CA3150183C - Methode et dispositif de moteur de traitement de diffusion flink pour la recommandation en temps reel et materiel informatique - Google Patents
Methode et dispositif de moteur de traitement de diffusion flink pour la recommandation en temps reel et materiel informatique Download PDFInfo
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- CA3150183C CA3150183C CA3150183A CA3150183A CA3150183C CA 3150183 C CA3150183 C CA 3150183C CA 3150183 A CA3150183 A CA 3150183A CA 3150183 A CA3150183 A CA 3150183A CA 3150183 C CA3150183 C CA 3150183C
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- 238000000034 method Methods 0.000 title claims abstract description 62
- 238000012545 processing Methods 0.000 title claims abstract description 57
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- 238000004364 calculation method Methods 0.000 claims abstract description 108
- 230000015654 memory Effects 0.000 claims description 88
- 230000002688 persistence Effects 0.000 claims description 59
- 238000004422 calculation algorithm Methods 0.000 claims description 58
- 230000006399 behavior Effects 0.000 claims description 50
- 238000010801 machine learning Methods 0.000 claims description 25
- 238000004590 computer program Methods 0.000 claims description 17
- 238000003066 decision tree Methods 0.000 claims description 12
- 238000012706 support-vector machine Methods 0.000 claims description 12
- 230000036961 partial effect Effects 0.000 claims description 9
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000004044 response Effects 0.000 description 14
- 238000011161 development Methods 0.000 description 7
- 230000002829 reductive effect Effects 0.000 description 7
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24568—Data stream processing; Continuous queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Computing Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
Concernant le domaine de la technologie de recommandation des mégadonnées, la présente demande décrit une méthode du moteur de traitement de flux de Flink pour des recommandations en temps réel, ainsi quun dispositif et un matériel informatique connexes. La méthode comprend le fait deffectuer un calcul de caractéristique à court terme sur une connexion à une file de messages en fonction dun dossier de modèles de calcul et le stockage des caractéristiques à court terme obtenues par le calcul dans une couche de stockage distribué, dans lequel la couche de stockage distribué stocke les caractéristiques à long terme obtenues préalablement et une caractéristique à court terme dun utilisateur recommandé potentiel de la couche de stockage distribué. La méthode comprend également le fait deffectuer une prédiction en temps réel en fonction dun dossier de modèle de prédiction et des caractéristiques à long terme et à court terme de lutilisateur recommandé potentiel, dans le but dobtenir dun résultat de prédiction de préférence de lutilisateur recommandé potentiel, lors de la réception dun événement de la file de messages, ainsi que lécriture du résultat de prédiction de préférence de lutilisateur recommandé potentiel dans la couche de stockage distribué.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110215212.1A CN112948450B (zh) | 2021-02-25 | 2021-02-25 | 用于实时推荐的Flink流式处理引擎方法、装置及计算机设备 |
CN202110215212.1 | 2021-02-25 |
Publications (2)
Publication Number | Publication Date |
---|---|
CA3150183A1 CA3150183A1 (fr) | 2022-08-25 |
CA3150183C true CA3150183C (fr) | 2024-02-27 |
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Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CA3150183A Active CA3150183C (fr) | 2021-02-25 | 2022-02-25 | Methode et dispositif de moteur de traitement de diffusion flink pour la recommandation en temps reel et materiel informatique |
Country Status (2)
Country | Link |
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CN (1) | CN112948450B (fr) |
CA (1) | CA3150183C (fr) |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115499303A (zh) * | 2022-08-29 | 2022-12-20 | 浪潮软件科技有限公司 | 一种基于Flink的日志分析工具 |
CN116049190B (zh) * | 2023-01-18 | 2024-07-23 | 中电金信软件有限公司 | 基于Kafka的数据处理方法、装置、计算机设备和存储介质 |
CN116156263B (zh) * | 2023-03-06 | 2024-07-23 | 四川长虹电器股份有限公司 | 一种用户实时追剧处理方法 |
CN116628274B (zh) * | 2023-07-25 | 2023-09-22 | 浙江锦智人工智能科技有限公司 | 一种针对图数据库的数据写入方法、设备及介质 |
CN117435367B (zh) * | 2023-11-07 | 2024-06-04 | 上海鱼尔网络科技有限公司 | 用户行为处理方法、装置、设备、存储介质和程序产品 |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106126641B (zh) * | 2016-06-24 | 2019-02-05 | 中国科学技术大学 | 一种基于Spark的实时推荐系统及方法 |
CN109635204A (zh) * | 2018-12-21 | 2019-04-16 | 上海交通大学 | 基于协同过滤和长短记忆网络的在线推荐系统 |
CN111897861A (zh) * | 2020-06-30 | 2020-11-06 | 苏宁金融科技(南京)有限公司 | 一种内容推荐方法、装置、计算机设备及存储介质 |
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2021
- 2021-02-25 CN CN202110215212.1A patent/CN112948450B/zh active Active
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2022
- 2022-02-25 CA CA3150183A patent/CA3150183C/fr active Active
Also Published As
Publication number | Publication date |
---|---|
CN112948450A (zh) | 2021-06-11 |
CA3150183A1 (fr) | 2022-08-25 |
CN112948450B (zh) | 2023-04-14 |
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