spotify Ab System and method for generating models representing users of a media providing service
CN113468229B (zh) * 2021-07-16 2023-04-25 南京信息工程大学 一种基于连续评分的推荐系统加权相似性度量方法
CN113722608B (zh) * 2021-07-21 2024-03-22 中国科学院信息工程研究所 迭代副信息指导下基于关联关系学习的协同过滤方法及装置
CN113537622B (zh) * 2021-07-30 2022-04-29 烟台大学 基于动态信任感知的服务偏好预测方法及系统
US20230072297A1 (en) * 2021-08-30 2023-03-09 Accenture Global Solutions Limited Knowledge graph based reasoning recommendation system and method
US11947896B2 (en) 2022-06-24 2024-04-02 Adobe Inc. Font recommendation
CN115098931B (zh) * 2022-07-20 2022-12-16 江苏艾佳家居用品有限公司 一种用于挖掘用户室内设计个性化需求的小样本分析方法
US11886809B1 (en) * 2022-10-31 2024-01-30 Adobe Inc. Identifying templates based on fonts
CN115829421B (zh) * 2023-02-20 2023-05-05 杭银消费金融股份有限公司 一种用于业务需求的智能分析方法及系统

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US7054847B2 (en) * 2001-09-05 2006-05-30 Pavilion Technologies, Inc. System and method for on-line training of a support vector machine
US7949659B2 (en) * 2007-06-29 2011-05-24 Amazon Technologies, Inc. Recommendation system with multiple integrated recommenders
US9836545B2 (en) * 2012-04-27 2017-12-05 Yahoo Holdings, Inc. Systems and methods for personalized generalized content recommendations
US8983888B2 (en) * 2012-11-07 2015-03-17 Microsoft Technology Licensing, Llc Efficient modeling system for user recommendation using matrix factorization
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US10558913B1 (en) * 2018-10-24 2020-02-11 Equifax Inc. Machine-learning techniques for monotonic neural networks

Also Published As

Publication number Publication date
WO2020092488A1 (en) 2020-05-07
US11551280B2 (en) 2023-01-10
BR112021008296A2 (pt) 2021-09-08
AU2019373211A1 (en) 2021-05-27
AU2019373211B2 (en) 2022-08-11
CA3118083A1 (en) 2020-05-07
EP3874419A1 (en) 2021-09-08
US20200143448A1 (en) 2020-05-07
CA3118083C (en) 2024-02-27

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